🎯 Data Scientist & Machine Learning Engineer passionate about building intelligent systems using Machine Learning, NLP, Generative AI, and Data Analytics.
I enjoy developing:
- 🤖 LLM-powered applications
- 📊 Data-driven solutions
- 🔍 Retrieval-Augmented Generation (RAG) systems
- ⚡ Fast & scalable AI APIs
- 📈 Insightful dashboards and analytics platforms
Currently focused on:
- Generative AI & LLM Evaluation
- RAG pipelines with LangChain & Vector Databases
- AI Observability & Hallucination Detection
- Full-stack AI applications using React + FastAPI
📍 Bangalore, India 📅 2024 – 2025
- Built a RAG-based knowledge retrieval system using LangChain + pgvector for querying equipment logs & SOPs.
- Developed anomaly detection pipelines using time-series data from BMS/SCADA systems.
- Worked on LLM evaluation frameworks using RAGAS metrics to improve AI response reliability.
- Processed & analyzed data from 50+ industrial systems to improve operational troubleshooting efficiency.
- Recognized as “Performer of the Month” 🏆 multiple times for project delivery.
LLM Evaluation • RAG • FAISS • FastAPI • Streamlit
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Built a multi-stage hallucination detection pipeline using:
- Claim extraction
- Web evidence retrieval
- Semantic similarity scoring
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Integrated Google Gemini API + FAISS vector search
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Achieved ~87% hallucination detection accuracy
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Developed real-time observability dashboard using Streamlit
CTGAN • FastAPI • Data Validation • TypeScript
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Built privacy-preserving synthetic data generation pipeline
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Implemented automated statistical validation using:
- KS-Test
- TVD Metrics
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Achieved >90% distribution similarity
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Reduced dataset preparation effort by ~60%
NLP • SQL • FastAPI • React • LLMs
- Developed AI system converting natural language into SQL queries
- Combined rule-based + NLP-based query parsing
- Designed modular architecture for future LLM integration
- Focused on improving query accuracy & ambiguity reduction
Machine Learning • Django • Recommendation System
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Predicts diseases from symptoms using ML models
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Suggests:
- Preventive measures
- Diet plans
- Workouts
- Medication guidance
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Built as an end-to-end AI healthcare assistant
Scikit-Learn • XGBoost • Deep Learning • NLP • Transformers
- LangChain
- RAG Pipelines
- Prompt Engineering
- Hugging Face Transformers
- FAISS
- Vector Databases
- LLM Evaluation (RAGAS)
- Semantic Similarity Scoring
- Power BI
- Tableau
- Matplotlib
- Plotly
- Excel
- Advanced RAG Architectures
- AI Agents & Multi-Agent Systems
- LLM Fine-Tuning
- MLOps & AI Deployment
- Real-time AI Monitoring Systems
- Low-latency AI APIs
- 🥇 Performer of the Month — CIPLA Ltd
- 🧠 Built multiple end-to-end AI systems
- 📚 Specializing in Generative AI & LLM Systems
- 🚀 Active contributor to personal AI projects
“AI is not just about models — it’s about building systems that people can trust, scale, and benefit from.”
⭐ If you like my work, consider starring my repositories!