I build practical AI systems, agentic workflows, and data-driven solutions that developers and teams can use right away.
My work spans Data Science, Statistical Computing, Generative AI, ML/DL, and hands-on engineering — from building multi-agent LangGraph apps to deploying production-grade forecasting, NLP, and predictive models.
I also teach through webinars, courses, and YouTube content, simplifying ML/LLMs for beginners and practitioners.
- 🧠 AI Agents & Automation — orchestrators, tool-calling agents, LangGraph pipelines, local + cloud LLM agent apps
- 🔍 Search & RAG Systems — embeddings, hybrid search, ChromaDB, document intelligence
- 📦 Ready-to-run Projects — clone → install → run examples for agents, RAG, phishing detection, and data apps
- 🧪 Fine-Tuning Experiments — DistilBERT, MiniLM, TinyLlama, T5, ELECTRA, URLNet
- ⚙️ MLOps & Engineering — W&B, PyTorch Lightning, FastAPI, Streamlit
- 💬 Teaching & Webinars — ML/AI foundations, agentic workflows, hands-on demos
- 📊 ML & Deep Learning — production-ready models for business applications
- 🔍 Statistical Computing — advanced statistical modeling & pattern discovery
- 🧠 NLP for Business Use-Cases — classification, extraction, summarization
- 🛠️ End-to-End ML Pipelines — preprocessing → training → evaluation → deployment
- 📈 Predictive Analytics — forecasting, scoring systems, classification pipelines
- 🎯 Real-World Problem Solving — turning research & models into business value
- 🎓 MSc in Statistical Computing from IIIT Bangalore — strong grounding in stats + computation
- 💼 Data Scientist at Genpact — solving complex business challenges with Agentic AI
- 🧩 Currently building: multi-agent AI apps, phishing detection model zoo, RAG apps, and analytics tools
- 🔭 Always exploring new realms of ML, LLMs, agents, statistical modeling, and data engineering
- 💡 Open to collaborating on NLP, ML, DL, and business-focused AI projects
