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Tanmay Singhal

SDE Intern at Amazon || Ex-DS Intern at Zepto || GSoC’25 @ ML4SCI || National Finalist Amazon ML Challenge 2024 || IIT(ISM), Dhanbad MnC’27 || ML Enthusiast

Jaipur

4+ years of work experience

Amazon
Aug 20261 moPresent

Bengaluru, Karnataka, India

Zepto
May 20263 mosJul 2026

Bengaluru, Karnataka, India

Replaced a static QCL cache with a real-time seq2seq query correction model, achieving unlimited query coverage. Designed and trained a modified T5 encoder-decoder from scratch outperforming large pretrained models. Built a synthetic data pipeline generating noisy query variants from 300K curated high-value target queries. Trained a custom domain-specific tokenizer on catalog data, improving exact-match accuracy from 91% to 95.5%. Exported encoder and decoder as independent ONNX graphs with KV caching, achieving 2.5x speedup. Deployed the model to production for tail-queries, lifting head-query conversion recall from 24.4% to 61.7%. Implemented confidence scoring to enable fallback routing thus safeguarding production reliability.
Google Summer of Code
May 20255 mosSep 2025

Remote

Tatras Data
May 20248 mosDec 2024

New Delhi, Delhi, India

Indian Institute of Technology (Indian School of Mines), Dhanbad
Oct 20223 yrs 8 mosMay 2026

Dhanbad, Jharkhand, India

Tanmay’s AI Stack

claude code
claude code
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Education

Indian Institute of Technology (Indian School of Mines), Dhanbad

Integrated Master of Technology, Mathematics and computing

Indian Institute of Technology (Indian School of Mines), Dhanbad

20225 yrs2027

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Headline

SDE Intern at Amazon || Ex-DS Intern at Zepto || GSoC’25 @ ML4SCI || National Finalist Amazon ML Challenge 2024 || IIT(ISM), Dhanbad MnC’27 || ML Enthusiast

Location

Jaipur

AI stack

claude code

cursor

Work experience

SDE Intern at Amazon, Aug 2026 - Present · 1 mo, Bengaluru, Karnataka, India

Data Science Intern at Zepto, May 2026 - Jul 2026 · 3 mos, Bengaluru, Karnataka, India, Replaced a static QCL cache with a real-time seq2seq query correction model, achieving unlimited query coverage. Designed and trained a modified T5 encoder-decoder from scratch outperforming large pretrained models. Built a synthetic data pipeline generating noisy query variants from 300K curated high-value target queries. Trained a custom domain-specific tokenizer on catalog data, improving exact-match accuracy from 91% to 95.5%. Exported encoder and decoder as independent ONNX graphs with KV caching, achieving 2.5x speedup. Deployed the model to production for tail-queries, lifting head-query conversion recall from 24.4% to 61.7%. Implemented confidence scoring to enable fallback routing thus safeguarding production reliability.

Contributor @ ML4SCI at Google Summer of Code, May 2025 - Sep 2025 · 5 mos, Remote

Data Science Intern at Tatras Data, May 2024 - Dec 2024 · 8 mos, New Delhi, Delhi, India

Student at Indian Institute of Technology (Indian School of Mines), Dhanbad, Oct 2022 - May 2026 · 3 yrs 8 mos, Dhanbad, Jharkhand, India

Education

Integrated Master of Technology, Mathematics and computing, Indian Institute of Technology (Indian School of Mines), Dhanbad

Public links

github: https://github.com/notfoundtanmay

medium: https://medium.com/@singhaltanmay55

leetcode: https://leetcode.com/swayamtanmay

codeforces: https://codeforces.com/profile/badmash_tanmay

Tanmay Singhal - SDE Intern in Jaipur | Tal