I am a backend-focused engineer with hands-on experience in Scalable backend systems,machine Learning and GenAI applications. My projects demonstrate real-world system design, data-driven decision making, and production-grade backend engineering.
Tech: Python (Django), Django REST Framework, PostgreSQL, Redis (queue), Celery (async tasks)
🔗 Repository: Link
Tech: Python (Django), PostgreSQL, Redis (queue), Celery (async tasks)
🔗 Repository: Link
Tech: Django, Redis, System Design
🔗 Repository: Link
Tech: Django, REST APIs, SQL, Authentication, RBAC
🔗 Repository: Link
Tech: Python, XGBoost, Scikit-learn, MLflow, FastAPI, Streamlit, Docker
🔗 Repository: Link
Tech: Python, Pandas, Scikit-Learn, Streamlit
🔗 Repository: Link
Tech: LLMs, Embeddings, Vector Search, Python
🔗 Repository: Link
- Backend Development: Django, REST APIs, Redis, SQL
- System Design: Rate limiting, abuse detection, scalability patterns
- Data Science: EDA, ML pipelines, predictive modeling
- GenAI: LLMs, embeddings, vector databases, RAG
- Engineering Practices: Clean architecture, modular design, production thinking
✔ Real-world problem statements ✔ Backend-heavy, scalable systems ✔ ML + GenAI with practical business use cases ✔ Clean, readable, recruiter-friendly structure