Shubham
Rawat
React · TypeScript · AWS · Java Spring Boot · 3.5 Years in Fintech
Currently: exploring AI agent frameworks · building with AWS Bedrock · reading DDIA
01
Experience
FIS Global
WorkingSoftware Engineer II
Jul 2025 – Present
Noida, India · Full-time
Technologies & Tools
What I've done
- ▪Architected migration of Digital Engagement apps from on-prem servers to AWS S3 + CloudFront, reducing infrastructure costs by ~80% and improving scalability.
- ▪Engineered reusable UI framework components adopted org-wide, standardizing design and reducing code duplication; accelerated feature delivery by ~60%.
- ▪Authored detailed Storybook documentation for legacy frontend framework, reducing onboarding/debugging time by ~60%.
- ▪Fixed UI framework security vulnerabilities, resolving 90% of identified issues through systematic testing and code remediation.
- ▪Optimized React application performance using useMemo, useCallback, React.memo, and React.lazy, reducing render times.
- ▪Implemented WebSocket integration using Socket.io for real-time frontend data updates.
- ▪Built a chatbot for Digital Admin using AWS Bedrock and S3 vector store for embeddings.
- ▪Developed REST APIs with Java Spring Boot for centralized user management across all applications.
TSYS – Global Payments
Associate Software Engineer
Jul 2022 – Jul 2025
Noida, India · Full-time
Technologies & Tools
What I've done
- ▪Developed SaaS modules (e.g., Digital Admin) with a config-driven UI enabling scalable user/application management.
- ▪Led 'Figma-to-Code' POC integrating Figma MCP server + GenAI, reducing developer effort for new screens by ~60% and improving productivity by ~70%.
- ▪Built 'Determinator (Magnon)'—an internal UI code editor running proprietary scripts—streamlining internal team workflows.
- ▪Designed and implemented User Management Wave screens including Role Association view and Edit functionality.
- ▪Delivered end-to-end Microsite development with comprehensive testing coverage including Jest unit tests and Cypress E2E implementation.
Bravo Award for exceptional dedication and taking on additional project responsibilities beyond core assignments.
Education
Amity University
CGPA: 8.69 / 10B.Tech in Computer Science & Engineering
2018 – 2022
Noida, India
Relevant Coursework: Data Structures & Algorithms, Databases, Operating Systems, Computer Networks, Machine Learning, Data Mining, Advanced Algorithms.
02
About
Frontend Engineer with 3.5 years of experience building fintech products at TSYS. Specialized in React/TypeScript and cloud architecture. Reduced infrastructure costs by 80% through AWS migration and accelerated team delivery by 60% with reusable component systems. Strong focus on performance, scalability, and developer experience.
I thrive at the intersection of design and engineering — building systems that are fast, accessible, and a joy to maintain. Beyond React and TypeScript, I have hands-on AWS cloud experience and have led GenAI tooling initiatives that measurably moved the needle.
Location
Noida, India
Experience
3.5 Years
Website
shubhamrawat.devStatus
Open to SDE-2 / Senior Frontend — remote or hybrid (Noida · Gurgaon · Bengaluru)
03
Skills
04
Projects
Selected work — case studies from TSYS and personal builds
Figma-to-Code GenAI POC
60% effort reduction · 70% productivity gain
Problem
Designers and developers were manually translating Figma designs into React components — a slow, error-prone process that consumed significant sprint capacity.
Approach
Built a proof-of-concept pipeline using Claude (MCP server + GenAI) to parse Figma JSON and auto-generate production-ready React/TypeScript components with Tailwind styling.
Outcome
Demonstrated 60% reduction in design-to-code effort and 70% improvement in delivery speed. Adopted org-wide as a workflow accelerator.
AWS Bedrock Internal Chatbot
Enterprise Q&A tool · RAG pipeline on AWS
Problem
Teams were spending time searching across internal documentation, Confluence pages, and wikis — context-switching that fragmented developer focus throughout the day.
Approach
Designed and built an internal RAG-based chatbot using AWS Bedrock (Claude models), S3 document storage, and a React frontend with chunking, embedding, and retrieval pipeline.
Outcome
Delivered a working internal tool that reduced documentation lookup time significantly. Built end-to-end as a solo initiative within the GenAI tooling program.
Multi-Style Component Library
shadcn · Neobrutalism · Flowbite — one library
Problem
Developers bouncing between design systems waste time context-switching — each library has its own syntax, docs, and copy-paste flow, making it painful to prototype with different visual styles.
Approach
Built a component library where the same UI primitives are rendered in multiple design languages (shadcn, neobrutalism, Flowbite). Each variant ships as plain HTML + CSS you can copy and drop into any project — no framework lock-in.
Outcome
A live, browsable library that lets you grab a component in your preferred visual style and paste it directly — no installs, no config, no design system opinions forced on you.
05
Contributions
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Public contributions
Most day-to-day work lives in private TSYS repos. This graph reflects personal and open-source activity only.
View on GitHub06
