Ishaan Dwivedi
Software Engineer 2 @ Microsoft | Low Latency, LangGraph, Agentic AI Dev, Product Solutioning
Greater Bengaluru Area
6+ years of work experience
Mar 20242 y 5 moPresent
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.
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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.
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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.
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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.
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• 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.
Aug 20221 yr 8 mosMar 2024
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.
Jan 20227 moAug 2022
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.
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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%.
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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%.
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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.
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Modernized Legacy Core Infrastructure: Spearheaded C to C++ codebase modernization across 27% of core system
modules, drastically improving code maintainability and execution performance.
Aug 20202 yrs 1 moAug 2022
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.
Aug 20201 yr 6 mosJan 2022
Bengaluru, Karnataka, India
May 20193 mosJul 2019
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.
May 20182 mosJun 2018
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.
Ishaan’s AI Stack
Education
Bachelor of Technology, Computer Science
Maulana Azad National Institute of Technology
20164 yrs2020
High School Diploma
Aditya convent school
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