Description:
I’m looking for a developer who can help deploy a web app using Railway for the backend and database, and Vercel for the frontend.

The backend is built in .NET and currently set up to use SQL Server, but I want to migrate it to PostgreSQL on Railway. The frontend is built in Next.js and is already hosted on Vercel.

What needs to be done:

Update the backend to work with PostgreSQL instead of SQL Server

Ensure the backend is fully deployed and connected to the PostgreSQL database on Railway

Make sure the frontend and backend are working together as expected

Requirements:

Experience with Railway and Vercel

Experience with .NET and PostgreSQL

Strong understanding of full-stack deployment

Let me know your experience and how soon you could get started.

We want to build a custom GPT that can be integrated into our website. The tool should be able to analyze a given text, assess its quality based on our predefined rules, and provide actionable recommendations for improvement.

We already have a half done tool, but this needs adjustment.

We have an existing membership-based web portal built on Laravel. We are looking for an experienced developer with proven expertise in video conferencing and live streaming APIs to help us implement scalable, interactive video features in our platform.

You will interact with our backend Laravel developer if and when needed.

We will most probably choose between 100ms.live and videosdk.live as Video API provider. They both provide a Vanilla Javascript SDK which we plan to use.

============================
The core use case involves:
============================

Phase 1: Hosting a large-scale interactive livestream session (host/speaker to 10,000+ viewers) directly within our Laravel web portal.

Phase 2: At the click of a button, transitioning all viewers from the livestream into small-group, real-time breakout rooms (2,000 rooms with 5 participants each) for further discussion, also within the portal.

Additional Needs:
API-based orchestration for automatic group assignment (basing on our proprietary algorithm) , seamless participant transitions, role management, and robust user experience.
Note: The composition of these breakout rooms won’t be random. We have an algorithm which will determine the composition of the breakout rooms according to our users’ age, location and more (these users data are in our DB).

============================
Your Role
============================

- Act as our subject-matter expert for video capabilities.

- Architect the integration of the video API into our Laravel-based frontend and backend.

- Work closely with our existing Laravel full-stack developer to guide, review, and help implement:

- Authentication flows

- API calls (room/group creation, joining logic, transitions)

- Frontend video UI (using 100ms web SDK or your own components)

- Backend orchestration for mass breakout assignment

- Error handling and scalability

- Advise on platform quotas, best practices, and performance.

============================
Requirements:
============================

- Demonstrable experience integrating video APIs into production web applications.

- Strong expertise in WebRTC protocols and real-time media streaming.

- Understanding of HLS (HTTP Live Streaming) for large-scale broadcast video delivery.

- Experience integrating systems that combine WebRTC-based interactivity with scalable HLS livestreams.

- Strong understanding of live video streaming, real-time APIs, and breakout/session management.

- Good communication skills; able to explain architecture and create clear implementation plans for our Laravel developer.

- Up-to-date knowledge on large-scale event, mass breakout, and video room performance best practices.

============================
PLEASE APPLY ONLY IF YOU HAVE A STRONG PROVEN EXPERIENCE OF VIDEO APIS - WHICH MUST BE EVIDENT FROM YOUR CV.
============================

We are seeking an experienced full-stack development agency to build a robust AI-powered Financial Reporting platform tailored for businesses of all sizes. This platform will serve as a centralized hub for uploading, processing, auditing, and visualizing financial documents using advanced OCR, intelligent document parsing, and data analytics capabilities.
Our objective is to simplify financial workflows by automating document intake, ensuring regulatory audit-readiness, and generating dynamic financial reports (e.g., P&L, cash flow, balance sheets) from structured and unstructured data.

Core Features We’re Looking For:

Document Upload & OCR:

Ability to ingest scanned documents (PDFs, images, receipts, invoices, etc.) and extract data using OCR (preferably Tesseract, Google Vision, or similar).

Intelligent Document Processing:

Auto-tagging, categorization (Invoice, P&L, Statement), and mapping data to pre-set financial structures (chart of accounts, cost centers, etc.)

Financial Report Generation:

Generate accurate and customizable financial reports with filters by time period, business unit, or document category.

Audit & Compliance Trail:

Ability to audit financial records, track changes, attach annotations, and export compliant logs for audit purposes.

Role-based Access:

Admin, Accountant, Reviewer, Auditor roles with permission settings and access logging.

