Machine Learning Engineer & Data Scientist. Advanced user of the Python libraries for data processing, predictive models, and visualization. AWS ML Specialty Certified. Passionate about elegant code, automation, and model explainability. And recently (past year), most interested and active in NLP and LLM applications, especially:
* custom document parsing/informatoin extraction,
* neural/hybrid search and
* Retrieval Augmented Generation (RAG) systems (e.g. chatbots informed by neural/hybrid search to reduce hallucination) on custom/private document sets.
Highly adept at optimizing speed/performance of python data science workloads via just-in-time compilation strategies (numba, pypy, or even sometimes a rewrite in Julia), or horizontal scaling to distributed compute on cloud infrastructure. Though honestly that step is needed less frequently than most clients seem to expect; usually optimizing for code clarity, safety, and development iteration speed proves more valuable in my experience.
Look forward to hearing from you if you have something that I'd find interesting and fun to work on.