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Sivaprasath Mohandass

Software Engineer @ JPMorgan Chase | React . TypeScript | Building Low-Latency Trading Platforms | Micro-Frontends, Design Systems & AI Integration

Bengaluru

11+ years of work experience

JPMorgan Chase & Co.
Jan 20233 yrs 8 mosPresent

Bengaluru, Karnataka, India

•Prepared technical design for React/TypeScript trading platforms serving institutional users; established engineering standards and reusable patterns. •Built and drove adoption of a 30+ component enterprise React design system across multiple squads. •Drove Playwright adoption by building instruction-driven AI agents that handled ~70% of a 1,400+ test Selenium-to-Playwright migration fine-tuning agent behavior for accuracy rather than accepting raw output, and establishing low-flake, scalable e2e testing practices. •Pioneering an Agentic Development Life Cycle (ADLC) at JPMorgan Chase designing the workflows orchestrator, instructions, skills, and autonomous agents that turn AI tooling into a repeatable engineering discipline. Built a local RAG system that distills each conversation into structured markdown files, reducing token usage and making prior context instantly retrievable instead of re-explained. •Architected a cross-platform analytics widget (OpenFin FDC3) integrating with Bloomberg Terminal for 500+ institutional traders. •Integrated in-house RAG-based LLM capability into frontend workflows for natural-language auto-population of trading fields. •Mentored engineers on React architecture and frontend & automation best practices; Technical Mentor, Code for Good hackathon.
JPMorgan Chase & Co.
Mar 20202 yrs 11 mosJan 2023

India

• Developed modular floating widgets for Forex trading platforms, enhancing feature development efficiency by 20%. • Built responsive trading workflows using React and RxJS, improving trade capture accuracy for institutional users. • Achieved a 40% reduction in client-side latency on high-frequency trading dashboards through virtualization and rendering optimization. • Enhanced frontend build performance by 15% via Nx monorepo adoption and CI optimization.
Oracle
Oct 20181 y 5 moMar 2020

Bengaluru Area, India

• Transitioned from a QA automation focus to frontend development, delivering high-impact production UI enhancements for Oracle CRM Fusion. • Authored and maintained end-to-end UI validation scripts, ensuring rock-solid functionality for a platform utilized by over 1,500 enterprise sales teams. • Architected automation workflows that successfully reduced manual regression testing efforts by 36 hours per release cycle.
Wipro Limited
Jun 20153 yrs 5 mosOct 2018

Bengaluru Area, India

• Developed a comprehensive automation suite for Charles Schwab, enhancing testing efficiency. • Automated critical workflows and financial validations, streamlining processes and reducing manual efforts. • Integrated the test suite into Jenkins CI/CD for rapid feedback to development teams.
GitHub
@sivaprasathm93

Sivaprasath’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
github copilot
github copilot
claudecode
claudecode

Education

SRM Institute of Science and Technology (SRMIST)

Bachelor of Technology (B.Tech.), Mechatronics

SRM Institute of Science and Technology (SRMIST)

20114 yrs2015

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Headline

Software Engineer @ JPMorgan Chase | React . TypeScript | Building Low-Latency Trading Platforms | Micro-Frontends, Design Systems & AI Integration

About

A seasoned software engineer with over 10+years of experience, currently contributing as a Software Engineer at JPMorgan Chase. Specializing in frontend architecture, React, TypeScript, and RxJS, I design and develop robust trading platforms tailored for institutional users. I focus on creating low-latency, real-time systems and scalable micro-frontend designs to support high-stakes financial operations. I have driven the adoption of a 30+ component enterprise React design system across multiple squads and led the migration of over 1,200 Selenium tests to Playwright, delivering enhanced stability for regression testing. I also worked on a cross-platform analytics widget integrating with Bloomberg Terminal and incorporated RAG-based LLM capabilities into trading workflows. More recently, I've been building an Agentic Development Life Cycle (ADLC) — a structured practice for AI instructions, reusable skills, and autonomous agents — including a local RAG pipeline that converts conversations into markdown knowledge files, cutting token usage and making context reusable across sessions instead of starting from scratch each time. Committed to fostering growth, I mentor engineers on React architecture and best practices in frontend development and automation.

Location

Bengaluru

AI stack

antigravity

claude code

claude

cursor

github copilot

claudecode

Work experience

Software engineer 3 at JPMorgan Chase & Co., Jan 2023 - Present · 3 yrs 8 mos, Bengaluru, Karnataka, India, •Prepared technical design for React/TypeScript trading platforms serving institutional users; established engineering standards and reusable patterns. •Built and drove adoption of a 30+ component enterprise React design system across multiple squads. •Drove Playwright adoption by building instruction-driven AI agents that handled ~70% of a 1,400+ test Selenium-to-Playwright migration fine-tuning agent behavior for accuracy rather than accepting raw output, and establishing low-flake, scalable e2e testing practices. •Pioneering an Agentic Development Life Cycle (ADLC) at JPMorgan Chase designing the workflows orchestrator, instructions, skills, and autonomous agents that turn AI tooling into a repeatable engineering discipline. Built a local RAG system that distills each conversation into structured markdown files, reducing token usage and making prior context instantly retrievable instead of re-explained. •Architected a cross-platform analytics widget (OpenFin FDC3) integrating with Bloomberg Terminal for 500+ institutional traders. •Integrated in-house RAG-based LLM capability into frontend workflows for natural-language auto-population of trading fields. •Mentored engineers on React architecture and frontend & automation best practices; Technical Mentor, Code for Good hackathon.

Software engineer 2 at JPMorgan Chase & Co., Mar 2020 - Jan 2023 · 2 yrs 11 mos, India, • Developed modular floating widgets for Forex trading platforms, enhancing feature development efficiency by 20%. • Built responsive trading workflows using React and RxJS, improving trade capture accuracy for institutional users. • Achieved a 40% reduction in client-side latency on high-frequency trading dashboards through virtualization and rendering optimization. • Enhanced frontend build performance by 15% via Nx monorepo adoption and CI optimization.

SDET at Oracle, Oct 2018 - Mar 2020 · 1 y 5 mo, Bengaluru Area, India, • Transitioned from a QA automation focus to frontend development, delivering high-impact production UI enhancements for Oracle CRM Fusion. • Authored and maintained end-to-end UI validation scripts, ensuring rock-solid functionality for a platform utilized by over 1,500 enterprise sales teams. • Architected automation workflows that successfully reduced manual regression testing efforts by 36 hours per release cycle.

Senior Project Engineer (SDET) at Wipro Limited, Jun 2015 - Oct 2018 · 3 yrs 5 mos, Bengaluru Area, India, • Developed a comprehensive automation suite for Charles Schwab, enhancing testing efficiency. • Automated critical workflows and financial validations, streamlining processes and reducing manual efforts. • Integrated the test suite into Jenkins CI/CD for rapid feedback to development teams.

Education

Bachelor of Technology (B.Tech.), Mechatronics, SRM Institute of Science and Technology (SRMIST)

Public links

github: https://github.com/sivaprasathm93