Headline

Senior Software Engineer @ Morgan Stanley | Backend & Distributed Systems | GenAI, RAG, Agentic Workflows | Spec-Driven Development | Building AI-augmented developer tooling

About

I build backend systems where performance and correctness aren't optional — and I build the AI tooling that helps engineers ship faster on top of them. Five years at Morgan Stanley designing high-performance modules for the Goals Planning System: multi-period asset allocation, dynamic tax modeling, social security optimization — all running under a strict sub-1-second SLA. Along the way I re-engineered our binomial pricing algorithm to cut iterations by 40%, designed a modular rules engine that lets the business reconfigure logic without code changes, and led the cloud migration of legacy planning infrastructure to Azure. The other half of my work is AI-augmented engineering. I use Claude and Copilot daily — not as autocomplete, but as a development methodology. I've been deep on Spec-Driven Development (writing specs that drive code, tests, and review), agentic workflows, and prompt engineering with evals for production reliability. I've shipped a GenAI-powered RAG system over OpenAI + vector DBs that transformed how our org discovers internal docs and code, and a VS Code extension that compresses impact analysis from days to hours. More recently I've been building MCP-based internal copilots that give AI agents context-aware access to proprietary docs and codebases. I formally lead AI-tooling workshops across the department — Copilot adoption, prompt engineering, evals, Spec-Driven Development — because the leverage from raising the floor is enormous. What I care about: • Systems that stay fast and predictable under load • AI workflows that produce reliable, reviewable output (not vibes) • Tools and patterns that compound across teams • Mentoring engineers into AI-fluent practitioners Tech I work with: Python, C#, Java, .NET, Azure, Docker, OpenAI, Claude, MCP, vector DBs, Angular. Open to conversations on Staff/Principal-track roles working at the intersection of distributed systems, fintech, and applied GenAI.

Location

Greater Bengaluru Area

AI stack

aistudio

antigravity

claude code

claude

gemini

github copilot

Work experience

Director at Morgan Stanley, Jan 2026 - Present · 7 mo, On-site, Designing high-performance backend systems for the Goals Planning System — a flagship wealth-planning platform — and building the GenAI tooling that's reshaping how our engineering org works. Highlights: • Architected backend modules for Multi-Period Asset Allocation, Dynamic Tax Modeling, and Social Security Optimization, meeting a sub-1-second real-time SLA for advisor workflows. • Re-engineered the Binomial Pricing Algorithm — 40% fewer iterations, 30% lower SLA. • Designed a modular rules-engine framework using lambda expressions, enabling multi-rule execution and live business reconfiguration without code changes. • Led modernization of legacy financial-planning infra during the Azure cloud migration. • Designed and shipped a GenAI-powered RAG system (OpenAI + vector DB) that transformed internal doc and code discovery across the org. • Built a VS Code extension that automates codebase documentation and impact analysis — multi-day cycles compressed to hours; rolled out department-wide. • Pioneered Spec-Driven Development and agentic workflows with Claude and Copilot as a daily engineering practice on greenfield modules. • Built MCP-based internal copilots exposing proprietary docs, runbooks, and code search to AI agents for context-aware development. • Formally lead AI-tooling workshops across the department — Copilot adoption, prompt engineering, evals, Spec-Driven Development. • Multiple internal innovation awards: Rules Engine, RAG Search Tool, Productivity Plugin. Stack: C#, .NET, Python, Azure, Angular, Docker, OpenAI APIs, Claude, MCP, vector databases.

Technology Manager at Morgan Stanley, Jan 2023 - Jan 2026 · 3 yrs 1 mo, On-site

Senior Associate at Morgan Stanley, Jan 2022 - Jan 2023 · 1 yr 1 mo

Associate at Morgan Stanley, Jan 2021 - Jan 2022 · 1 y, Bangalore

Analyst at Morgan Stanley, Aug 2020 - Jan 2021 · 5 mo, Bangalore

Education

Bachelor of Technology, Computer Science, Vellore Institute of Technology