---
title: "Shubham Jalan - Software Engineer 2 in Greater Bengaluru Area | Tal"
description: "Meet Shubham Jalan, Software Engineer @ Microsoft — building applied-LLM products (multi-agent orchestration, RAG, LLM evaluation) | backend & distributed systems | ex-Goldman Sachs based in Greater Bengaluru Area. AI stack includes claude code and github copilot."
image: "https://tal.club/meet/shubham-jalan/share-image"
---

# Shubham Jalan on Tal

## Headline

Software Engineer @ Microsoft — building applied\-LLM products \(multi\-agent orchestration, RAG, LLM evaluation\) \| backend & distributed systems \| ex\-Goldman Sachs

## About

I build applied\-LLM systems and the backend platforms underneath them\. Right now that means working on an enterprise HR Copilot at Microsoft, where I've built a multi\-agent orchestration MVP and subsequently into the platform, added retrieval\-augmented generation \(RAG\) for organizational\-data questions, and automated LLM evaluation so the team can iterate in minutes instead of days\. The through\-line across \~9 years is owning systems end\-to\-end — from the architecture argument through to the thing running in production — and caring as much about what not to build as what to build\. Some of the work I'm most satisfied with is the work that made a large build unnecessary, or turned a scrappy prototype into something durable and reusable\. I started out in finance at Goldman Sachs, spent time as a founding engineer at an early\-stage startup \(Auxia\) owning data\-pipeline and event\-schema work at 4 TB/day scale, and have led small engineering teams along the way\. My foundation is data structures, algorithms, and distributed systems; the applied\-AI work sits on top of that\. I don't think LLMs reason perfectly — they reason fairly well, and most of the interesting engineering is in the scaffolding around them: routing, grounding, evaluation, capacity\. That's the space I like working in\. Currently based in Bengaluru\. Happy to talk applied LLMs, agent architectures, or backend systems at scale\.

## Location

Greater Bengaluru Area

## AI stack

claude code

github copilot

## Work experience

Software Engineer 2 at Microsoft, May 2024 \- Present · 2 yrs 5 mos, Bengaluru, I work on an enterprise HR Copilot at Microsoft\. I built retrieval\-augmented generation \(RAG\) into the Copilot so it answers organizational\-data questions grounded in each tenant's own data instead of the base model's static knowledge\. I also automated LLM evaluation to take iteration from days to minutes, and spent six months owning capacity planning for the service\. I built a multi\-agent orchestration MVP that showed clear latency and answer\-quality gains, and subsequently into the platform\.

Software Engineer at Auxia, Sep 2022 \- Feb 2024 · 1 yr 6 mos, Bengaluru, I was the first engineer at an early\-stage startup and led a small team of three\. When a large new customer pushed a 4 TB/day pipeline past its hard 4\-hour SLA, I brought it back within bounds by moving the group\-by out of map\-reduce into upstream SQL\. I also owned an event\-schema revamp end to end — redesigning the database schema to carry structured event attributes, implementing it, and building the customer\-facing UX for choosing which attribute combinations to aggregate\. As the team's generalist engineer, I worked across our gRPC/protobuf microservices on Kubernetes\.

Software Engineer at Programming Pathshala, Jan 2022 \- Aug 2022 · 8 mos, Remote, I designed and led a three\-engineer team to ship a real\-time WhatsApp notification system on Kafka, which cut first\-response time on student doubts from about ten minutes to three\. I also did database tuning, introducing a session pool to fix connection starvation and resolving Postgres transaction contention\.

Founder, software engineer at Qmind, Jun 2019 \- Nov 2021 · 2 yrs 6 mos, Bengaluru, I founded and built a personalized quiz platform for high\-school students: a Flutter web app on GCP with Firestore, per\-student topic\-wise performance tracking, and a rule\-based personalization engine\. To keep the question bank current I automated question extraction from source PDFs with PyMuPDF\. I taught alongside building it during this period\.

Analyst at Goldman Sachs, Jul 2017 \- Jun 2019 · 2 yrs, Bengaluru, Karnataka, India, I parallelized a multi\-hour, PR\-gating test suite down to under three minutes, unblocking the team's merge flow\. I also built market\-risk models on Goldman's proprietary pricing infrastructure and a Kafka\-based distributed job that computed price corrections for a class of market instruments\.

## Education

Integrated Dual Degree, Computer Science, Indian Institute of Technology \(Banaras Hindu University\), Varanasi

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

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