I build data and AI systems that turn messy operational data into reliable decisions.
Recently graduated with an M.S. in Management Information Systems from Texas A&M University, I work across data engineering, analytics, applied AI, and product-focused problem solving. My work usually sits where pipelines, models, dashboards, and real users meet: automating manual workflows, building decision-support tools, and shipping AI-enabled applications that people can actually use.
Portfolio | LinkedIn | Medium | Email
- Data engineering systems with Python, SQL, cloud workflows, validation, and observability
- Applied AI products using LLMs, retrieval, agents, multimodal input, and safe automation
- Analytics platforms that support forecasting, ROI analysis, KPI design, and stakeholder decisions
- Product and business workflows that translate ambiguous needs into scoped, shipped systems
| Project | What it does | Stack |
|---|---|---|
| Sous - Personal Chef AI | Agentic personal chef that suggests recipes from leftovers, searches the web with Tavily, understands fridge photos, and keeps conversational memory. Live app | Python, Streamlit, LangChain, LangGraph, Gemini, Groq, Tavily |
| Mays Analytics Platform | Admissions and marketing analytics platform across 7 graduate programs, with forecasting, ROI analysis, and a Gemini + ChromaDB SQL assistant. Live app | Python, SQL, Streamlit, SQLite, Prophet, ARIMA, Gemini, ChromaDB |
| AI-Powered Regulatory Document Classifier | First-place TAMU Datathon system for classifying 100+ regulatory documents with dual-LLM verification, PII detection, citations, and human review. | Python, Claude, Gemini, FastAPI, OCR, NLP |
| 5G Network Intelligence Simulation | Live demo explaining human-approved telecom automation across signal intake, diagnosis, planning, approval, and governed execution. Live demo | JavaScript, Vercel, 5G simulation, agentic orchestration |
| CoverCraft | Chrome extension that reads job postings, researches companies, and generates tailored cover letters using an LLM. | JavaScript, Manifest V3, OpenRouter, Tavily, PDF generation |
- Built Python ETL and analytics workflows for 2,173+ admissions records and 585+ marketing spend records, reducing manual reporting by about 95%.
- Automated Texas A&M energy operations workflows handling 50,000+ daily energy, weather, ERCOT pricing, and sensor records.
- Consolidated operational data into SQL Server and Power BI-ready models, replacing 15+ manual Excel reports and improving query time from minutes to under 2 seconds.
- Migrated and standardized 7 enterprise data sources into a GCP pipeline at TCS, improving match rate by 45% and cutting lookup time by 93%.
- Helped launch BlackTieCars' digital booking platform, supporting $10K+ revenue and 3x growth in three months.
- Introduction to LangChain, LangChain Academy
- Professional Scrum Master I, Scrum.org
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Administrator Associate
- Microsoft Certified: Azure AI Fundamentals
- Microsoft Certified: Azure Data Fundamentals
- Microsoft Certified: Azure Fundamentals
I'm seeking full-time roles in data engineering, analytics engineering, applied AI, product analytics, or technical business analysis. I am strongest in roles where I can combine hands-on technical delivery with stakeholder-facing problem solving.
If you are building reliable data platforms, applied AI tools, or analytics systems that need to move from prototype to real usage, I would be glad to connect.