About
Final-year Computer Science undergraduate graduating in 2026 with hands-on experience building Python full-stack web applications and enterprise AI systems. Skilled in Django, Django REST Framework, PostgreSQL, and modern AI/LLM tooling including RAG pipelines, LlamaIndex, Ollama, and Qdrant.
Experience
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Data Science TraineeInfineez SolutionsJun 2025 – Aug 2025
Skills
- SQL <3 months
- C <3 months
- Python <3 months
- CSS3 <3 months
- Java <3 months
- JavaScript <3 months
- Django <3 months
- Django Rest Framework <3 months
- ORM <3 months
- API Integration Understanding <3 months
- HTML5 <3 months
- Oracle SQL <3 months
- RAG <3 months
- LLMs <3 months
- JWT Authentication <3 months
- Oop <3 months
- pgAdmin <3 months
- Vector embeddings <3 months
Tools / apps / platforms
- Git <3 months
- GitHub <3 months
- Jupyter Notebook <3 months
- PostgreSQL <3 months
- VS Code <3 months
Projects
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Customer Churn AnalysisPython, SQL, Pandas, Matplotlib
Processed and analyzed 7,000+ customer records using Python and SQL; identified churn patterns and delivered visual summaries via Matplotlib.
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GenYoga — AI-Powered Yoga Recommendation PlatformDjango, PostgreSQL, Python, JavaScript
Developed a full-stack AI-powered platform using Django and PostgreSQL that recommends yoga poses through an NLP-based inference engine analyzing user pain descriptions and session duration. Implemented user authentication, ORM-based relational schema, a dynamic 30-day course module, and responsive frontend with complete frontend-backend integration.
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Enterprise Private AI AssistantDjango, DRF, Ollama, Qdrant, Celery, Redis, LlamaIndex, JWT
Built a privacy-first enterprise AI knowledge assistant with fully local LLM inference using RAG and Ollama (Llama 3) for secure, context-aware conversational document search. Designed a complete backend with DRF, JWT authentication, RBAC, and multi-user document permissions; async ingestion pipeline via Celery + Redis supporting PDF, DOCX, TXT, and CSV formats.