About
Software engineer with hands-on experience across full-stack development, agentic AI systems, and automated deployment pipelines. Currently at Capgemini, engineering modules for an enterprise insurance platform that serves 13 million users. Outside of that, I independently architect AI-powered platforms that connect large language models, microservices, and CI/CD infrastructure — built to be production-ready from day one, not just demo-ready.
I think at the product level before writing a line of code. My focus is on systems that are scalable, AI-augmented, and maintainable — not just functional.
Open to backend, full-stack, and AI engineering roles where I can contribute meaningfully from day one.
Experience
Software Engineer · Capgemini
Hyderabad, IndiaEngineered Angular UI modules for an enterprise insurance platform serving 13M+ users, delivering end-to-end policy and claims workflows across Agile sprints. Underwent rigorous technical training in Java Core and Spring Boot backend development. Integrated RESTful APIs into Angular services and partnered with backend engineers through daily standups and code reviews to ship features on schedule with zero regressions. Triaged and resolved production defects by diagnosing root causes, applying targeted fixes, and validating resolutions to maintain platform stability at scale.
Ranked 12 / 1,000+ contributors program-wide by shipping full-stack features across 10+ repositories over 4 months. Migrated 3 projects from React to Next.js, implementing SSR and restructuring codebases to cut page-load time by 30%. Closed 50+ bugs and merged 100+ pull requests across collaborative repos using MERN Stack, Next.js, and TypeScript.
Projects
Architected a microservices platform (Spring Boot + Angular SSR + FastAPI) containerised with Docker Compose for full dev/prod environment parity. Integrated Google Gemini AI to parse veterinary PDFs, extracting structured health data and returning eligibility decisions as validated JSON. Secured all API surfaces with JWT authentication, HTTP-only cookies, and SSR-compatible Bearer token forwarding; automated CI/CD via GitHub Actions to GHCR and DigitalOcean.
Built a full-stack platform enabling students to create portfolios, showcase projects with GitHub API-enriched metadata (descriptions, languages, topics, collaborators), and discover peers via search and filters. Shipped a likes / engagement system to surface trending work, driving platform interactivity and user retention.
Trained a supervised classification model predicting addiction risk, achieving 81% accuracy on a 13,000-sample test set. Benchmarked Random Forest, SVM, and Logistic Regression; applied feature selection and data cleaning to reduce overfitting and improve generalisation.
Designed and developed a production school website for BS Senior Secondary, currently live and serving the institution. Built with Next.js and TailwindCSS for performance and responsive design across devices. Delivered a clean information architecture covering admissions, academics, and contact — prioritising usability for a non-technical audience.