Starting Environmental Science at DePaul in September, I'm building at the intersection of climate, AI, and software. I've already shipped production platforms. Now I'm pointing them at problems that matter.
About
Three live platforms, a pending co-authorship alongside PhD researchers, and an IATA DGR certification earned with Distinction among industry professionals. In September I'm starting Environmental Science at DePaul University with a CS minor, because the problems I actually care about sit at the edge of climate, computation, and field science. Everything I've built so far has been practice for that.
Every project here was built solo, from database design to deployment. Real clients, real users, real constraints. The football analytics work is where AI and field observation meet most directly for me — that's the direction everything is heading.
AI-powered football analytics SaaS. Custom YOLOv8 model, LLM scout reports, 3-tier subscription serving players, parents, and academies in Pakistan.
Freight forwarding operations platform. Role-based dashboards, automated task engine, AviationStack flight tracking, and team management for a Pakistani logistics company.
Custom e-commerce for a limited-drop streetwear brand. Admin panel, drag-to-reorder images, email-based ordering, HEIC conversion, $0/month hosting.
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CO₂ adsorption simulation — eggshell adsorbent surface
Independent Research
COMSATS University Biomass Research Group · Lahore · 2024–Present
Self-directed research on converting agricultural waste to methanol through gasification and catalytic synthesis. Focused on feedstock selection and yield optimization for decarbonizing farming in developing economies. Full write-up available.
Worked in the lab alongside Masters and PhD researchers at COMSATS on experiments and data analysis. We examined calcium-rich eggshell adsorbents as a low-cost medium for capturing CO₂ in municipal solid waste gasification. Paper pending publication.
View Methanol Research →I build software tools for hard, physical-world problems. Here's the technical range behind that.
Custom YOLOv8 training, TensorFlow, OpenCV pipelines, LLM integration (GPT-4o, Gemini), Roboflow annotation, Google Colab GPU training, event detection engines, multi-object tracking.
HTML, CSS, JavaScript (vanilla), Supabase, PostgreSQL, Row Level Security, Edge Functions, REST APIs, Vercel deployment, PWA, responsive design, SVG animation.
Lab techniques, data collection, academic literature review, scientific writing — tested alongside PhD candidates. Co-author on pending publication.
3-tier SaaS pricing, admin panels for non-technical users, client self-service, real business understanding from family logistics background, $0/month hosting solutions.
Git/GitHub, Vercel hosting, cPanel, environment variables, domain configuration, PWA with service workers, production deployment workflow.
IATA DGR Category 7.3 — Distinction. Hazmat classification, air freight documentation, international safety regulations. Domain knowledge for freight tech.
Open to opportunities
I'm looking for research roles, climate-tech projects, or collaborations that connect software to environmental problems. I can ship production code, run AI pipelines, and work in a lab. If any of that is useful to you, reach out.