Dashboard & Visualizations:

Real-time dashboards showing financial health, pending tasks, red flags, and anomalies using charts and KPIs.

Integrations (Bonus):

Ability to connect with QuickBooks, Xero, or ERP systems via APIs.

Admin Panel:

For platform usage management, user control, and system logs.

Ideal Agency Profile:
We are looking for an agency with prior experience in developing Fintech, Document Intelligence, or Audit Platforms—especially those who have worked with OCR, AI-based data extraction, and enterprise-grade backend systems.
Your agency should be confident in:

Building secure, scalable, and modular platforms

Creating elegant and intuitive user interfaces (preferably with dashboards)

Handling sensitive financial data with encryption, access control, and secure storage

Delivering testable, well-documented codebases with CI/CD pipelines

Preferred Skills & Technologies:

Backend: Node.js / Django / Laravel

Frontend: React.js / Vue.js

OCR/AI: Tesseract / Google Vision / AWS Textract

Database: PostgreSQL / MongoDB

Cloud: AWS / Azure / GCP

CI/CD: GitHub Actions / Docker / Jenkins

Security: OAuth2, Role-Based Access Control, Data Encryption, Audit Logging

Sample Portfolio or Similar Platforms (Ideal but not mandatory):

OCR-based invoice/document processing platforms

Financial automation/reporting dashboards

Audit compliance or governance risk control systems

ERP, Accounting, or Bookkeeping automation tools

Submission Instructions:
If your agency has experience with AI document processing, OCR data extraction, or financial systems, we’d love to hear from you!
Please include:

A brief agency introduction and team strength

Relevant portfolio links or case studies (with features related to OCR/Finance/Compliance)

Your proposed tech stack

Timeline and rough milestone breakdown

Any questions or assumptions you’d like us to clarify

We're ready to begin immediately and are open to a discovery phase if needed. Looking forward to collaborating with a proactive and detail-driven team!

Let’s build something powerful together.

# AI-First Platform Developer: Email + AI Concierge MVP (Smart Life Assistant)

## Revolutionary Vision
We're building an **AI Concierge Platform** that manages your entire digital life. Think "Jarvis from Iron Man" meets modern email service. Our AI analyzes your emails and services to proactively manage your life, detect conflicts, and provide intelligent suggestions.

## Core Innovation:
**AI Concierge = Our Main USP**
- Multi-LLM system: Route tasks to best/cheapest model for each job
- Smart email analysis: Extract events, deadlines, important info automatically
- Proactive conflict detection: "Meeting conflicts with doctor appointment"
- Cross-service intelligence: Email insights inform other services

## MVP Strategy:
**Phase 1**: Email + Basic AI Assistant (validate AI concept)
**Phase 2**: Advanced AI Concierge (multi-LLM routing, smart suggestions)
**Phase 3**: Multi-service integration (VPN, calendar, etc.)

## Technical Requirements

### Core Stack:
- **Backend**: Python (FastAPI) - optimal for multi-LLM integration
- **AI/ML**: Multi-LLM routing system (LLM via Openrouter)
- **Database**: Vector database (Pinecone/Weaviate) + PostgreSQL
- **Email API**: Mailgun/Resend for reliable email delivery
- **Frontend**: React/Next.js with real-time AI chat interface
- **Mobile**: React Native for instant AI notifications

### AI Development Expertise (CRITICAL):
- **Quality-Cost Optimization** - Balancing AI performance with operational efficiency
- **Dynamic Model Selection** - Real-time routing based on quality requirements
- **AI Performance Monitoring** - Tracking quality metrics across different models
- **Email/Data Processing** - Complex email content parsing with high accuracy
- **Vector Databases** - Semantic search and content indexing
- **Quality-Aware Systems** - Building AI that prioritizes user satisfaction
- **Full-stack AI Applications** - Complete AI product development with quality focus

### Modern Development Tools:
- **AI-Assisted Coding**: GitHub Copilot, Claude, Cursor for rapid development
- **LLM API Management**: Experience with multiple model providers
- **Cost monitoring**: Track LLM usage and optimize spend

## Project Scope

### Phase 1 - Email + Basic AI:
**Email Foundation:**
- Clean email service (send/receive via Mailgun)
- Modern web interface with AI chat sidebar
- Mobile-responsive design

