I design, build, and deploy machine learning models and integrate them into working applications via clean, production-ready APIs. Whether you need a classifier, a recommendation system, or a custom NLP feature added to your existing product, I handle it from data to deployment.
What I deliver:
- A trained ML model suited to your problem (classification, scoring, text processing, etc.)
- A REST API wrapping the model so your frontend or other services can call it directly
- Dockerized deployment so the model runs reliably anywhere: your server, Hugging Face Spaces, or cloud platform of choice
- Documentation so your team can maintain or extend the system afterward
My approach:
I focus on practical, working systems over academic complexity. I've built and shipped real ML-powered tools, including an AI resume screening system using NLP and scikit-learn and retrieval-based AI chatbots. So I understand the gap between "a model that works in a notebook" and "a model that works reliably in production."
Tech stack: Python, Scikit-learn, spaCy, FastAPI, Docker, Hugging Face, Pandas/NumPy
Ideal for: Startups needing an AI feature added to their product, businesses wanting to automate a manual classification/scoring task, or anyone who has a dataset and a goal but needs it turned into a working tool.
Tell me your data and the problem you're solving, I'll tell you honestly whether ML is the right approach and what it'll take.