---
title: "Suyash Singh - Software Engineer 2 in Bengaluru | Tal"
description: "Meet Suyash Singh, SWE 2 @ Micron | Ex- Société Générale, Legistify (YC W22) | BITS Pilani 24 based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github, leetcode, and suyash-03.github.io."
image: "https://tal.club/meet/suyash-singh/share-image"
---

# Suyash Singh on Tal

## Headline

SWE 2 @ Micron \| Ex\- Société Générale, Legistify \(YC W22\) \| BITS Pilani 24

## About

Software Engineer at Micron and BITS Pilani graduate with a passion for building scalable backend systems, distributed platforms, and AI\-powered developer tools\. I enjoy solving complex engineering problems across backend infrastructure, cloud platforms, and AI\. My work has focused on designing event\-driven systems, automating engineering workflows, and building platforms that improve developer productivity and reliability\. I’m always excited to learn new technologies, tackle challenging problems, and build systems that have real\-world impact\. Open to connecting with engineers and teams working on backend engineering, distributed systems, platform engineering, and AI\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

cursor

opencode

claudecode

## Work experience

Software Engineer 2 at Micron Technology, Oct 2025 \- Present · 1 y, Bangalore, • Led development of Summit, a distributed orchestration engine \(FastAPI, React, PostgreSQL\) for high\-concurrency job execution, real\-time logging, and reporting; scaled to handle a 2x increase in workload while reducing P95 API latency by 30%\. • Engineered an agentic Model Context Protocol \(MCP\) server \(FastMCP, Python\) to expose internal platform APIs to LLM agents, enabling autonomous natural\-language production debugging and cutting Mean Time to Detection \(MTTD\) for anomalies by \~40%\. • Architected a high\-throughput Kafka event ingestion pipeline \(Apache Kafka, AWS MSK, S3\) processing 100K\+ system telemetry events/day, powering real\-time downstream micro\-services and automated AI\-driven root cause analysis\.

Software Engineer 1 at Micron Technology, Jul 2024 \- Oct 2025 · 1 y 3 mo, Bengaluru, Karnataka, India, • Architected a pre\-release integration and Hardware\-in\-the\-Loop \(HIL\) pipeline \(Bitbucket, Jira, Jenkins\), automating sequential PR merges, multi\-target Make builds, binary bisection fault isolation, and form\-factor hardware flashing to gate nightly/weekly releases\. • Built an event\-driven scheduling and automation engine integrating JFrog Artifactory webhooks with custom distributed schedulers, orchestrating continuous and nightly/weekly firmware regression runs to improve execution throughput by \~3x\. • Built an AST\-driven code intelligence and PR analysis platform leveraging LLMs via AWS Bedrock to monitor repositories, auto\-generate unit test suites, and validate code changes in CI, increasing code coverage and reducing manual review overhead\.

Software Engineer at Legistify \(YC W22\), Jan 2024 \- Jun 2024 · 5 mo, Gurgaon, • Built a Node\.js microservice with Gmail APIs and Pub/Sub, replacing polling with webhooks for near real\-time contract email processing\. • Implemented core alerting workflows, including rule\-based triggers and event\-driven e\-signature reminders, improving UX and responsiveness\. • Designed metadata extraction pipelines using MongoDB with indexing and caching strategies enabling low\-latency search and analytic

Software Developer at Societe Generale, Jun 2023 \- Aug 2023 · 2 mo, Bengaluru, Karnataka, India, • Developed a backend pipeline using C\# and Git CLI integration to extract, filter and aggregate commit metadata for multi\-team performance tracking\. • Architected, developed and deployed a comprehensive \.NET WPF desktop application leveraging MVVM architecture for advanced Git commit analytics\. • Enabled real\-time graphical performance benchmarking of Indian and French teams leveraging Livecharts2 library or interactive data visualization\.

Machine Learning Intern at Indian Army, Jun 2022 \- Jul 2022 · 1 mo, Remote, Worked as an intern at the Army Base Workshop as part of the PS\-1 Programme at BITS Pilani • Trained a YOLO\-v5\-based object detection algorithm to detect drones in real\-time with a MAP score of 0\.67\. • Optimized the model for on\-device inference using TFlite and TensorRT, achieving a 120% boost in inference time\. • Designed an efficient data augmentation pipeline to optimize the model for adverse weather – Rain, Fog, Haze etc\.

## Education

Bachelor's degree, Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani

## Public links

- github: https://github\.com/suyash\-03
- leetcode: https://leetcode\.com/\_\_suyashsingh\_\_
- suyash\-03\.github\.io: https://suyash\-03\.github\.io/portfolio/

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

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