**Basic AI Concierge:**
- Multi-LLM routing system (LLM1 for analysis, LLM2 for summaries)
- Email summarization and priority detection
- Simple AI commands and natural language queries
- Context-aware responses

**Smart LLM Architecture:**
- Quality-first approach with cost optimization
- Vector database for efficient email search
- Background processing for email analysis

### Phase 2 - Smart AI Concierge:
**Advanced AI Features:**
- **Dynamic LLM Selection**: Real-time model selection for optimal quality-to-cost ratio
- **Context-aware routing** balancing performance and efficiency
- **Quality-first approach** with cost optimization
- **Smart escalation chains** when quality matters most

**Quality-First Model Selection:**
- Real-time quality-cost analysis for model selection
- Performance monitoring and quality score tracking
- Smart escalation when quality thresholds aren't met
- User satisfaction optimization with cost awareness

### Phase 3 - Multi-Service Integration:
**VPN Integration Preparation:**
- Database schema for VPN service integration
- User model extension for service permissions
- API endpoints planning for future VPN connection
- Architecture documentation for seamless service addition

## AI Concierge Use Cases

### Email Intelligence Examples:
```
📧 Bills & Finance:
"Your electricity bill is due in 3 days, but I notice you're traveling.
Set up auto-pay or pay now?"

📧 Health & Appointments:
"Lab results came in - everything normal. Your next checkup is in 2 months,
should I remind you to schedule?"

📧 Work & Deadlines:
"Project deadline moved to Friday, but you have 3 meetings that day.
Suggest rescheduling the 2PM call?"

📧 Social & Events:
"Wedding RSVP due tomorrow. Based on your calendar, you're free that weekend.
Should I confirm attendance?"

📧 Shopping & Subscriptions:
"Amazon package delayed, but you ordered it for tomorrow's party.
Want me to find same-day delivery alternatives?"

📧 Family & Personal:
"Mom's birthday is next week. Last year you sent flowers on Tuesday.
Similar gift this year or try something new?"
```

### Smart Automation Examples:
```
📊 Email Categorization:
- Bills → Auto-extract amounts, due dates
- Appointments → Add to calendar, set reminders
- Receipts → Track expenses, warranty info
- Social → Priority based on relationship strength

🔔 Proactive Notifications:
- "Credit card statement shows unusual spending in restaurants - reviewing budget?"
- "Three job applications sent last month, no responses yet. Time to follow up?"
- "Gym membership expires next month, but you haven't been in 3 weeks"

🎯 Context-Aware Suggestions:
- "Working late again? Your dinner reservation is in 2 hours"
- "Ordered coffee machine, but also signed up for coffee subscription yesterday"
- "Meeting with John tomorrow - here's context from your last 3 conversations"
```

### Dynamic Multi-LLM Routing:
```
Quality-First Model Selection → Optimal Cost-Performance Balance:

"Summarize my emails"
→ Llama 4 delivers 95% quality at $0.0001/1k tokens ✅

"I have a complex schedule conflict with multiple meetings and travel"
→ GPT-4 needed for 98% accuracy on complex reasoning ($0.03/1k tokens)
→ DeepSeek might only achieve 75% accuracy - quality gap too large ❌

"Quick question about my Amazon order"
→ DeepSeek delivers 90% quality at $0.0002/1k tokens ✅

"Help me write a sensitive email to my boss about promotion"
→ GPT-4 required for nuanced communication (quality critical) ✅
→ Cheaper models risk career-damaging mistakes ❌

Quality-Cost Decision Matrix:
- High-stakes situations: Quality trumps cost (use best model)
- Routine tasks: Cost-effective models that maintain acceptable quality
- User satisfaction: Monitor response quality scores per model
- Smart fallback: Auto-escalate if cheaper model fails quality threshold
- A/B testing: Continuously optimize model selection algorithms
```

## Ideal Developer/Agency Profile:

### Must Have Experience:
- **Quality-Cost Optimization** - Balancing AI performance with operational efficiency
- **Dynamic Model Selection** - Real-time routing based on quality requirements
- **AI Performance Monitoring** - Tracking quality metrics across different models
- **Email/Data Processing** - Complex email content parsing with high accuracy
- **Vector Databases** - Semantic search and content indexing
- **Quality-Aware Systems** - Building AI that prioritizes user satisfaction
- **Full-stack AI Applications** - Complete AI product development with quality focus

