---
title: "Ishaan Dwivedi - Software Engineer 2 (L61) in Greater Bengaluru Area | Tal"
description: "Meet Ishaan Dwivedi, Software Engineer 2 @ Microsoft | Low Latency, LangGraph, Agentic AI Dev, Product Solutioning based in Greater Bengaluru Area. AI stack includes claude code, codex, and github copilot. Explore public work links including github and ishaan-dwivedi.vercel.app."
image: "https://tal.club/meet/ishaan-dwivedi/share-image"
---

# Ishaan Dwivedi on Tal

## Headline

Software Engineer 2 @ Microsoft \| Low Latency, LangGraph, Agentic AI Dev, Product Solutioning

## About

I build scalable cloud platforms, developer tooling, and AI/agentic automation — and I like turning messy, high\-severity problems into calm, reliable systems\. Currently a Software Engineer II at Microsoft on the Dataverse / Agent Data Platform \(Power Apps, Power Automate, Dynamics 365\), focused on platform\-runtime reliability and AI\. Recent highlights: • Prototyped an early Finance & Operations MCP server — foundational work that fed into Microsoft's now\-GA F&O MCP capability\. • Designed near\-zero\-downtime servicing and batch autoscaling APIs saving \~$300K and \~$117K / month\. • Built 6 cross\-team Claude CLI plugins \+ VS Code extensions to boost developer productivity\. • As SME/queue owner for runtime crash, memory & continuous number\-sequence issues, cut customer\-reported incidents sharply\. Earlier, at JPMorgan Chase, I built ultra\-low\-latency \(90\-110 ms\) order execution for equities/credit/e\-trading, plus real\-time React/Redux \+ Spring Boot dashboards for proactive monitoring\. I care about root\-cause analysis, experimentation, and chaos/incident management — and making AI genuinely useful in production\. Tech: Python · C\# · C\+\+ · MCP · LLM integration · Prompt engineering · Copilot/Claude tooling · Azure · \.NET · React · distributed systems\. Always up to connect with folks building agentic systems or reliable platforms — I still write code for fun\.

## Location

Greater Bengaluru Area

## AI stack

claude code

codex

github copilot

langchain

langgraph

openai

## Work experience

Software Engineer 2 \(L61\) at Microsoft, Mar 2024 \- Present · 2 y 5 mo, Hybrid, Incubated & Architected the foundational Finance & Operations \(F&O\) Model Context Protocol \(MCP\) server from 0\-to\-1 prototype into production, laying the groundwork for Microsoft's GA F&O MCP platform that exposes 13 tools across 10,000\+ enterprise customer environments\. • Led Cross\-Team Developer Velocity Initiatives: Architected 6 Claude CLI plugins and VS Code extensions alongside 3 teamspecific productivity tools, significantly streamlining developer workflows across multiple engineering orgs\. • Architected Near\-Zero\-Downtime \(nZDT\) Servicing APIs: Enabled seamless continuous OS upgrades and patching, reducing monthly operational overhead and saving $300,000/month in system downtime and servicing costs\. • Engineered Dynamic Batch Autoscaling & Scheduling APIs: Optimized runtime resource distribution across high\-scale platform workloads, driving direct cloud resource cost reductions of $117,000/month\. • • Spearheaded Platform Reliability & SME Incident Leadership: Served as primary SME and queue owner for Runtime Crash, Memory, and Number Sequence issues; reduced monthly Crash CRIs from \~11\.5 to 8\.2 and Number Sequence CRIs from \~9 to 4\. Eliminated Production Blockers: Root\-caused and resolved a critical OS\-level crash in Windows Server 2022 internal File Read APIs affecting 7,600\+ enterprise production environments following Windows Server 2012/2019 EOL; fixed 90\+ CodeQL and PoliCheck security vulnerabilities\.

Software Engineer at Microsoft, Aug 2022 \- Mar 2024 · 1 yr 8 mos, Hyderabad, Telangana, India, Core member of the Dataverse / Agent Data Platform \(Power Apps, Power Automate, Dynamics 365\), building platform\-runtime reliability and developer tooling that laid the foundation for my current work\.

