I build scalable full-stack and AI/ML systems, combining software engineering with machine learning to solve real-world problems in financial systems, real-time data processing, and intelligent automation.
💼 Software Engineer Intern @ FinbudAI
- Building a quantitative trading platform using React, TypeScript, Node.js
- Developing RAG-based ML systems with LangChain to improve financial analysis accuracy
🤖 Working on AI-powered systems using:
- TensorFlow, LangChain, PyTorch
- Real-time data pipelines and model validation
- Full-stack development (React, Node.js, FastAPI)
- AI/ML systems and applied machine learning
- System design & scalable backend architectures
- Financial technology (FinTech) and data-driven applications
Languages:
Python, C/C++, JavaScript, TypeScript, Java, SQL, R
Frameworks & Libraries:
React, Next.js, Node.js, Vue.js, Express, FastAPI, Flask, Tailwind CSS
AI & ML:
TensorFlow, PyTorch, LangChain, scikit-learn, pandas, NumPy, OpenAI API, RAG (Architecture)
Cloud, Databases & DevOps:
AWS, Docker, CI/CD (GitHub Actions), PostgreSQL, MongoDB, Kubernetes, Supabase, Postman
Multi-agent LLM system for financial planning & analysis using LangChain + TensorFlow + React
Full-stack app for match analysis using React, Node.js, ML models