### Bonus Expertise:
- Personal assistant/productivity app development
- Natural language processing for personal data
- Cost optimization for AI/ML systems
- Background job processing systems
- Mobile AI app development

## Application Requirements:

### Must Include:
1. **Multi-LLM Portfolio**:
- Experience with multiple AI model providers
- Cost optimization strategies you've implemented
- Performance comparisons between different LLMs

2. **Technical Architecture**:
- How would you design the multi-LLM routing system?
- Cost-effective AI processing architecture
- Real-time AI response system design
- Background email analysis workflow

3. **AI Development Approach**:
- Task-specific LLM selection strategy
- Vector database setup and optimization
- Context management for conversational AI
- Cost monitoring and optimization methods

4. **Practical Examples**:
- Show examples of AI task routing you've built
- Demonstrate understanding of different LLM strengths
- Cost analysis of different AI approaches

## Key AI Features Checklist:

### Email Intelligence:
- [ ] Multi-LLM email analysis system
- [ ] Automatic categorization and priority detection
- [ ] Contact relationship mapping
- [ ] Content extraction (dates, amounts, deadlines)

### Intelligent Assistance:
- [ ] Conflict detection across different life areas
- [ ] Proactive suggestion generation
- [ ] Context-aware conversation memory
- [ ] Smart notification timing

### Quality-Optimized Dynamic AI:
- [ ] Real-time quality-cost analysis for model selection
- [ ] Performance monitoring and quality score tracking
- [ ] Smart escalation when quality thresholds aren't met
- [ ] User satisfaction optimization with cost awareness

### User Experience:
- [ ] Natural language email queries
- [ ] Real-time AI responses
- [ ] Learning user preferences
- [ ] Cross-service intelligence

## Critical Questions:
1. **Quality-cost optimization** - How do you balance AI quality with operational costs?
2. **Model performance tracking** - Show examples of quality monitoring systems you've built
3. **Smart escalation logic** - When and how do you automatically upgrade to better models?
4. **Quality threshold management** - How do you ensure minimum quality standards per task type?
5. **A/B testing for AI** - Experience with optimizing model selection based on user satisfaction?
6. **Practical examples** - Demonstrate quality-cost decision making in previous AI projects

## Success Metrics:
- **Optimal quality-cost balance** - Maximum user satisfaction at sustainable costs
- **Quality-first user experience** - AI that never compromises on critical tasks
- **Smart cost optimization** - Efficient spending without sacrificing quality
- **Performance monitoring** - Continuous quality improvement across all models
- **Scalable quality standards** - Consistent excellence as user base grows

**This is not just another email service - we're building the future of AI-powered personal assistance with smart cost optimization.**

---

*Only apply if you have real multi-LLM integration experience. Show us your AI portfolio and cost optimization strategies.*

We’re looking for a talented AI Agent Developer who loves building smart, conversational AI assistants. If you’re passionate about creating voice and text-based AI that feels natural and helpful, this role is for you! You’ll work with the latest AI models (like GPT-4 and Claude), design engaging chatbots, and integrate voice tech (such as 11Labs and Whisper) to make interactions seamless.

What You’ll Do:
- Build AI-powered chatbots and voice assistants that understand and respond like a human.
- Use LLMs (GPT-4, Claude) and NLP to improve conversations, making them smoother and more intuitive.
- Connect AI workflows with tools like n8n and AWS Lambda to automate tasks efficiently.
- Add voice recognition and speech synthesis (like 11Labs and Google TTS) for a richer user experience.
- Work with frontend and backend teams to bring AI features to websites, apps, and voice platforms.
- Optimize AI agents for industries like Real Estate, E-commerce, and Customer Support.
- Keep improving AI performance based on real user feedback.

What You Bring:
- 5+ years of experience in AI/ML, especially in chatbots, NLP, and conversational AI.
- Strong skills in Python, JavaScript, and frameworks like LangChain and FastAPI.
- Experience with voice AI tools (Whisper, 11Labs) and automation platforms (n8n, Zapier).
- Knowledge of vector databases (Pinecone, FAISS) and cloud services (AWS, GCP).

Bonus Points If You Have:
- Experience with AI video tools (RunwayML, Synthesia).
- Some frontend skills (Tailwind, Material UI).
- Experience working in Agile teams with designers and product managers.

