I am Muhammad Umar Farooq, a results-driven MLOps/ML engineer with hands-on experience in building end-to-end ML pipelines, deploying models to cloud, and optimizing performance in production. I specialize in computer vision, deep learning, and API development, with practical know-how of Docker, GCP, ONNX, and TensorRT. I thrive in collaborative environments and enjoy turning complex problems into reliable, scalable ML systems. In my freelancing and contract work I’ve delivered production-grade model deployments, automated QA pipelines, and edge-optimized inferences. I’m seeking an MLOps Engineer role where I can apply my technical leadership, cross-functional collaboration, and passion for robust ML infrastructure to drive value.

Muhammad Umar Farooq

I am Muhammad Umar Farooq, a results-driven MLOps/ML engineer with hands-on experience in building end-to-end ML pipelines, deploying models to cloud, and optimizing performance in production. I specialize in computer vision, deep learning, and API development, with practical know-how of Docker, GCP, ONNX, and TensorRT. I thrive in collaborative environments and enjoy turning complex problems into reliable, scalable ML systems. In my freelancing and contract work I’ve delivered production-grade model deployments, automated QA pipelines, and edge-optimized inferences. I’m seeking an MLOps Engineer role where I can apply my technical leadership, cross-functional collaboration, and passion for robust ML infrastructure to drive value.

Available to hire

I am Muhammad Umar Farooq, a results-driven MLOps/ML engineer with hands-on experience in building end-to-end ML pipelines, deploying models to cloud, and optimizing performance in production. I specialize in computer vision, deep learning, and API development, with practical know-how of Docker, GCP, ONNX, and TensorRT. I thrive in collaborative environments and enjoy turning complex problems into reliable, scalable ML systems.

In my freelancing and contract work I’ve delivered production-grade model deployments, automated QA pipelines, and edge-optimized inferences. I’m seeking an MLOps Engineer role where I can apply my technical leadership, cross-functional collaboration, and passion for robust ML infrastructure to drive value.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more

Work Experience

AI Automation Engineer at Druglift
January 1, 2025 - Present
Automated QA pipeline for package delivery verification using image classification; processed 500+ images daily. Implemented route optimization with OR-Tools, cutting delivery times by 15%. Built RESTful APIs integrating Hugging Face models (Qwen2.5) for production deployment. End-to-end ML pipeline from data ingestion to model serving.
Full Stack Mobile Developer at Upwork (Freelance)
October 1, 2024 - January 1, 2025
Developed cross-platform mobile applications (iOS/Android) using Flutter with OpenAI API integration; implemented Firebase backend services for real-time data synchronization and user authentication; deployed applications to App Store and Google Play, managing CI/CD for app signing and certification.
Computer Vision Engineer at Shark Programming (Upwork)
August 1, 2024 - November 1, 2024
Designed and deployed vehicle detection system on Google Cloud Platform; achieved 95% detection accuracy. Optimized model inference with ONNX and TensorRT, reducing latency by 60% on edge devices (NVIDIA Orin Nano). Built OpenCV data pipeline for real-time video processing at 30+ FPS. Implemented containerized deployment workflow for seamless cloud and edge deployments.
AI Engineer - LLM Fine-Tuning at Upwork
July 1, 2024 - Present
Fine-tuned GPT-4o model for a financial planning chatbot using the OpenAI API; improved response accuracy by 40% and reduced API costs by 25% through prompt engineering. Deployed production-ready API endpoints for seamless integration with client web application.
Embedded Systems Engineer Trainee at Learnobots NSTP, Islamabad
May 1, 2024 - June 1, 2024
Developed real-time communication system using Arduino and NRF24L01 for robotic gaming arena; implemented low-latency protocols in C++ for ESP32 and Arduino.
Machine Learning Engineer (Research Assistant) at Freelance
August 1, 2023 - December 1, 2024
Developed ML classification models for hardware peripheral identification with 92% accuracy; engineered feature extraction pipeline from reverse-engineered firmware data; optimized model performance through hyperparameter tuning and cross-validation; documented model architecture and training procedures for reproducibility.

Education

Bachelor of Science in Computer Engineering at Air University Islamabad, Pakistan
September 1, 2020 - June 1, 2024

Qualifications

AI with HuggingFace Pipeline – DeepLearning.AI
January 11, 2030 - February 26, 2026
Intermediate Deep Learning with PyTorch – DataCamp
January 11, 2030 - February 26, 2026
Neural Networks and Deep Learning – DeepLearning.AI (Coursera)
January 11, 2030 - February 26, 2026
Introduction to Power BI – Microsoft
January 11, 2030 - February 26, 2026

Industry Experience

Software & Internet, Media & Entertainment, Education