🎓 MS Climate Change & Sustainable Development — SINES, NUST
🎓 BS Electrical Engineering — CEME, NUST
⚡ Product, Growth & Tech Builder
📍 Islamabad, Pakistan
Building agentic AI systems, GenAI applications, and data-driven products that translate complex ideas into scalable, real-world impact.
→ Designing agentic workflows using LangGraph & LangChain
→ Building end-to-end systems from data pipelines → AI reasoning → user-facing apps
→ Applying AI for climate intelligence, Geo-AI, and decision systems
- Designing and deploying Generative AI and agentic workflows
- Building RAG pipelines, vector search, and LLM-based systems
- Developing AI reasoning and decision intelligence platforms
- Applying machine learning for real-world impact systems
- Product strategy, system design, and scalable architecture
- Building full-stack applications with production-grade backends
- Designing modular, maintainable, and extensible systems
- Rapid prototyping with a product-first mindset
- Environmental and climate data modeling
- Geo-AI and spatial intelligence systems
- Data-driven approaches to sustainability and resilience
A structured AI system built using LangGraph workflows for multi-step reasoning and decision-making.
A scalable content generation system leveraging LLMs, structured prompting, and automation pipelines.
An end-to-end pipeline for collecting, processing, and analyzing environmental datasets.
Languages
Python • JavaScript • TypeScript
AI & Data Systems
Pandas • NumPy • Scikit-learn • Streamlit
RAG Pipelines • Vector Databases • LLM Workflows
Backend & APIs
FastAPI • Django • Node.js
Frontend
React • TailwindCSS
Databases & Storage
PostgreSQL • MongoDB • SQLite • Supabase
DevOps & Platforms
Docker • Git • Linux • Vercel
Building at the intersection of AI, climate, and scalable systems.
Open to collaborations in Agentic AI, Climate Tech, and Geo-AI research.