We're looking for an N8N, workflow automation, JSON expert that loves helping solve business problems with intelligent workflows, and has great attention to detail, dedication and committment to not just delivering systems but testing them to ensure they work end to end. The right person will enjoy being part of a collaborative team and the go-to expert on this topic for us.

The bot is to ideally work on ctrader with the bot written in ctraders built in platform cbot. Potential returns after optimisation to aim for 7-11% ROI YoY. Running times will be established after optimisation due to manual back testing playing a large part in the success of the bot.

The idea of the bot is that it is actively monitors the prices points of some of the most popular technical analysis (TA) tools and indicators.
Each TA and indicator is assigned as being either major or minor. Each one is considered a confluence.

The bot will actively monitor for when the different major and minor confluences become within a set price range of each other. The alignment in price of multiple confluences at once is what creates a trade signal.

The bot should draw technical analysis precisely to specific parameters to avoid false readings

Ideally the bot will have the capability of being “customisable” possibly through a user interface. This aspect should allow for the bot to only search for specific major and minor confluences that are selected. This will allow for intensive back testing.

Parameters for position sizing, stop loss levels and take profit levels should be fixed but customisable. Trades should exit upon a trade signal for a counter position.

About the Role:
We’re looking for a skilled and solution-oriented developer to help us build or integrate a system that syncs inventory and sales data across multiple e-commerce platforms — including Shopee, Lazada, TikTok Shop, our website, and any future channels.

Your job is to create a centralized, automated platform where we can track real-time inventory, orders, and sales from all marketplaces we operate on — saving us time, avoiding overselling, and streamlining operations.

Responsibilities:
Develop or customize a system to connect and sync data from various sales platforms (via APIs, plugins, or custom scripts)

Integrate platforms such as Shopee, Lazada, TikTok Shop, WooCommerce/Shopify, etc.

Automate inventory updates, order tracking, and sales reporting

Troubleshoot issues with data syncing or platform connectivity

Create dashboards or reports for real-time sales and inventory tracking

Ensure data accuracy and prevent overselling or stock discrepancies

Requirements
Experience with API integration (RESTful APIs, Webhooks, etc.)

Proficiency in a programming language (e.g. Python, PHP, JavaScript, or similar)

Familiarity with e-commerce platforms (Shopee, Lazada, etc.)

Experience working with databases (e.g. MySQL, PostgreSQL)

Ability to work independently, solve problems, and deliver scalable solutions

Bonus if you have:
Worked with ERP or inventory management systems

Built custom e-commerce dashboards or admin tools

Experience with Shopify, WooCommerce, or other webstore platforms

Familiarity with warehouse management and logistics tech

**Location:** Sydney, Australia
**Employment Type:** Full Time

We believe work doesn’t have to be slow or uninspiring. But making meaningful change in any industry is tough — and we’re going to need great people to help us do it.

### About Us

We’re a fast-growing Australian company working on complex problems with a simple goal: make things work better for customers and businesses alike. We do this by combining design, technology, and operational know-how to create great user experiences and internal tools that scale.

Founded in 2019, we’ve served hundreds of thousands of users globally. Our work spans multiple brands and business units, and we’re powered by a distributed team across Australia and overseas.

We’re backed by top-tier investors, and we’re expanding into new markets and product areas.

### About the Role

We’re looking for a **Senior Fullstack Software Engineer** to join our engineering team. You’ll be part of a high-performing, collaborative team working across both product and internal tools.

**You will:**

* Help shape the architecture of robust and scalable systems
* Work closely with product, design, operations, and other business functions
* Build customer-facing products as well as internal tools for our team
* Balance rapid prototyping with stability, modularity, and security
* Mentor other engineers and contribute to a strong engineering culture

### About You

* You’re a problem solver who thrives in fast-paced environments
* You enjoy shaping product direction and contributing beyond just code
* You’re a strong communicator, comfortable with ambiguity and iteration
* You’ve worked in startups, scale-ups, or tech-led businesses
* You’re a fullstack engineer, with solid experience in at least one area (frontend/backend)
* You’ve led projects end-to-end, from discovery to deployment and monitoring
* You write clean, maintainable code and value thoughtful feedback

### Why Join Us?

* **Lean team, big impact:** You’ll help shape what we build and how we build it
* **Fast shipping culture:** We deploy often and move quickly
* **Modern stack:** React, TypeScript, Node, Go, GraphQL, GCP — and we keep improving