I have been fortunate to work with some amazing teams. I have worked with startups as well as with some large enterprises. Here is a brief overview of my employment history.
I was very excited to join the first company and have the sense of employment. I travelled from Mumbai to Chennai for the training where I met lots of like minded people and enjoyed the campus, bachelors life and training days.
U.S. Bancorp is the parent company of U.S. Bank National Association, the fifth-largest commercial bank in the United States. Whereas Wipro Limited is a service based company based in India and one of th largest IT firms. US Bank is their client.
I contributed to the platform’s architecture, successfully scaling it from one partner to eight. My role involved refactoring several critical projects, enhancing performance and scalability, and collaborating across teams to deliver impactful solutions.
ReactJS TypeScript GraphQL Jest Webpack React Query Git Jenkins Docker Tealium Istanbul SonarQube Apollo Client GoLang NodeJS Oracle DB Prometheus gRPC Kafka NodeJS ExpressJS MongoDB Nodemailer Mongoose SASS
Scaled the product from 1 to 7+ enterprise partners by implementing multi-tenant architecture upgrades, performance tuning, and deployment optimizations.
Reviewed and refactored developers’ code, enforcing secure, modular, and microservice-oriented design patterns to improve maintainability and reduce vulnerabilities.
Authored 5+ technical documentation pages in Confluence, including migration guides, architecture notes, and template deprecations (SmartGen), ensuring consistent understanding across teams.
Collaborated with teammates to drive the migration from Angular to React, contributing to architecture decisions, redesigning legacy pages, and implementing scalable React components to modernize the front-end stack.
Designed and implemented complex business workflows, improving reliability and reducing production issues across core modules.
Built internal tools supporting multiple testing environments (DEV, UAT, IT, PERF, PENTEST, PREPROD, EMP) to streamline QA, reduce manual work, and standardize environment management.
Improved front-end performance by fixing layout regressions, eliminating redundant API calls, and optimizing rendering paths across devices.
Increased test coverage by 20%+ using React Testing Library and Jest, significantly improving code stability and reducing regression failures.
Saw my tech team grew from 6 to 20+
Mumbai, INFeb 2022 - Mar 2023
Full Stack Engineer atCelestia Technologies
My First Job
I was very excited to join the first company and have the sense of employment. I travelled from Mumbai to Chennai for the training where I met lots of like minded people and enjoyed the campus, bachelors life and training days.
Celestia Technologies was a product-driven startup focused on designing and delivering scalable, industry-grade software solutions.
I became part of their small, deeply technical, and tightly coupled engineering team, where I gained exposure across the entire development lifecycle. I worked on system architecture, database design, UI development, and deployment processes. The learning curve was intense, but the experience was enjoyable and extremely valuable.
Architected and deployed a secure multi-tenant document management platform enabling admins to share, sign, and manage documents with granular permissions (sign, approve, print, download, view, etc) through QR-code based authentication.
Engineered end-to-end document security infrastructure implementing on-the-fly encryption/decryption for cloud-stored files, comprehensive audit logging to ensure tamper-proof document workflows and regulatory compliance.
Designed intelligent KYC verification system that encrypts uploaded documents, hashes identification numbers for O(1) duplicate detection, and prevents fraudulent account creation—significantly reducing manual review overhead while maintaining security standards.
Developed robust authentication system supporting Google/Facebook OAuth, email/password registration, and OTP verification using JWT tokens and Bcrypt encryption, with role-based authorization for multi-role users.
Built dual API architecture implementing both REST and GraphQL endpoints with Sequelize ORM, enabling flexible data querying while maintaining backwards compatibility and supporting complex relational queries across MySQL and PostgreSQL databases.
Built responsive React-based frontend including real-time PDF manipulation, digital signature capture, and multi-format document rendering.
Integrated payment infrastructure implementing Razorpay and Stripe webhooks for subscription management, automated invoice generation using Puppeteer for PDF creation, and certificate generation with cryptographic signature verification and timestamping.
Orchestrated complete AWS deployment pipeline containerizing applications with Docker and deploying to ECS for backend services, Amplify for frontend hosting, with CloudFront CDN integration for optimized static content delivery and reduced latency.
Configured production-grade AWS infrastructure including IAM security policies, Route 53 domain management, Certificate Manager for SSL/TLS, Amazon SES for transactional emails, S3 with presigned URLs for secure file access, and EC2 microservices—ensuring scalable, highly available architecture.
Implemented email automation system using MJML templates and Nodemailer to deliver branded, responsive transactional emails for order notifications, QR code distribution, and subscription updates across the platform.
We got the Air Quality Index Project and we thought it would be too easy. But the struggle began as we started to collect the data. Even the data was not perfect and our model was failing badly because there were many null and empty values. We can't ignore all null values or else we will be left with very small data, so we performed different types of data interpolation and managed to make a good model. Finally after spending a handsome amount of time we created our model from the scratch and tested different algorithms to find the highest accuracy keeping in mind that the model should not be overtrained or undertrained.
INeuron Intelligence is an Indian-based ed-tech company specializing in data science, machine learning, and other emerging technologies.
They started their first internship program where they invited college students to get hands-on industry graded projects. I was one of them.