Tanmay Thakur
Data Scientist - 1
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolTanmay Thakur is a data scientist with 8 years of engineering experience and three years focused on building and productionizing ML and GenAI solutions. Based in Bengaluru, he currently applies LLMs to improve e-commerce content for Fortune 500 brands at CommerceIQ, after driving large-scale transaction-level modeling and pipeline optimizations at American Express. His work there produced a model that lifted Gini by 1100 basis points and delivered an incremental $3M, alongside a 9x speedup and 96% memory reduction when migrating pipelines to Spark/MapReduce. He blends research experience in continual learning from a stint in Japan with hands-on PyTorch engineering and end-to-end model deployment expertise. Comfortable leading cross-functional teams—evidenced by student leadership at IIT Guwahati—he also enjoys tinkering on personal projects and gaming in his spare time. Known for pragmatic, cost-sensitive solutions, he focuses on measurable business impact from ML rather than novelty for its own sake.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Indian Institute of Technology, GuwahatiHigh School, CBSE, High School, CBSE at JGI, Aurangabad
English, Hindi, Marathi
Github Skills (173)
transformers10
pytesseract10
language-model10
python10
flax10
datasets10
deep-learning10
speech10
condition10
neural-network10
computer-vision10
transformer10
nlp10
jax10
multiclass-classification10
Programming languages (9)
Github contributions (5)
smoke-trees/forest-utils
Jun 2020 - Oct 2020
Pypi Package for Smoketrees model zoo
Contributions:35 commits, 2 PRs, 1 push in 3 months
pythonpypipippypi-packagepython3
CYBINT-IN/word-embeddings
Apr 2020 - Jul 2020
Custom word embeddings created from latent features generated by gensim models
Contributions:83 commits, 16 PRs, 15 pushes in 3 months
nlpword-embeddingsembeddingsgensimlatent-features
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