Sauryadeep Pal
Machine Learning Framework Engineer at Synaptics Incorporated
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolSauryadeep Pal is a Machine Learning Framework Engineer based in Sunnyvale with nine years of experience specializing in deploying efficient Edge AI on low-power IoT devices. He combines strong Python expertise with embedded C/C++ skills from hands-on microcontroller projects and production work at Synaptics, where he implemented optimized instance segmentation, GStreamer inference pipelines, and a Python SDK for real-time video AI. His background includes practical industrial energy analytics and automation at UCI SMART and HP, giving him a pragmatic systems view that spans firmware to cloud-adjacent tooling. He enjoys squeezing useful functionality out of constrained hardware—a hobby that directly informs his professional focus on performant, resource-aware ML. Known for translating research into deployable demos (including a voice-enabled assistant pipeline), he excels at bridging developer ergonomics and low-level optimization.
8 years of coding experience
2 years of employment as a software developer
CIE A Levels, CIE A Levels at Kolej Yayasan Saad MelakaBachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Multimedia UniversityUniversity of California, Irvine
English, Bengali, German, Malay
Github Skills (8)
chord7
phrase6
music-composition5
lilypond5
hyphenation5
music-generation4
music4
python3
Programming languages (1)
Github contributions (5)
Saurya0401/Text-To-Music
Jan 2019 - May 2019
A simple Python program that plays a random chord progression when a text phrase is provided as an input.
Contributions:34 commits, 2 PRs, 29 pushes in 4 months
pythonmusic-compositionmusic-generationhyphenationchord
Saurya0401/CBSvC
Apr 2024 - Jun 2024
Contributions:99 pushes in 1 month
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