Shubham Jalan profile photo 1 on Tal

Shubham Jalan

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

Greater Bengaluru Area

8+ years of work experience

Microsoft
May 20242 yrs 5 mosPresent

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.
Auxia
Sep 20221 yr 6 mosFeb 2024

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.
Programming Pathshala
Jan 20228 mosAug 2022

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.
Jun 20192 yrs 6 mosNov 2021

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.
Goldman Sachs
Jul 20172 yrsJun 2019

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.

Shubham’s AI Stack

claude code
claude code
github copilot
github copilot

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Integrated Dual Degree, Computer Science

Indian Institute of Technology (Banaras Hindu University), Varanasi

20125 yrs2017

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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

Shubham Jalan - Software Engineer 2 in Greater Bengaluru Area | Tal