# Manoj Palasamudram > Full Stack Software Engineer specializing in React & Distributed Systems | 5+ yrs building scalable web apps | M.S. CS, RIT Location: Rochester, New York, United States Profile: https://flows.cv/manojpalasamudram Full-stack software engineer with over 5 years of experience delivering scalable web applications, developer tools, and AI‑augmented platforms. At LSEG, I architected an enterprise IDE‑extension ecosystem across VS Code and JupyterLab with embedded LLM agents, empowering more than 200 financial analysts through smart code completion, auto‑debugging, and AI‑driven workflow generation while boosting engineering productivity by 45%. Previously at Vymo, I led the development of a high‑performance React web app serving 65+ global enterprises, achieving sub‑2‑second response times and supporting over one million daily active users. Skilled in system design, microservices, distributed systems, and modern DevOps practices. Proficient in React, TypeScript, Python, Node.js, and Kubernetes. Passionate about innovation, mentoring teams, and delivering user‑centric solutions that scale. ## Work Experience ### Software Engineer @ LSEG Jan 2024 – Present | Buffalo, NY • Architected an agentic enterprise AI coding assistant (“LSEG AI Assistant”) for VS Code and JupyterLab; engineered a LangGraph-driven orchestration layer that interfaces with an internal Model Context Protocol (MCP) server, allowing the LLM agent to securely execute internal tools and fetch backend data context. • Designed a Retrieval-Augmented Generation (RAG) pipeline utilizing vector embeddings, and evaluated Parameter-Efficient Fine-Tuning (PEFT/LoRA) strategies to ground LLM suggestions in proprietary financial codebases, significantly reducing model hallucinations. • Architected complex, state-driven frontend applications utilizing advanced React patterns (custom hooks, Context API) and strict TypeScript; built highly reusable component libraries that seamlessly bridge web and IDE Webview environments. • Engineered highly responsive, data-intensive user interfaces optimized for real-time financial data streams; heavily tuned the browser rendering pipeline, DOM reconciliation, and bundle sizes to maintain strictly sub-100ms interaction latency. • Spearheaded the DevEx architecture for LSEG’s quantitative analytics platform by designing a scalable TypeScript monorepo, eliminating technical debt and accelerating cross-platform feature delivery. • Optimized LLM inference and system performance by implementing a resilient multi-tier caching strategy (8-hour persisted ICC data, in-memory package cache), drastically reducing redundant API calls. • Owned end-to-end security and release engineering; designed OAuth 2.0 + PKCE identity flows within IDE constraints, established GitLab CI/CD pipelines with SAST scanning, and monitored AI system health via Application Insights. ### Teaching Assistant @ Rochester Institute of Technology Jan 2023 – Jan 2023 | Rochester, New York Metropolitan Area ### Graduate Assistant @ Rochester Institute of Technology Jan 2022 – Jan 2023 | Rochester, New York Metropolitan Area ### Web Developer, PHT180 @ Rochester Institute of Technology Jan 2021 – Jan 2022 | Rochester, New York, United States - Front end: Designed a website for over 18000 university students using Drupal. - Management: Associated with five professors to improve the website’s user experience. ### Software development engineer @ Vymo Jan 2018 – Jan 2021 | Bengaluru Area, India Led the development of a scalable, modular ReactJS web application serving 65+ enterprises worldwide, achieving high availability and performance. Designed efficient REST API integrations to ensure UI response times under 2 seconds. Built cross-platform mobile applications with offline capabilities, boosting adoption by thousands of users and maintaining over one million daily active users. Ensured high SEO performance and accessibility through Chrome Lighthouse best practices, consistently scoring above 80% across key metrics. Collaborated with software architects on iterative designs for 8+ microservices, delivering enhanced solutions tailored to enterprise client needs. Conducted large-scale software deployments and robust testing to ensure 100% module functionality and seamless releases. Coordinated with project managers to set realistic milestones and deliver projects on time and within budget. Partnered with DevOps teams to improve continuous integration and deployment pipelines using Docker and Kubernetes, enabling rapid and reliable rollouts. ### Member of Technical Staff @ Vymo Jan 2018 – Jan 2021 • Architected and scaled high-throughput microservices supporting 65+ enterprise customers (including AIA and HDFC) and over 1M+ Daily Active Users, maintaining 99.99% uptime utilizing Node.js, Kafka, Redis, and PostgreSQL. • Engineered a self-serve enterprise onboarding platform that automated tenant provisioning and complex workflow configurations; reduced required engineering hours by 80% and accelerated go-live timelines from weeks to days. • Optimized system performance for peak loads (20k+ RPM bursts) by implementing Redis caching, batched database writes, and advanced connection pooling, improving overall API latency by 45%. • Mentored junior engineers on distributed system patterns, schema design, and clean code practices, directly contributing to a 20% increase in team delivery velocity. • Delivered full-stack user features using React and Express, translating complex enterprise requirements into intuitive, mobile-first designs that increased field agent engagement by 25%. ## Education ### Master of Science in Computational Science Rochester Institute of Technology Jan 2021 – Jan 2023 ### Bachelor of Engineering (BE) in Electrical, Electronics and Communications Engineering Visvesvaraya Technological University Jan 2013 – Jan 2017 ### Jawahar Navodaya Vidyalaya - JNV Jan 2006 – Jan 2011 ## Contact & Social - LinkedIn: https://linkedin.com/in/manojpls - Website: https://manojp.me/ - Website: https://divergent-paths-477923148978.us-west1.run.app --- Source: https://flows.cv/manojpalasamudram JSON Resume: https://flows.cv/manojpalasamudram/resume.json Last updated: 2026-03-29