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Sr. Fullstack Developer with 4+ years in React.js & Java/Spring Boot
Results-driven Senior Full-Stack Developer with 4+ years of experience building scalable, high-performance web applications in the fintech domain. Currently a Technology Analyst at Infosys, delivering mission-critical investor-servicing platforms for Capital Group one of the world's largest asset managers. Deep expertise in React.js, Redux Toolkit, Context API, and RESTful API integration, paired with solid backend experience in Java, Spring Boot, and Microservices. Delivered 30+ production UI screens, 20+ reusable components, and 40% UI performance improvement while maintaining 95%+ sprint delivery rate. Actively leverages AI tools (GitHub Copilot, ChatGPT) to accelerate development, automate workflows, and resolve security vulnerabilities. Seeking a Senior React / Full-Stack Developer role in Pune, Gurugram, Noida, or Delhi.
Rajarshi Rananjay Singh Institute of Management and Technology
B.Tech · Computer Science and Engineering
August 1, 2016 – June 30, 2020
Infosys Limited
Technology Analyst - Frontend / Full-Stack Developer
June 1, 2022 – Present
Pune, Maharashtra, India
InKnowTech
Network Support Engineer
July 1, 2021 – May 1, 2022
India
AFS Digital Investor Servicing Platform
June 18, 2026 – Present
Large-scale fintech web application enabling investors to view, calculate, and understand tax-related investment data. Delivered 30+ UI screens including Interactive Tax Worksheets that calculate state tax exclusions for mutual fund dividends. Built RESTful APIs for portfolio management and Buy/Sell/Exchange transaction engine using Spring MVC and Java. Achieved ~40% UI performance improvement through systematic optimisation and code refactoring.
AI-Powered Weekly Status Report (WSR) Automation Tool
June 18, 2026 – Present
Identified a recurring team pain-point: generating the Friday WSR required 2-3 hours of manual effort each week copying Jira issues, formatting tables, and drafting emails by hand. Built an automation tool using GitHub Copilot and ChatGPT as AI pair-programming partners to rapidly design the solution and figure out Jira REST API pagination. • Auto-pulls live sprint data from Jira, groups issues by team member, and tracks reassignments through changelog analysis. • Generates a fully formatted, ready-to-send email and opens it directly in Outlook all in one click, cutting report preparation from 2-3 hours to under a minute.
Security Vulnerability Remediation with GitHub Copilot
June 18, 2026 – Present
Led a targeted effort to lower the project's critical and high Snyk vulnerability count. Leveraged GitHub Copilot as an AI pair-programming assistant to accelerate root-cause analysis, identify safe dependency upgrades, and apply code-level fixes — significantly reducing the attack surface of the production codebase.
Trade Settlement Monitoring System
June 18, 2026 – Present
Built during an Infosys internal AI workshop using GitHub Copilot as the primary development accelerator. The system simulates real-world financial trade settlement workflows: • Real-time tracking of financial trade settlements with SLA breach detection and automated rejection on threshold violations. • Admin approval workflow with role-based access and audit trail. • Live notifications for settlement status changes, SLA warnings, and exception alerts.
Cultural Fit Analysis
The candidate's project diversity, ranging from large-scale professional fintech platforms to personal automation tools and academic simulations, indicates a strong drive for continuous learning and problem-solving. Their active adoption of AI tools like GitHub Copilot and ChatGPT for various tasks (pair programming, security remediation, workflow automation) suggests an innovative and adaptable mindset, aligning well with a culture that values efficiency and modern development practices. The fintech domain experience is a significant plus for relevant roles.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through experience in Agile/Scrum, leading code reviews, mentoring junior developers, and coordinating production deployments. Their proactive use of AI tools for efficiency and security remediation indicates a forward-thinking and problem-solving mindset. The 95%+ sprint delivery rate highlights reliability and commitment.