Siddhant Reddy
Software Engineer at Electric Sheep
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSiddhant Reddy is a software engineer with 10 years of experience focused on applied machine learning, computer vision, and embedded AI systems, currently building sim-to-real pipelines and low-latency vision deployments at Electric Sheep in San Francisco. His MS research at RIT explored deep unsupervised learning and a novel learned reconstruction loss to reduce reliance on annotated data, with practical fine-tuning for classification, segmentation, and RL. He has hands-on experience optimizing models for resource-constrained hardware—designing a glass-break detector that ran on a $5 device and shipping TensorRT-based deployments that cut inference latency by 50%. Siddhant also architected Nvidia Isaac Sim synthetic data tooling and used robot failure logs to improve robustness, bridging research and production for robotics perception. Curious and pragmatic, he pairs academic rigor with engineering discipline to turn ML inquiry about intelligence into tangible, cost-effective solutions.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Rochester Institute of TechnologyDon Bosco Institute of Technology (D.B.I.T)
Stackoverflow
41reputation
9kreached
2answers
8questions
Github Skills (36)
language-processing9
python9
machine-learning9
tensorflow9
deep-learning9
audio8
keras8
deep-neural-networks8
ml8
speech8
neural-network8
simulator7
pytorch7
robotics7
natural-language-processing7
Programming languages (4)
Github contributions (5)
sidwa/NYC-traffic-data-analysis
Dec 2018 - Apr 2020
Contributions:8 pushes, 1 branch in 1 year 4 months
sidwa/chicago_food_data
Feb 2019 - Apr 2020
Contributions:1 push, 1 branch in 1 year 2 months
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