🎓 Computer Science undergraduate (Data Science) at VIT Chennai
💡 Interested in Machine Learning, Generative AI, and Backend Systems
☁️ Experience with AWS (EC2, S3, Lambda)
- Built a semantic search system using Sentence-Transformers and FAISS
- Implemented Gaussian Mixture Models (GMM) for probabilistic clustering
- Designed a custom LRU cache with cluster-based routing
- Achieved >50% cache hit rate and ~80% latency reduction
- Monitors Gmail accounts and sends instant Telegram alerts for important emails
- Integrated Gmail API with OAuth 2.0 and Supabase (RLS enabled)
- Built ML-based email classification with fallback rules
- Automated email fetching using cron jobs
- Flask-based app to generate emails using prompts and recipient inputs
- Integrated Google Gemini with LangChain
- Implemented RAG with FAISS for context-aware responses
- Deployed on AWS EC2
- Languages: Python, SQL, C++, Java
- ML & Data: Pandas, NumPy, Scikit-learn
- Web & Backend: Flask, FastAPI
- AI/LLMs: LangChain, FAISS, Sentence-Transformers, Gemini
- Cloud: AWS (EC2, S3, Lambda, DynamoDB)
- LinkedIn: https://www.linkedin.com/in/kotha-srivibhu/
- GitHub: https://github.com/KOTHA-SRIVIBHU
⭐ Always open to learning, collaborating, and building real-world AI systems
