Shyam Sundar

Computer Scientist at Missouri University of Science and Technology

Missouri, United States
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Summary

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Senior
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Top School
Shyam Sundar is a computer scientist and ML researcher with nine years of professional experience, currently pursuing thesis-based graduate work in time series synthetic data generation and anomaly detection at Missouri S&T. He designed a GAN-based unsupervised anomaly detector, scaled it to GPU clusters, and demonstrated a 13% average F1 improvement over prior state-of-the-art across 250 datasets, leading to a PAKDD 2023 full paper. His industry experience includes building end-to-end clickstream ETL pipelines with Python, PySpark and Databricks and optimizing Snowflake costs at Blend360, plus hands-on CV and NLP work implementing R-CNN variants and NER in production-oriented settings. Comfortable bridging research and engineering, he benchmarks models rigorously against many baselines and adapts prototypes for distributed training and real-world data pipelines. Based in Missouri, he combines a strong academic record with practical data engineering chops and a knack for squeezing performance gains out of both models and infrastructure. An under-the-radar strength is his experience evaluating models at scale across hundreds of datasets, revealing robust, generalizable improvements rather than niche wins.
code9 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Missouri University of Science and Technology
bookAnna University, Chennai
languagesEnglish, Tamil
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Github Skills (18)

infrared7
null-safety7
arduino-library7
bug-reporting7
rtl-sdr6
protocols6
morse-code6
dac6
arduino5
receiver5
remote-control5
generative3
pytorch3
autoencoder3
machine-learning2

Programming languages (1)

Python

Github contributions (5)

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Contributions:21 commits, 20 pushes, 1 branch in 1 day
Contributions:13 pushes, 1 branch in 2 months
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Shyam Sundar - Computer Scientist at Missouri University of Science and Technology