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Machine Learning Engineer with 7+ years in Computer Vision & NLP
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Assessing your cultural and operational fit
Machine Learning Engineer with 4+ years of experience building and deploying AI solutions in Computer Vision and NLP. Skilled in developing production-grade ML systems using AWS, Docker, and scalable REST APIs. Experienced in model optimization, cloud deployment, and end-to-end machine learning pipelines in fast-paced environments.
NUST (SEECS)
MS Data Science · Data Science
August 1, 2019 – June 30, 2022
The Islamia University of Bahawalpur
BSc (Hons) Computer Systems Engineering · Computer Systems Engineering
August 1, 2015 – June 30, 2019
Edgeops
Machine Learning Engineer
April 1, 2023 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Technical University of Munich
PhD Visiting Research Intern
December 1, 2022 – March 1, 2023
Germany
Revolve AI
Machine Learning Engineer
April 1, 2021 – November 1, 2022
Islamabad, Islamabad Capital Territory, Pakistan
Fiverr
AI & Data Science Freelancer
May 1, 2019 – March 1, 2021
Pakistan
AI Fitness Instructor using LLMs (RAG + LangChain + LangGraph)
January 1, 2026 – January 1, 2026
Built an AI fitness instructor using gym/company workout data with a RAG pipeline. Integrated LangChain for LLM-based response generation and LangGraph for structured conversational workflow. The system provides personalized workout guidance, exercise instructions, and fitness questions.
Predict Learning Style of Student
January 1, 2025 – January 1, 2025
Predicting the learning style of students using machine learning techniques. By analyzing various factors such as academic performance, behavioral patterns, and engagement data, the model identifies whether a student is a visual, auditory, reading/writing, or kinesthetic learner.
TTS model
January 1, 2025 – January 1, 2025
This project developed a mobile-based Text-to-Speech (TTS) model that generates natural-sounding speech using a cloned voice as a reference.
Enhanced 3D Pose Landmark Detection
January 1, 2024 – January 1, 2024
This project involves preparing a comprehensive 3D dataset for pose landmarks by augmenting it with additional points, followed by training a new head on top of a pre-trained model.
Powerblock Dumbbell Tracker
January 1, 2023 – January 1, 2023
This project focuses on developing a robust system for detecting, classifying, and tracking dumbbells by using AI models and seamlessly integrated into an Android application.
Real-time UAV Localization using Deep Learning
January 1, 2022 – June 1, 2026
Creating a real time localization system by using deep learning computer vision technology in which we use pre-stored geo-referenced imagery for Unmanned Aerial Vehicle (UAV) localization. (Currently Working)
Panorama Generation from Multiple Images
January 1, 2020 – January 1, 2020
Image stitching to produce perfect panoramic images captured from a mobile device and different cameras is the most challenging topic of computer vision. To produce quality panorama by stitching whole 360 view of world is a promising objective and apply semantic segmentation on this.
IoT-based Smart Home Automation System
January 1, 2019 – January 1, 2019
Internet of Things (IOT) based smart home automation system that comprises of complete automation of lights, fans, temperature control, and door security, etc.
MIYOLO: Modification of Improved YOLO-v3
IETE Journal of Research
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research to professional deployments and freelance work, indicates adaptability and a broad interest in ML applications. The experience across different companies (Edgeops, Revolve AI, Technical University of Munich) and freelance work suggests an ability to integrate into various work environments and contribute to different types of projects. The focus on practical, deployed solutions aligns well with a results-driven culture.
Soft Skills & Operational Fit
The candidate's experience leading a team and managing project lifecycles suggests good operational fit and potential for leadership. The descriptions of project improvements (e.g., accuracy, latency reduction) indicate a problem-solving mindset and focus on performance. While direct evidence of communication and collaboration soft skills is limited to project descriptions, the team lead role implies these are present.