I am a Data Scientist with 2+ years of professional experience building scalable AI solutions. Currently pursuing my M.S. in Data Science at Indiana University Bloomington, I specialize in Multi-Agent Systems, RAG (Retrieval-Augmented Generation), and Graph Databases.
My work bridges the gap between raw data and actionable intelligence, moving beyond simple models to build autonomous, reasoning systems.
Won 2nd Place at the 2025 InnoQuest Competition (Indiana University)
IntelliVine is a Multi-Agent System designed for intelligent project knowledge retrieval. It solves the "information silo" problem in complex project management by synthesizing fragmented data into clear answers.
- Core Tech: Vector Search + Graph Databases + LLM Synthesis.
- Architecture: Autonomous agents that retrieve, reason, and synthesize project data.
- Impact: Recognized for commercial viability and technical complexity among 18+ innovation teams.
Data Scientist @ High Peak Software (2022 - 2024)
- Delivered end-to-end Machine Learning pipelines for production environments.
- Specialized in NLP and Computer Vision solutions, optimizing data extraction workflows and reducing manual processing time.
- Collaborated with cross-functional teams to deploy scalable models for Fintech and Healthtech clients.
| Domain | Technologies |
|---|---|
| AI & LLMs | Multi-Agent Systems, LangChain, RAG Pipelines, Vector Databases (Pinecone/Milvus) |
| Data Science | Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch |
| Backend & Graph | Neo4j (Graph DB), API Development, Docker |
| Tools | Git, AWS, Jupyter, Linux |
| Project | Description | Tech |
|---|---|---|
| 🧠 IntelliVine (KnowLot) | [Award Winning] Multi-agent system for project knowledge retrieval. | GraphDB LLMs Vector Search |
| 📊 Data Science Jobs Dashboard | A web app that analyzes and visualizes the AI and data science job market using relational and graph-based skill modeling. | Python EDA Modeling SQL Neo4j |
