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sivaprasathm93/README.md

Sivaprasath Mohandass

Software Engineer 3 @ JPMorgan Chase β€” frontend architecture for institutional trading platforms. 10+ years building low-latency, real-time systems where a dropped frame costs money.

React Β· TypeScript Β· RxJS Β· micro-frontends Β· test automation at scale

LinkedIn Email


πŸ”­ Currently building

An Agentic Development Life Cycle (ADLC) β€” a structured practice for working with coding agents: versioned instructions, reusable skills, and autonomous agents that don't start from zero every session.

The piece I'm most interested in is a local RAG pipeline that turns conversation transcripts into markdown knowledge files β€” so context is written down once and reused, instead of being re-established (and re-paid for, in tokens) at the start of every session.

Writing it up properly is next. ⭐ Follow if that's your kind of problem.


πŸ’Ό What I've shipped

  • Institutional trading platforms β€” real-time, low-latency UIs for high-stakes financial operations, built on scalable micro-frontend architecture.
  • Enterprise React design system β€” drove adoption of a 30+ component library across multiple squads. The components were the easy part; the adoption was the work.
  • 1,200-test migration, Selenium β†’ Playwright β€” led the move and the resulting stability gains in regression testing.
  • Bloomberg Terminal integration β€” cross-platform analytics widget.
  • RAG-based LLM capabilities embedded into live trading workflows.
  • Mentoring β€” React architecture and frontend/automation practice for engineers on my teams.

🧰 Core stack

Frontend React, TypeScript, RxJS, Redux, React Hook Form, Webpack, micro-frontends
Testing Playwright, Jest, Selenium, ESLint, SonarQube
Backend & data Java, Node.js, MongoDB, MySQL
Platform AWS, Jenkins, GitHub Actions, Nginx, Splunk
AI/ML RAG pipelines, LLM integration, agentic workflows

πŸ“Œ Selected work

resume-match-score β€” Chrome extension that scores a resume against any live job posting. Client-side PII scrubbing before anything reaches an LLM, a BYOK zero-backend architecture, and a deterministic fallback engine so it degrades gracefully instead of breaking when the API rate-limits.


πŸ“« Get in touch

Happy to talk about frontend architecture at scale, test automation migrations, or agent tooling.

LinkedIn Β· Email

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  1. resume-match-score resume-match-score Public

    AI-powered Chrome extension that scores your resume against any live job posting. Client-side PII scrubbing, BYOK, works offline.

    JavaScript 1

  2. pdf-extractor pdf-extractor Public

    Extracts transaction data from bank statement PDFs (incl. password-protected) and exports to Excel. React 19 + Nx frontend, Flask + PyMuPDF backend.

    TypeScript 2

  3. tax-app tax-app Public

    Income tax calculator with real-time slab-by-slab breakdown. React, TypeScript, Tailwind CSS.

    TypeScript 1

  4. AutomationTesting AutomationTesting Public

    Hybrid Selenium test automation framework in Java β€” Maven build, TestNG suites, Extent HTML reporting.

    Java

  5. LocalContextManager LocalContextManager Public

    Local RAG pipeline that turns LLM conversations into reusable Markdown knowledge files β€” kills the cold-start problem and cuts token spend. Core engine for an Agentic Development Life Cycle.