Siddhant Reddy

San Francisco, California, United States
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Summary

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Senior
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Top School
Siddhant 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.
code10 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Computer Science, 3.76, Master of Science - MS, Computer Science, 3.76 at Rochester Institute of Technology
bookDon Bosco Institute Of Technology
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Stackoverflow

Stats
41reputation
9kreached
2answers
8questions
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Github Skills (47)

python10
machine-learning10
loss-functions9
tensorflow9
neural-network9
deep-learning9
audio8
deep-neural-networks8
ml8
speech8
robotics8
data-science8
simulator8
transformation7
spectrogram7

Programming languages (4)

JavaC++Jupyter NotebookPython

Github contributions (5)

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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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Siddhant Reddy