AI & Data Engineering Specialist with 2+ years of experience architecting scalable data pipelines, building production-grade ML/Deep Learning models, and deploying LLM-powered AI Agents. I made an unconventional leap from Mechanical Engineering → Computer Science, inspired by the ChatGPT revolution — and never looked back.
- 🎓 M.S. Applied Computer Science — Grand Valley State University, Michigan (Expected May 2026) · GPA: 3.76
- 🏭 B.Tech Mechanical Engineering — Sri Venkateswara University, India · GPA: 3.54
- 🌍 Domain experience: Finance · Retail · Healthcare · Agriculture
| Project | Description | Stack |
|---|---|---|
| Blog-Generation-Agent | Multi-language SEO blog generation agent with 7-node LangGraph pipeline and 5 translation paths | LangGraph · OpenAI · Groq · FastAPI · LangSmith |
| Ecommerce-Chatbot | Multi-intent chatbot with semantic routing, vector FAQ retrieval, and NLP-to-SQL over 900+ products | Groq LLM · ChromaDB · Streamlit · SQLite |
| Car-Damage-Detection | Fine-tuned ResNet50 for 6-class car damage classification at 80% accuracy, deployed full-stack on AWS EC2 | PyTorch · FastAPI · Docker · React · AWS EC2 |
| Diabetes-Risk-Analysis | 3-stage ELT pipeline automating processing of 400K+ public health records with Power BI dashboards | Azure Databricks · Azure Data Factory · Power BI |
| Microsoft-Fabric-Projects | End-to-end COVID-19 data pipeline: ingest → Lakehouse → semantic model → BI dashboards | Microsoft Fabric · Dataflow Gen2 · Power BI |
| Bing-News-Analytics | REST ingestion → PySpark transforms → ML sentiment → real-time BI | PySpark · Azure · Power BI |
| Crop-Disease-Management | Relational DB backend with alerts, recommendations, and yield tracking | MySQL · Stored Procedures |
- 🏆 Finalist — Grand Rapids DeepTech Pitch Competition (presented AI/ML solution to investors)
- 🥇 Best Innovation Award — outstanding technology contribution
