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.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

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.
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.
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.
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.
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.
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.

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