My career didn't begin in tech.
It began underground.
My foundation lies in interpreting the subsurface — 3D seismic surveys, geological models, wellbore data. I earned a BSc in Geophysics from Bahria University (3.55/4.00 CGPA) and placed 3rd in the Imperial Barrel Awards, Asia Pacific — one of the most competitive geoscience competitions organized by the AAPG, competing against teams from across the region.
I then moved to Berlin for an MSc in Global Change Geography at Humboldt University, where my focus shifted from subsurface to atmosphere — climate data, earth observation satellites, and computational modelling. When existing tools proved inadequate for the research questions I was asking, I taught myself to build them.
Today, my fieldwork is computational. I build LLM-powered systems and agentic architectures that crawl, extract, and adapt to complex environmental datasets — from real-time disaster APIs to satellite imagery. The geoscience training never left; it evolved into a different kind of excavation.
Technical Stack
Languages & Web
- Python 3.x
- TypeScript / Node.js
- Express.js
- HTML / CSS
- R (RStudio)
AI & Automation
- Agentic Systems (LLMs)
- Open WebUI
- Headless Web Scraping
- Telegram Bots
- Process Automation
Data & GeoScience
- 3D Geomodelling (Petrel)
- Spatial Analysis (QGIS)
- Climate Data Analytics
- Real-time APIs (FIRMS, USGS)
- Pandas / NumPy
Infrastructure
- Server-Sent Events (SSE)
- REST API Architecture
- Hugging Face Spaces
- Docker / Appwrite
- Git / PowerShell

