---
title: "Shreyas S - Software Engineer in Bengaluru | Tal"
description: "Meet Shreyas S, Software Engineer | GSoC’24 based in Bengaluru. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github, leetcode, and zhreyu.github.io."
image: "https://tal.club/meet/shreyas-s/share-image"
---

# Shreyas S on Tal

## Headline

Software Engineer \| GSoC’24

## About

Ping : shreyas\.s@outlook\.in Work : https://zhreyu\.github\.io/work If you're building something and think I can help, my DMs are always open :\) subtle things I don’t usually mention: built a SaaS generating $1K\+ in sales Finalist, Adobe India Hackathon 2025 \(top 7 / 260k\+ participants\) Hacksquad 2023 \(top 50 winning teams / 2000\+ teams\) won multiple college\-level hackathons polyglot \(7 languages, grew up across north and south India in a multilingual household\)

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

codex

cursor

opencode

## Work experience

Software Engineer at Stealth, Dec 2025 \- Present · 9 mos, United States, Founding engineer building core infrastructure for a headless CMS platform\. \- Own multiple critical systems spanning scripting engine, routing, blocks, deployments\. \- Designed the expression language that powers dynamic content relationships \- Built caching architecture and delivered 4x performance improvements \- mass \~30% of platform functionality; \- Day 1 contributor

AI Engineering Intern at Puch AI, Jul 2025 \- Sep 2025 · 3 mos, Bengaluru, Optimized real\-time AI speech and multilingual systems at scale for millions of Indian users\. \- Parallelized STT on H100 GPUs with CUDA streams ; 18% latency reduction \- Scaled MCP architecture from single to multi\-server per user \- Multilingual pipeline for 11 Indic languages with robust script detection & fallbacks \- Integrated audio generation within existing in\-house text\-to\-video workflows

ML Intern at ScoreTravel, Mar 2025 \- Jun 2025 · 4 mos, California, United States, Built data quality infrastructure to reduce noise and cost in high\-throughput ML pipelines\. \- Deduplication microservices using text similarity and image processing benchmarks \- R&D experiments tracked via WandB; validated against VLMs for approach effectiveness

Student Researcher at Emory University Department of Biomedical Informatics, Sep 2024 \- Dec 2024 · 4 mos, Atlanta, Georgia, United States, Interpretable deep learning for large scale EEG modeling\. \( extended on top of GSoC work\) \- DeepLIFT attribution pipeline to identify key brain signal features \- Vector quantization training with multi\-node synchronization \- Visualization tools \(heatmaps, time\-resolved plots\) for channel\-wise analysis

Student Researcher \( University Lab \) at AIR CENTER VITAP, Mar 2023 \- Nov 2025 · 2 yrs 9 mos, On\-site, Generative AI & computer vision research across image synthesis, clustering, and document understanding\. \- Stable Diffusion inpainting \+ LoRA fine\-tuning for context\-aware image editing \- DBScan\-based multi\-face clustering for identity preservation at scale \- Noval SOTA OCR pipeline for artifact extraction from mechanical drawings

## Education

Master of Technology, Computer Science and Engineering \( 5 Year Integrated \), Vellore Institute of Technology

Kendriya Vidyalaya Noida, New Delhi

## Public links

- github: https://github\.com/zhreyu
- leetcode: https://leetcode\.com/zhreyu
- zhreyu\.github\.io: https://zhreyu\.github\.io/

[View the original profile](https://tal.club/meet/shreyas-s)

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