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I believe technology should serve people, not the other way
around. It should meet them wherever they are, not where we think
they should be.
That belief is what drives everything I
build. Sign language AI that bridges communication gaps. Cancer
treatment models that help doctors make better decisions for their
patients. Tools that make engineers' lives easier so they can focus
on what actually matters.
I've shipped at
Deloitte, scaled systems for
47 million users, and I'm currently finishing an
MSc in AI with Distinction at Aston. But honestly,
none of that means anything to me if the work doesn't move the
needle for real people.
I'm not chasing titles. I'm
chasing impact. And I'm just getting started.
Every element in my periodic table of skills.
Every project is a controlled demolition of expectations.
A sign-to-text pipeline using VideoMAE for spatiotemporal feature extraction with a bi-directional 3D avatar for real-time sign language translation.
An industrial AR/VR assistant providing real-time adaptive feedback using Mixed Reality, Computer Vision, and VLMs to detect engineering workflows live.
Predicting optimal adenocarcinoma treatment methods and clinical benefit using ML models to help doctors make life-saving decisions faster.
Automated web scraper that surfaces scholarship opportunities from social media, making education funding accessible to those who need it most.
An AI companion that helps you get through tough times, offering comfort and wisdom entirely in Pidgin English. Because healing should feel like home.
Microservices farm management platform with ML yield prediction. 80% time-savings for farmers.
Mood-based scripture recommendations. Tell it how you feel, get the word you need.
QR code payment system simulation. Scan, pay, done.
A website to ask your girlfriend to be your valentine. She said yes btw.
Generate optimized image collages for Twitter's 4-image layout. Pixel-perfect every time.
Engineering "Jarvis for Engineers" with Mixed Reality and Computer Vision. Built end-to-end VLM inference pipelines. Reduced hallucination by ~15%. Immersive 3D interfaces via Babylon.js.
Developer adoption for a 47M-user crypto network. Pi SDK integration strategy. Ecosystem stability during 200%+ growth at mainnet launch.
RLHF on enterprise-grade LLMs. Debugging AI-generated code for compilation accuracy and PEP-8 standards.
Data analysis tools — 40% faster than manual workflows. Asset management automation saving ~15 hours/week. 90% resolution rate as tech support expert.
RESTful APIs for client portals. JWT auth flows in Agile team of 20+. Improved login speed and reduced bounce rates.
Currently open to new opportunities. If you need a fearless engineer who builds things that matter, let's talk.