I work at the intersection of supply chain planning, enterprise systems, AI/NLP, and research-driven analytics.
My work focuses on building practical systems, data pipelines, machine learning workflows, and tools that support better planning and decision-making.
- Supply chain planning systems
- Enterprise data workflows
- AI/NLP applications
- RAG-based code assistants
- Research-backed analytics projects
| Organization | Timeline | Focus |
|---|---|---|
| Micron | 2026 | Enterprise planning systems, supply chain IT, planning data |
| Georgia Tech | 2025 - 2026 | Supply Chain Engineering, Physical Internet, logistics analytics |
| Kinaxis | 2023 - 2025 | Planning systems, data integration, validation, reporting |
| AI / NLP Projects | 2025 - 2026 | RAG, NLP, summarization, ML systems |
RAG-based assistant for code understanding, documentation, and repository-aware generation.
Transcript-to-minutes pipeline focused on decisions, action items, and faithful summaries.
Supply chain analytics project using forecasting, machine learning, and inventory decision support.
Research-oriented analytics around logistics networks, freight corridors, and hub design.
Supply Chain Systems: Kinaxis, planning systems, demand planning, supply planning, inventory analytics
Programming: Python, SQL, JavaScript, TypeScript
AI/NLP: LLMs, RAG, embeddings, summarization, classification
Tools: GitHub, FastAPI, ChromaDB, Power BI, Jupyter, Streamlit
Portfolio site coming soon.