Full-stack applications. Intelligent ML pipelines. Computer vision systems. From architecture to deployment — I build things that work beautifully.
I'm a final-year Software Engineering student at UMT Lahore (BS Software Engineering, graduating Jun 2026) with one clear focus: building things that actually work in production. Not academic exercises — real systems for real clients with real deadlines.
Over the past two years, I've independently shipped six freelance web applications, led a multi-backend recruitment platform as system architect, delivered computer vision solutions to four paying clients, and built an AI-powered dermatology platform that achieves over 90% classification accuracy.
I bring frontend precision, backend depth, and applied ML expertise — equally comfortable with React & TypeScript, Django, Spring Boot, Node.js, or Flask. Based in Lahore, Pakistan. Available for freelance work worldwide.
Complete web applications from the ground up — React frontends, backend APIs, authentication, payments, and database architecture. E-commerce, SaaS dashboards, logistics, CMS.
End-to-end ML pipelines — data preprocessing, feature engineering, model training, evaluation, and production integration. Classical ML, deep learning, NLP, and LLM API integration.
Vision systems that detect, segment, and classify — CNN classifiers at 92%+ accuracy, YOLOv8 real-time detection with ONNX export. Medical imaging, quality inspection, pose recognition.
Click any card to see proficiency levels + related projects.
Each project solved a real problem for a real client or stakeholder.
Production-grade AI platform. 5-stage vision pipeline, 90%+ accuracy. React + Django + MySQL.
Led architecture across Spring Boot, Node.js, Flask — single React/TS frontend.
Amazon SP-API catalog automation + ML-powered Olympic medal prediction platform.
YOLOv8, CNNs, MediaPipe delivered across 4+ client engagements. 92%+ accuracy.
Relevant coursework: Software Architecture, AI & ML, Web Engineering, Database Systems, SPM, SQE.
“Ali delivered our Amazon catalog system ahead of schedule. The SP-API integration was flawless and the automation reduced our team's manual workload by 70%. Communication was clear throughout. Highly recommended.”
“Outstanding computer vision work. The YOLOv8 detection model Ali built runs in real-time with impressive accuracy, and the ONNX export made deployment into our production pipeline seamless.”
“Ali built our e-commerce platform with Stripe and real-time notifications. The code quality was production-grade from day one. Clean architecture, well-documented, easy to maintain. Will definitely hire again.”