Hammad Usmani
Machine Learning Engineer at United Nations
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHammad Usmani is a Machine Learning Engineer with 11 years of experience building production-grade AI and data systems, currently developing generative AI aligned with the United Nations' sustainable development goals. He has delivered end-to-end ML solutions across defense, finance, and research organizations—designing cognitive search for NASA’s Artemis program at Lockheed Martin and building data lake and deep learning pipelines at Moody’s Analytics. Skilled in Python, Spark, TensorFlow/PyTorch, NLP, and cloud infrastructure (AWS), he moves models from research to scalable deployment and has improved predictive performance substantially in production contexts. Hammad pairs an M.S. in Computer Science from Georgia Tech with business training from Harvard Business School Online, bringing both technical rigor and product-mindedness to complex problems. A quietly practical innovator, he has optimized algorithmic performance (e.g., geolocation parsing) and engineered high-throughput ETL and satellite imagery pipelines for weather and scientific applications.
11 years of coding experience
7 years of employment as a software developer
Other; Certificate in Entrepreneurship Essentials, Other; Certificate in Entrepreneurship Essentials at Harvard Business School OnlineNanodegree Machine Learning Engineer, Nanodegree Machine Learning Engineer at UdacityInternational Baccalaureate English HL History HL Theatre HL Biology SL, International Baccalaureate English HL History HL Theatre HL Biology SL at Gateway High SchoolBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Central FloridaMaster's in Science (M.S.) Computer Science, Master's in Science (M.S.) Computer Science at Georgia Institute of Technology
English, Urdu, French, Hindi
Github Skills (100)
openapi10
hue10
webui10
ai10
llm10
openai10
iot-application9
upnp9
smartthings9
ollama9
handlers9
python9
deep-learning9
machine-learning9
zwave9
Programming languages (10)
Github contributions (5)
hammad93/hurricane-agent
Sep 2020 - Mar 2025
This agentic AI creates email reports and hosts the REST API. The reports have tropical storm and hurricane forecasts from the hurricane-net model. The deployment repository for a hurricane forecasting system based on machine learning and deep learning methods.
Contributions:1 release, 26 PRs, 292 pushes in 4 years 7 months
forecastingtropicalreportspythondeep-learning
hammad93/realtime-survey-analysis
May 2015 - Jan 2018
Contributions:6 commits, 5 pushes, 1 branch in 2 years 8 months
realtimesurveyproject-1survey-analysis
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