Software Engineer \(SEP2\) at JPMorgan Chase & Co\., Jan 2022 \- Aug 2022 · 7 mo, Bengaluru, Karnataka, India, Architected Ultra\-Low\-Latency Execution Engine: Integrated internal Order Management Systems \(OMS\) and Smart Order Routers on the JISU Cross\-Connectivity platform, enabling ultra\-low\-latency \(90–110 ms\) order execution across Equities, Credit, and e\-Trading\. • Built Real\-Time Observability & Monitoring Dashboards: Engineered stateful monitoring systems \(React, Redux, Java Spring Boot\) with real\-time alerting, cutting service degradation detection time by 40%\. • Optimized UI/Frontend Architecture: Redesigned platform UI and normalized Redux state structure, reducing unnecessary rerenders and API payload traffic by \~30% while accelerating dashboard load performance by 35%\. • Automated Protocol Configuration Workflows: Developed Python automation engines to translate client specification documents directly into FIX\-protocol configurations, eliminating manual setup and saving 30–50 engineering hours monthly\. • Modernized Legacy Core Infrastructure: Spearheaded C to C\+\+ codebase modernization across 27% of core system modules, drastically improving code maintainability and execution performance\.

Software Engineer at JPMorgan Chase & Co\., Aug 2020 \- Aug 2022 · 2 yrs 1 mo, REST APIs, • Enabled ultra\-low\-latency \(90–110 ms\) order execution on the JISU Cross\-Connectivity platform \(Equities, Credit, e\-Trading\) by integrating internal OMS and Smart Order Router\. • Built real\-time service\-tracking dashboards \(React, Redux, Java Spring Boot\) with configurable alerting, enabling proactive detection of service degradations and cutting issue\-detection time by \~40%\. • Streamlined platform loaders and redesigned to a cleaner, minimalistic UI; normalized Redux state reduced redundant re\-renders and API calls by \~30% and improved dashboard load time by \~35%\. • Automated conversion of client spec docs to FIX\-protocol configs in Python, saving 30–50 hours/month\. • Modernized legacy codebase by upgrading 27% of C to C\+\+, improving maintainability and performance\. • Owned Public Finance \(MUNI\) instances across Bloomberg, TradeWeb, and MarketAxess; onboarded direct client modules \(BlackRock, Aladdin, Perform\)\. • Introduced poker\-based sprint planning, saving 1–3 hours per sprint per team member\.

Software Engineer \(SEP1\) at JPMorgan Chase & Co\., Aug 2020 \- Jan 2022 · 1 yr 6 mos, Bengaluru, Karnataka, India

Summer Intern at JPMorgan Chase & Co\., May 2019 \- Jul 2019 · 3 mos, Mumbai Area, India, Wrote Python automation and data\-processing scripts for the markets technology team, simplifying repetitive workflows and gaining early hands\-on exposure to trading systems, FIX connectivity, and production engineering practices — the foundation that led to my full\-time role at JPMorgan Chase\.

ERP Trainee at Madhya Pradesh Power Transmission Company Limited, May 2018 \- Jun 2018 · 2 mos, Jabalpur , Madhya Pradesh, • Contributed to the SAP HANA ERP implementation for Madhya Pradesh Power Transmission Company Ltd\. — the state electricity transmission utility of the Government of Madhya Pradesh — configuring and customizing ERP modules and working hands\-on with transaction codes \(T\-codes\) for materials, maintenance, and reporting workflows\. • Automated data\-entry and reporting tasks with Python to reduce manual effort for the operations team\. • Early hands\-on experience with mission\-critical public\-sector infrastructure and large\-scale enterprise systems — the spark that set me on a path toward building reliable business platforms and automation\.

## Education

Bachelor of Technology, Computer Science, Maulana Azad National Institute of Technology

High School Diploma, Aditya convent school

## Public links

- github: https://github\.com/ishu\-dvd
- ishaan\-dwivedi\.vercel\.app: https://ishaan\-dwivedi\.vercel\.app/

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

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