Umar A.
Machine Learning Engineer | Model Optimization & Production Deployment
I make machine learning models fast, reliable, and production-ready not just notebooks that work once. I'm an ML engineer with 6+ years shipping software and a research background in high-performance ML. Most ML projects stall between "works in a demo" and "runs in production." Closing that gap is what I do. Recent results: • 205× faster inference by rewriting a pipeline with CUDA + TensorRT (1.2 min → 0.35 sec) • Cut a computer-vision pipeline setup from ~20 min to 12 sec, 5–10× faster end-to-end • 70% improvement in signal integrity on noisy real-time sensor data I help clients with: • Inference optimization & speedup (CUDA, TensorRT, ONNX Runtime) • Deploying ML to production (Docker, Kubernetes, Airflow, ONNX) • Computer vision pipelines (OpenCV, PyTorch) • Turning prototypes into scalable, maintainable systems Background: MSc Big Data & Machine Learning (ITMO, GPA 4.75/5), research engineer on government-funded ML projects, and prior enterprise work including a Microsoft developer case study. $20K+ earned on Upwork with long-term clients. If your model is too slow, too expensive to run, or stuck as a prototype, send the details and I'll tell you honestly if and how I can help.
Earnings and projects
An estimate from an earlier read
Billed in all: $21,886$22k
Across 32 contracts
Earnings, last 30 days
No data since Nov 5, 2026.