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About Me

AI/ML Engineer building machine learning systems across Computer Vision, NLP, and Geospatial AI. Open to full-time AI/ML roles.

How I got here

I got into AI through an unusual path: geography. During my Bachelor's in GIS at Punjab University, I spent a lot of time working with satellite imagery and spatial data. At some point I realized the most interesting problems I was solving all came down to building better models, so I leaned into that. Now I'm doing my Master's in AI Engineering at COMSATS University, Islamabad.

Alongside my studies, I work as a Junior AI Developer at Cointegration, where I build production ML models and multi-agent systems with LangChain, AutoGen, and the Model Context Protocol. On the side, I take on freelance projects. One example is WaterTrace, where I used 22 years of satellite data to predict groundwater levels across 145 districts in Pakistan. I like working across the full stack, from training models in PyTorch to deploying them behind Flask APIs with React frontends.

I'm also going through AI training programs at Samsung Innovation Campus and AISkill Bridge to fill gaps in my deep learning knowledge. I'm open to full-time AI/ML roles where I can work on real ML problems with a strong engineering team and learn from experienced people.

What I work with

  • Machine Learning & Deep Learning (PyTorch, TensorFlow)
  • Computer Vision & Image Processing
  • Natural Language Processing (NLP)
  • MLOps & Model Deployment
  • Geospatial AI & Remote Sensing
  • Multi-Agent AI Systems (LangChain, AutoGen, CrewAI)
  • Python Programming & Data Engineering
  • Full Stack Development (React, Next.js, FastAPI)
Tayyab Manan - AI/ML Engineer specializing in Computer Vision, NLP, and Geospatial AI

Islamabad, Pakistan

Available for remote work

Education

Masters in Artificial Intelligence Engineering

2027 (Expected)

COMSATS Islamabad

Graduate student specializing in computer vision, deep learning architectures, and practical AI system deployment.

Bachelor of Science in Geographic Information Science

2025

University of the Punjab, Lahore

Built quantitative skills in remote sensing, spatial statistics, and Python, turning satellite data into ML-ready datasets and models.

Experience

Junior AI Developer

Jan 2025 - Present

Cointegration

Build production ML models and multi-agent workflows with LangChain, AutoGen, and the Model Context Protocol. Shipped 5+ production models, reduced processing time by 40%, and automated workflows saving 15+ hours/week.

Projects & Research

2023 - Present

WaterTrace & University Coursework

Built WaterTrace, an ML groundwater prediction system on 22 years of satellite data (R²=0.89), deployed full-stack with React and Flask. Alongside my coursework I keep building computer vision, NLP, and geospatial projects with PyTorch and TensorFlow.

Certifications

  • Registered Scrum Basics

    Scrum Inc.

    Mar 2026

  • Artificial Intelligence Training (Machine Learning and Deep Learning)

    AISkill Bridge

    Feb 2026

  • AI Training

    Samsung Innovation Campus

    Jan 2026

  • Exploring AI-Based Research Tools

    GIS Center, Punjab University

    May 2024

  • Mar 2024

  • Nov 2023

  • Jun 2023

Frequently Asked Questions

What’s your background?

I started in Geographic Information Science at the University of the Punjab, working with satellite imagery and spatial data, and moved into machine learning from there. I’m now doing an MS in AI Engineering at COMSATS University, Islamabad, alongside certifications from ESRI and the Samsung Innovation Campus.

Where do you work?

I’m a Junior AI Developer at Cointegration, where I build production ML models and multi-agent workflows with LangChain, AutoGen, and the Model Context Protocol.

Have you shipped production ML systems?

Yes. Six of my projects are deployed with live demos and public repos, including WaterTrace (R²=0.89 across 145 districts), an Urdu LLM fine-tune (79.5% win rate), and face-expression detection (80% on RAF-DB).

Let's Work Together

I'm always up for new opportunities, collaborating on ML projects, or just trading notes on machine learning, computer vision, and MLOps.

Get in Touch