AI Engineer at ParityCube with 4 years of experience designing and shipping production-grade AI systems. I build systems that reason, plan, and act — not just chat.
- Shipped a self-learning RAG classifier (Qdrant + OpenAI embeddings) currently in production
- Built MetabaseQueryBot — an autonomous LangGraph agent achieving 80% data validation accuracy
- Deployed an AWS Fraud Detector ML pipeline that reduced fraud by 80% and manual review by 90%
- Built an MCP server enabling plain-English access to campaign data — zero SQL required
- 6.8M+ transactions processed through my data pipelines daily
AI and LLM
Data and Analytics
| Project | Description | Stack |
|---|---|---|
| Resume ATS Agent | Multi-agent system — 4 CrewAI agents rewrite and score resumes for ATS | CrewAI, GPT-4o-mini, Streamlit |
| Medicare AI Assistant | RAG chatbot for medical PDFs using vector search | LangChain, FAISS, Streamlit |
| Resume AI Analyzer | AI resume analyzer with instant structured feedback | Groq, LLaMA-3.3-70b, Streamlit |
| Retail Data Pipeline | End-to-end pipeline: S3 to Snowflake to Power BI | Python, Snowflake, Power BI |
Open to AI Engineer, Data Analyst, and ML Engineer roles at MNCs in Mumbai.