🎓 Computer Science undergraduate specializing in Artificial Intelligence & Machine Learning
⚙️ Passionate about building production-grade AI systems, not just notebooks
🧩 Strong focus on backend architecture, ML APIs, and LLM pipelines
I enjoy working on problems where ML meets real-world constraints — data quality, system design, deployment, and explainability.
- Classification, time-series, and signal processing
- TensorFlow / Keras, PyTorch
- Model evaluation, optimization, and deployment
- Document Q&A and compliance assistants
- LangChain + HuggingFace Transformers
- FAISS vector search with metadata-aware retrieval
- Source attribution and audit-safe responses
- FastAPI + Uvicorn
- ML model serving as REST APIs
- File ingestion pipelines & persistent metadata handling
- Modular, scalable backend design
- ECG classification systems (API-based)
- Smart traffic monitoring using computer vision & IoT
- Financial optimization and budgeting models
- YOLO-based vehicle detection and tracking
Languages
Python JavaScript TypeScript
AI / ML
TensorFlow Keras PyTorch Scikit-learn
LangChain HuggingFace Transformers
Backend & Data
FastAPI REST APIs FAISS MongoDB
Frontend & Tools
React Streamlit Git Linux / WSL Google Colab
✔️ Think in systems, not scripts
✔️ Debug deeply instead of applying hacks
✔️ Write clean, explainable, and maintainable code
✔️ Build projects that are interview-ready and industry-aligned
Most of my projects are end-to-end:
Data → Model → API → UI
- Strengthening LLM & RAG architectures
- Learning MLOps & deployment best practices
- Building portfolio-grade AI projects
- Preparing for ML / AI internships & roles
- Exploring AI system reliability and security
💬 Interested in AI, ML, LLMs, or backend systems
🤝 Open to collaboration on meaningful projects
Feel free to explore my repositories or reach out!