2.5+ years engineering backend systems across fintech, e-commerce, and AI-native products — payment automation, event-driven microservices, RESTful APIs, and secure authentication (JWT, OAuth 2.0), backed by cloud-native infrastructure on AWS. I can own the full stack end-to-end when a project needs it, but backend systems design is where I go deep.
I'm a backend-focused developer with 2.5+ years of experience designing scalable systems across financial services and e-commerce, comfortable owning the full stack when a project calls for it. As SDE-1 at Fortune Ai Technology, I lead development of payment automation systems — Razorpay Autopay/e-mandate workflows, a resilient Node.js worker for bulk transaction orchestration — and the RESTful APIs and microservices behind them.
My core expertise is backend API design and cloud deployment, with hands-on experience building AWS-based scalable infrastructure. I work with event-driven architecture, microservices, and secure authentication systems (JWT, OAuth 2.0) for fintech and enterprise applications, and I pick up frontend and DevOps work end-to-end whenever a team needs it.
Previously at Questera AI, I built the core backend for an AI-powered no-code platform that generates full-stack applications from natural language prompts — engineering secure auth flows and CI/CD pipelines with a 99%+ production release success rate.
2025 – 2027 | Manipal University
Oct 2022 – Dec 2023 | Masai School, Bengaluru
2019 – 2021 | NIIT, Delhi
Engineered high-performance payment automation workflows using Razorpay Autopay mandates and e-mandates, and built a resilient Node.js worker class for bulk transaction orchestration, increasing throughput by 30%. Automated financial data pipelines by parsing net-banking datasets and bank statements, cutting manual effort by 40% and improving loan risk assessment accuracy. Led frontend development of customer-facing and CRM portals with Next.js, SWR, TailwindCSS, and Redux, reducing First Meaningful Paint by 35%. Architected RESTful APIs and microservices on PostgreSQL, MySQL, and MongoDB, optimized with Redis caching for low-latency, high-throughput performance. Deployed cloud-native infrastructure on AWS (S3, EC2, Lambda, SQS) and DigitalOcean, and built CI/CD pipelines with Docker and Git for automated, repeatable production releases.
Built the core backend for an AI-powered no-code platform enabling full-stack application generation from natural language prompts. Engineered secure authentication and authorization flows with JWT and OAuth 2.0 for robust role-based access control. Built responsive, mobile-first UI components with cross-browser compatibility, boosting user engagement by 24%. Orchestrated CI/CD pipelines and containerized deployments using Docker and Git, achieving a 99%+ production release success rate. Integrated backend APIs and microservices with frontend applications, and implemented modular, reusable code structures to reduce future development time.
Engineered HIPAA-compliant APIs for Patient Health Information (PHI) management adhering to ABDM standards for healthcare interoperability. Implemented a consent management system aligned with NDHM guidelines. Architected secure storage solutions using Google Cloud Storage and Azure Blob with AES-256 encryption for PHI data, and developed asynchronous callback handlers for real-time data exchange between healthcare providers.
greta.questera.ai
Core backend for Questera's AI-powered no-code platform — turns a natural-language prompt into a running full-stack app. I built the project/workspace CRUD system backing every generated app, a bi-directional GitHub API integration for repository sync and commit tracking, and type-safe Express/TypeScript APIs with validation middleware. Also engineered the auth layer (JWT + OAuth 2.0) and an extensible architecture designed to plug in additional AI agents across the Questera ecosystem.
iqac.osmania.ac.in
Full-stack institutional management system for Osmania University's IQAC, serving Faculty, HOD, Principal, and Admin roles through a single portal. Built a config-driven generic CRUD registry so new NAAC/AQAR data tables (qualifications, research papers, placements, meetings, etc.) can be added by declaring a schema once, backend and frontend. Implemented an admin analytics dashboard with hierarchical College/Department/Faculty drill-down, an AAA annual-report review workflow between HODs and Principals, and role-based auth across five account types. Tracked down and fixed a production data-integrity bug where non-atomic account-creation writes let student accounts get permanently stuck with the Faculty role and leak into admin faculty listings — fixed at the write path and hardened every faculty-scoped query as defense in depth.
A second, independently branded deployment of the same UIMS platform built for Osmania University — multi-tenant from the start, so onboarding SRTMUN meant new branding and config rather than a rewrite. Live in production at real institutional scale: 16 schools, 177 faculty, 2,600+ students, and thousands of tracked research papers, projects, and placements.
SDE Intern (6 months) on this Google for Startups-backed healthcare AI platform. Engineered HIPAA-compliant APIs for Patient Health Information (PHI) management adhering to ABDM standards for healthcare interoperability, and implemented a consent management system aligned with NDHM guidelines. Architected secure storage using Google Cloud Storage and Azure Blob with AES-256 encryption, plus async callback handlers for real-time data exchange between healthcare providers.
Extended Shadcn UI to build Greta UI, a reusable, accessible, and customizable component library built with React, Tailwind, and Radix primitives. A scalable, open-source UI foundation that extends Shadcn's structure but aligns more closely with the Greta ecosystem.
bhavyakhatri417@gmail.com
+91 8800104504
@bhavya022
@bhavya22