About Me
Building computer vision, biometrics and LLM-powered applications that work beyond the notebook.
My Mission & Focus
I'm an AI engineer who loves turning messy data into systems that actually work. My journey started with a Bachelor's degree in Computer Software Engineering, where I got a solid grounding in software architecture, backend web development and machine learning.
After that, I spent two years at IR Solutions in Islamabad, working on machine learning and deep learning projects. I preprocessed data and trained models for many different kinds of problems, and that's where I learned how much of AI is careful, hands-on engineering.
Today I'm in the final year (M2) of my Master's in Biometrics and Intelligent Vision at Université Paris-Est Créteil France, after finishing my M1 with honors (14.50/20). My work here spans Deep Learning, Image Processing, Computer Vision, Biometrics, Software Integration and LLM-powered systems.
Right now I'm going deeper into these fields and exploring Agentic AI. I'm looking for an end-of-degree internship where I can build real-world AI solutions and keep learning from a great team.
How I Work
From raw data to a working application, step by step.
Understand the Problem
Start from what the product or user actually needs, then turn it into a clear task, measurable metrics and a realistic scope.
Prepare the Data
Clean, preprocess and structure the data, with proper train/validation splits so the results can be trusted.
Choose & Train the Model
Pick the right tool for the job, from classic computer vision and CNNs to pretrained vision models and LLMs, then train, evaluate and iterate.
Evaluate Honestly
Test with the right metrics, such as error rates and threshold calibration for biometrics, and check where the model fails, not just where it works.
Build the Backend
Wrap the model in a FastAPI or Flask service with a simple interface, so it works as a real application and not only as a notebook.
Ship, Learn, Improve
Deploy, gather feedback, and keep improving the system step by step.
Skills & Tech Stack
The technologies I've worked with so far, and the ones I'm still learning.
Computer Vision & Biometrics
Real-time perception, facial biometrics, gesture recognition, and visual analytics.
Deep Learning & LLMs
Neural network design, multimodal foundation models, and generative AI systems.
MLOps & Backend Engineering
Production inference engines, containerized microservices, and acceleration.
Data, Databases & Cloud
Scalable data storage, vector databases, and cloud infrastructure.
Work Experience
Two years in industry, now deepening my skills with a Master's in Biometrics & Intelligent Vision.
AI Engineer
Developed machine learning and deep learning solutions across different areas of AI, and integrated them into software applications.
Machine Learning Engineer Intern
Worked on machine learning tasks and built backend APIs to make models usable in real applications.
Education
Where I learned to build software, and where I'm learning to make it intelligent.
Master's Degree in Biometrics and Intelligent Vision
Specialized in machine learning, deep learning,computer vision, biometrics and image processing, with a focus on software integration and LLM-powered systems.
Core Coursework
Bachelor of Science in Computer Software Engineering
Strong foundation in computer science and software engineering: algorithms, data structures, mathematics, databases, networks, web development and software architecture.
Core Coursework
Looking for an AI Engineer for your team?
Open to full-time jobs and internships in AI and computer vision.