Full Stack Web & AI Developer specializing in algorithmic trading, financial analytics, and trading platforms. Skilled in building high-performance web applications (React, Node.js, Python) and integrating AI/ML (TensorFlow, PyTorch) for predictive modeling, risk analysis, and automated trading strategies. Experienced with real-time data processing (APIs, WebSockets), quantitative analysis, and blockchain-based trading solutions. Passionate about merging cutting-edge tech with finance to build scalable, data-driven trading ecosystems.
- Frontend: React.js, Next.js, Angular.js, Vue.js, TypeScript, TailwindCSS, Redux
- Backend: Node.js, Express.js, Nest.js, Ruby on Rails, Django, Flask, FastAPI, GraphQL
- Databases: PostgreSQL, MongoDB, Firebase
- DevOps: Docker, AWS, Vercel
- Version Control: Git, GitHub, CI/CD
- LLMs & NLP: OpenAI (GPT-4, Whisper), LangChain, LlamaIndex, Transformers (Hugging Face)
- AI for Trading: Predictive Modeling, Sentiment Analysis (News/Social Media), Portfolio Optimization
- Model Integration: Python APIs, FastAPI, RESTful AI services, Retrieval-Augmented Generation (RAG)
- Data & Training: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch (basic)
- AI Tooling: Pinecone, Weaviate, ChromaDB, Vector Embeddings
- Quantitative Analysis, Technical Indicators (RSI, MACD), Candlestick Pattern Recognition
- Risk Management, Position Sizing, Statistical Arbitrage
- Real-Time Data Processing (WebSockets, Kafka), Time-Series Analysis
- Smart Contracts: Solidity, Rust (Solana), Hardhat, Foundry
- DeFi & Trading: CEX/DEX APIs (Binance, Coinbase), Automated Market Makers (AMM), Liquidity Pools, MEV Strategies
- Trading Bots: Algorithmic Trading (Python), High-Frequency Trading (HFT) Systems, Backtesting (Backtrader, QuantConnect)
- Tools: Ethers.js, Web3.js, Moralis, IPFS