Hello
Data Scientist | AI/ML Developer | IT Undergraduate
I build AI/ML systems from data to deployment.
I architect it, train it, deploy it, then iterate.
About
Turning data into decisions.
Data Scientist and AI/ML Developer pursuing a BS in Information Technology at the University of Sindh. Skilled in Machine Learning, Deep Learning, Data Analysis, and Python development, with hands-on experience building predictive models, neural networks, and interactive data applications.
Passionate about leveraging data-driven technologies to solve real-world problems — from crop disease detection to pneumonia detection from chest X-rays — and continuously expanding expertise through practical projects and professional certifications.
7
Projects Shipped
10
Certifications
4
Live Deployments
Education
2025 – 2029
BS in Information Technology
University of Sindh, Jamshoro
2022 – 2024
FSc. Pre-Engineering
Federal Govt. Degree College, Hyd Cantt
Languages
English
Professional Working Proficiency
Urdu
Native
Certifications
Google AI Professional Certificate
Google — via Coursera
Sep 2026
Claude 101
Anthropic
Jul 2026
Artificial Intelligence & Data Science
Saylani Mass IT Training
May 2026
Introduction to Modern AI
Cisco Networking Academy (NetAcad)
Mar 2026
Certified Java Developer
People's IT Training Programme (PITP) — MUET
Feb 2026
Academic Excellence Award — Java Development
People's IT Training Programme (PITP)
Feb 2026
Certified Web Developer
People's IT Training Programme (PITP) — MUET
Jan 2025
Additional
Areas of Interest
Stack
Core
ML
Deep Learning
NLP / LLM
Computer Vision
Deployment
Selected Works
Projects I've designed, built, and shipped — not just mocked up.
The Archive
What's above is just a selection. The full index holds every project I've designed, built, and shipped.
4 more projects in the archive. Every line considered. Every build, shipped.
See all 7 projects→How I work
Understand the problem.
Before I touch data, I work out who it’s for and what done actually means. Half the job is asking sharper questions than the brief did.
Explore the data.
I dig into the data to find patterns, anomalies, and the signal worth keeping. EDA is where the real story hides before any model is built.
Prototype fast.
I build quick end-to-end baselines while the iteration cost is low. If the prototype doesn’t hold up on real inputs, it won’t hold up when deployed.
Train it for real.
This is where I’m strongest. Clean architectures, tuned hyperparameters, validated pipelines, and metrics that actually measure real-world success.
Ship & improve.
The last 10% is what users feel: graceful failure handling, thorough evaluation, and the edge case I catch before it catches me in production.
Contact
Start a conversation.
Whether it's a project, collaboration, or just saying hello — I'll get back to you as soon as I can.