Shreeviknesh S
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolShreeviknesh S is an Applied Scientist at Amazon Prime Video Marketing Analytics with eight years of experience building production ML systems and a recent MS in Computer Science from UMass Amherst (3.97 GPA). He specializes in generative models, large language models, speech synthesis and end-to-end neural systems, and has applied these skills to low-latency, low-resource TTS and ASR solutions as well as Transformer-based customer journey models for checkout abandonment prediction. At SapientX he delivered an 8x speedup for English TTS and an offline multi-speaker TTS service optimized for constrained Linux devices, demonstrating a strong focus on practical, resource-efficient deployments. He pairs rigorous academic training with hands-on engineering across the full ML lifecycle, from data extraction and denoising to scenario analysis and model-driven product decisions. Based in Seattle, he brings both research curiosity and product-oriented impact, and is known for tackling speech and explainability challenges that bridge research prototypes and scalable production systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - B.Tech., Computer Science & Engineering, 9.48/10, Bachelor of Technology - B.Tech., Computer Science & Engineering, 9.48/10 at SRM Institute of Science and TechnologyMaster of Science - MS, Computer Science, 3.97/4, Master of Science - MS, Computer Science, 3.97/4 at University of Massachusetts Amherst
English, German, Hindi, Tamil
Stackoverflow
1reputation
0reached
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Github Skills (17)
deep-reinforcement-learning8
machine-learning7
reinforcement-learning7
transformer6
deep-learning6
python5
pytorch5
webapp4
numpy4
tensorflow3
pathfinding3
jax3
javascript3
data-science3
machine-learning-algorithms3
Programming languages (2)
Github contributions (5)
shreeviknesh/ScratchML
Apr 2020 - Nov 2022
A python package with implementations of Machine Learning algorithms from scratch.
Contributions:5 releases, 53 commits, 4 PRs in 2 years 7 months
implementationspythondata-sciencemachine-learning-algorithmsmachine-learning
shreeviknesh/Pathfinder
May 2020 - May 2020
A webapp to visualize the various pathfinding algorithms.
Contributions:37 commits, 4 PRs, 23 pushes in 7 days
visualizejavascriptpathfinding-algorithmswebapppathfinding
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