Kumar Suman
Senior Data Scientist
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolKumar Suman is a Senior Data Scientist based in Bengaluru with nine years of experience building high-impact, revenue-driving AI systems across media, retail, and supply chain. He has led end-to-end personalization and feature-store efforts for 15M+ users at Dainik Bhaskar and architected low-latency pipelines processing 100M+ daily events. At Noodle.ai he created Inferno, a forecasting platform that outperformed traditional projections and saved clients millions, and earlier built distributed feature engineering frameworks that increased deployment velocity and compute efficiency by orders of magnitude. Most recently he designed a vector search engine with LLM-powered RAG capabilities at Neuron7.ai and now applies that production ML expertise at Victoria’s Secret & Co. Comfortable bridging research and engineering, Kumar pairs deep ML/DL skills in Python with pragmatic system design to take prototypes into production at scale. An interesting thread through his work is squeezing extreme performance—latency, throughput, and cost—out of real-world ML systems rather than just improving model metrics.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Information Science and Engineering, Bachelor’s Degree Information Science and Engineering at PES UniversityMachine Learning & Deep Learning Specialization Computer Science, Machine Learning & Deep Learning Specialization Computer Science at CourseraPython Specialization Computer Science, Python Specialization Computer Science at University of Michigan
Github Skills (98)
python10
coreference10
prophet10
flask-application10
coreference-resolution10
deep-learning10
flask10
modular10
editor10
ml10
intervention10
neural-network10
stock-price-prediction10
stock10
artificial-intelligence10
Programming languages (7)
Github contributions (5)
nityansuman/marvin
Apr 2018 - Nov 2022
Web app to automatically generate subjective or an objective test and evaluate user responses without any human intervention in an efficient and automatic manner using machine learning and natural language processing.
Contributions:7 releases, 2 reviews, 149 commits in 4 years 7 months
examinationpythonevaluateexamination-systemlanguage-processing
udyam-ai/tensorhub-ai
May 2019 - Nov 2022
TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.
Contributions:5 releases, 2 reviews, 530 commits in 3 years 6 months
pythoncaffe2tensorflowon-toptensorflow-2-0
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