Applied Machine Learning
Deep learning, NLP, and computer vision models scoped to a specific decision or workflow — built to be evaluated and maintained, not just demoed.
Machine Learning & AI Engineer
I build ML systems that hold up outside the notebook.
I design, train, and ship applied machine learning — then wire it into products people actually use. My focus is the unglamorous middle: clean data, sound evaluation, and systems that keep working after the demo ends.
About
Models are the easy part. Making them useful is the job.
Who I am
Hello.
I'm a machine learning engineer who cares as much about what happens after deployment as what happens during training.
My work sits at the intersection of applied ML, product engineering, and clear communication — because a model nobody can operate isn't a solution, it's a demo. I spend most of my time on the parts that don't show up in a slide deck: data quality, evaluation design, and the software layer that makes a model something a team can actually rely on.
Most of what I build lives at the edge of data and decision-making — turning raw, messy inputs into signal, and shipping the full path from model to interface. I hold the same bar for a Django backend as I do for a training pipeline: it should be legible to the next person who touches it.
Where I add value
Three ways I work with teams.
Full-Stack Product Engineering
Django and Next.js applications that turn a model into something a team can operate — clean data layers, sane APIs, and interfaces people trust.
EdTech & Applied AI Consulting
Personalized learning systems and direct technical guidance for founders building in AI — from architecture decisions to first working prototype.
Selected work
A few things I've shipped.
EV Data Analysis
Cleaned and modeled a large electric-vehicle usage dataset to surface adoption trends — exploring what the numbers imply about range, charging behavior, and market growth.
Inventory Management System
A Django-based inventory system built around clear data modeling — stock movement, reporting, and the operational reliability a real team depends on.
Music Predictor
A recommendation model that predicts listening preferences from audio and behavioral features — an exercise in how far pattern recognition goes with limited signal.
Personalised Learning Platform
The product core of Learnest — an adaptive learning platform that adjusts pacing and content to how an individual actually learns, not a fixed curriculum.
Technical expertise
The toolkit behind the work.
Languages & Data
Python
SQL
Mathematics & Statistics
Machine Learning & AI
Deep Learning
NLP
Computer Vision
Applied ML Libraries
Web & Systems
Django
Next.js
System Design
Practice
Data Visualization
Product Thinking
Technical Consulting
Experience
Where I've put this to work.
Current
Founder & AI Lead — Learnest
Building AI-driven learning tools and leading strategic technical consulting engagements for early-stage builders, spanning product architecture, model selection, and go-to-market technical decisions.
Ongoing
Independent Machine Learning Engineer
Designing and shipping applied ML and full-stack projects spanning data analysis, recommendation systems, and EdTech product engineering — from raw dataset to deployed interface.
Get in touch