Mohammad Sekhavat
Machine Learning Engineer at Apple
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolMohammad Sekhavat is a Machine Learning Engineer with 14 years of experience building scalable ML and software systems, currently contributing to production ML at Apple from Toronto. He has strong hands-on experience deploying efficient edge models and streaming pipelines (JetsonNano, OpenVINO, GStreamer) as well as large-scale R&D and training infrastructure for quant and ML workloads. Prior roles at Borealis AI, Xnor.ai, and a leadership stint building a $10M marketplace’s full stack reflect his ability to move projects from research to production across cloud, cluster, and embedded environments. He designed and operated high-performance backtesting and live trading pipelines that handled terabytes of level-2 market data and parallelized millions of strategy evaluations. Comfortable across Python, PyTorch, distributed compute (Dask, Spark), and production orchestration (Docker, ECS, Kafka), he blends deep technical rigor with product-minded delivery. A strong academic foundation in AI (MSc, University of Tehran) and top national programming contest credentials hint at his problem-solving depth beyond typical engineering roles.
14 years of coding experience
10 years of employment as a software developer
Gold Medal, Iranian National Informatics Olympiad, Gold Medal, Iranian National Informatics Olympiad at Young Scholars ClubMaster of Science (M.Sc.), Artificial Intelligence, Master of Science (M.Sc.), Artificial Intelligence at University of TehranMathematics, 19.6 out of 20, Mathematics, 19.6 out of 20 at Rouzbeh HighschoolBachelor of Science (BS), Computer Software Engineering, 17.91 / 20, Bachelor of Science (BS), Computer Software Engineering, 17.91 / 20 at Sharif University of Technology
English
Github Skills (190)
python10
mapbox-gl10
readability10
edgetpu10
streamlit10
flask10
django10
persian10
pandas10
dplyr10
data-visualization10
developer-tools10
data-science10
data-structure10
nvidia-jetson10
Programming languages (13)
Github contributions (5)
sspipe/sspipe
Jun 2018 - Nov 2021
Simple Smart Pipe: python productivity-tool for rapid data manipulation
Contributions:70 commits, 2 PRs, 74 pushes in 3 years 5 months
pythonpipedata-sciencereadabilityproductivity
mohammad7t/course-mir-project
Aug 2016 - Oct 2019
This is our project for Modern Information Retrieval course
Contributions:3 PRs, 3 pushes in 3 years 3 months
information-retrieval
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