I build applied ML and LLM systems end to end: problem framing, retrieval pipelines, classical ML, evaluation, and deployment. The focus is models that ship with tests and CI gates, not notebooks that stall.
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Recent upstream contributions to projects I use.
| Status | Project | Contribution |
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wemake-services/django-modern-rest (1.3k stars) | Renamed the default OpenAPI title and documented OpenAPIConfig fields |
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nesquena/hermes-webui (15k stars) | Quickstart clarification: the WebUI runs the agent in-process |
More in flight. I aim for a couple of focused open source sessions every week.
MS in Data Science & Business Analytics, UNC Charlotte (Aug 2024 to May 2026)
Applied work across LLM systems, machine learning, BI, decision modeling, and project practicum.
Relevant coursework: Applications of Large Language Models · Applied Machine Learning · Database Systems for Data Scientists · Business Intelligence and Analytics · Visual Analytics and Storytelling · Data Mining · Decision Modeling and Analysis · Advanced Business Analytics · Strategic Business Analytics · Supply Chain Management · DSBA Project Practicum.
- Contributing upstream to DS and ML tooling I use, a couple of sessions each week.
- Polishing
policy-rag-assistantandbowtie-risk-analytics-oilgastoward recruiter-grade documentation, evaluation, and deployment. - Open to full time roles in Data Science, ML Engineering, Applied AI, Analytics Engineering, and BI.
Built in the open.