
Building intelligent products,
end‑to‑end.
Forward-thinking AI/ML professional building scalable AI-powered solutions, Retrieval-Augmented Generation pipelines, and production-ready intelligent web architectures. Experienced across the MERN stack, deep learning frameworks, NLP, computer vision, and time series forecasting.
A builder at the seam of AI and the web.
Bio
Forward-thinking AI/ML professional building scalable AI-powered solutions, Retrieval-Augmented Generation pipelines, and production-ready intelligent web architectures. Experienced across the MERN stack, deep learning frameworks, NLP, computer vision, and time series forecasting.
I work across the stack — from training and evaluating models to shipping the API, the UI, and the analytics dashboard that explains what the model is doing in production. My recent focus is Retrieval-Augmented Generation, time series forecasting, and elegant MERN front-ends.
Education
- BS Artificial IntelligencePak-Austria Fachhochschule (IAST)2024 – 2028
- FSc Pre-EngineeringFG Public School No. 3 Boys, Wah CanttIntermediate
- Matric — Computer ScienceQuaid-e-Azam Public School & CollegeLalazar, Wah Cantt
Certifications
Internships across AI, automation and analytics.
Research Insights Intern
- Conducted structured research synthesis across consumer and tech verticals.
- Built data-driven insight decks supporting strategic decision making.
Artificial Intelligence Intern
- Implemented end-to-end AI workflows across NLP and predictive modelling.
- Delivered production-quality notebooks with reproducible pipelines.
Python Programming Intern
- Built automation utilities, scrapers, and CLI tools.
- Authored clean, tested Python modules following PEP standards.
AI & ML Intern
- Prototyped ML solutions for time series and classification problems.
- Collaborated on data preprocessing, evaluation, and deployment.
A toolkit tuned for AI products.
JavaScript
TypeScript
SQL
C++
C
R
Machine Learning
Deep Learning
NLP
RAG Systems
CNN / Computer Vision
Time Series Forecasting
TensorFlow
PyTorch
Power BI
Data Analytics
React.js
Node.js
Express.js
MongoDB
Git & GitHub
Vector Databases
Data Preprocessing
MS Office Suite
Python
JavaScript
TypeScript
SQL
C++
C
R
Machine Learning
Deep Learning
NLP
RAG Systems
CNN / Computer Vision
Time Series Forecasting
TensorFlow
PyTorch
Power BI
Data Analytics
React.js
Node.js
Express.js
MongoDB
Git & GitHub
Vector Databases
Data Preprocessing
MS Office Suite
Selected work, stacked in depth.
Engagements I take on.
AI Prototype Sprint
Rapid proof-of-concept for an ML or NLP idea — model, evaluation, and a live demo.
- Problem framing
- Baseline + advanced model
- Notebook + report
- Live demo app
RAG / Chatbot Build
Production RAG assistant over your data with vector DB, evaluation harness, and UI.
- Ingestion pipeline
- Vector store + re-ranking
- Streaming chat UI
- Eval + monitoring
Full Stack MERN App
End-to-end web product with auth, payments, dashboards, and deployment.
- Design + spec
- MERN implementation
- CI/CD + hosting
- 30-day support