Rishabh Dhawad RishabhDhawad

👨‍💻 About Me

Hi, I'm Rishabh Dhawad 👋

🔭 Currently building a scalable stock market analytics & pattern detection platform
⚙️ Designing backend systems using FastAPI, Flask, and PostgreSQL
📊 Working with large financial datasets (2500+ NSE stocks, 5+ years time-series data)
🗄️ Migrating file-based JSON systems into structured relational database architecture
🧠 Implementing technical pattern engines (Double Bottom, Double Top, 50% Moves, multi-timeframe scans)
🚀 Focused on clean architecture, performance optimization, and production-grade API design
🤖 Experience with AI systems, NLP pipelines, and LLM-based applications
🏗️ Interested in backend engineering, data systems, automation, and scalable infrastructure

💬 Languages: Python, SQL, JavaScript, C++, Java
⚡ Backend: FastAPI, Flask, REST API design, async programming
🗄️ Databases: PostgreSQL, schema design, indexing, query optimization
📊 Data & Analytics: Pandas, NumPy, time-series processing, financial data analysis
🌐 Frontend: React JS, Tailwind CSS, Redux Toolkit
🛠️ Automation & Tools: Selenium, Email automation, WhatsApp integrations
🤖 AI & NLP: LLM integrations (Ollama), recommendation systems
🔧 Dev Tools: Git, Linux, VS Code, Postman
📚 Currently diving deeper into database architecture, caching strategies, system design, and scalable backend systems

📈 Building a Stock Scanner Engine analyzing 2500+ stocks across multiple timeframes
🗃️ Designing optimized PostgreSQL schema for OHLC + pattern metadata storage
🔄 Implementing batch processing systems with in-memory caching to reduce disk I/O
📡 Creating modular FastAPI endpoints for analytics serving
📊 Structuring 5-year historical financial datasets for efficient querying
🧱 Refactoring monolithic JSON-based workflows into maintainable service architecture
⚡ Improving performance for large-scale time-series computations

📊 Stock Market Analytics Platform – Pattern detection engine built with FastAPI + PostgreSQL featuring multi-timeframe scanning and structured financial data architecture.
📝 Blogify – React + Flask – Full-stack blogging platform with authentication, CRUD operations, and image uploads.
📚 Flask Blog App – Server-rendered blog application with user authentication and media handling.
📈 Market Snapshot (NSE) – Automated NSE top gainers & losers email reporting system using Python.
🚨 Stock Alert Automation – Real-time and daily stock alerts via Email and WhatsApp integrations.
🎭 Face Recognition Attendance System – Python-based automated attendance system powered by face detection.
🛍️ Stree Vendors – React platform connecting women-led local businesses with customers.
🤖 AI Chat Application – Full-stack AI chat app with streaming responses using Ollama (Llama3, Gemma).
📄 Docs Mini App – Lightweight Google Docs clone with real-time collaborative editing.

FastAPI • Flask • PostgreSQL • React • Python • AI Integration • Automation • System Design