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Naman Agarwal. SOFTWARE DEVELOPER
Web
Android
Backend
[naman@root]$
whoami
I am a passionate Full-Stack Developer with experience in the fintech space. For the last few years, I have been working at Juspay, a company that builds robust and scalable solutions for online payments. I specialize in building reliable and scalable solutions for real-world problems. My experience includes working with both front-end and back-end technologies. I thrive on challenges, adapt quickly to new technologies, and have a proven ability to make critical engineering decisions to deliver high-quality projects.
[naman@root]$
cat ./tools.json
Achievements
Awarded 'Survival Startup' title at the UBC Hackathon
Received a certificate for a research internship in Federated Machine Learning
Awarded a Letter of Recommendation from the Additional Director General of Uttar Pradesh, India.
Served as Tech Lead for the Android Club at VIT Chennai
Published an Android productivity app on the Google Play Store
[naman@root]$
ls ./experience
ZeeQ
  • Led the end-to-end development of the product, architecting both front-end and back-end from the ground up using Clean Architecture principles.
  • Developed over 40% of the back-end services, including a robust authentication and authorization system with role-based access control.
  • Translated business requirements into technical specifications and managed the database with Hasura ORM.
  • Technologies: Docker, Next.js, Node.js, GraphQL, Git, Notion.
Pharmiq
  • Developed the product's dashboard, implementing Redux for state management to reduce load times by over 5%.
  • Built and implemented core back-end authentication features, including role and user management middleware.
  • Technologies: Docker, Go, React, TypeScript, Python, Git, Jira.
GRP India
  • Delivered a desktop application to automate duty allotment to station personnel, reducing allotment time by 50%.
Zoho
  • Collaborated with the Zoho research team on privacy-preserving machine learning, with a focus on Federated Learning.
  • Technologies: TensorFlow, Python.
[naman@root]$
less projects.list
Text-to-Video Pipeline
Architected and built a fully autonomous Text-to-Video pipeline where AI agents generate complete videos from a single text prompt, eliminating the need for manual video editing.
  • Engineered AI-driven content analysis to ensure high thematic relevancy between the story and generated video clips.
  • Implemented AI models to autonomously maintain visual and narrative consistency across all video segments.
  • Empowered the AI to independently search and integrate real-time data and media via APIs.
  • Designed the core logic for AI-driven programmatic animations and overlays, creating dynamic and engaging video outputs automatically.
Family Tree Builder
Developed a tool to construct family trees from Indian electoral data. Scraped and processed over 25,000 data points to identify relationships spanning more than three generations.
Invoice Central
An invoice-generating web app for offline shops, featuring product listing, quantity management, and invoice creation/sharing. Optimized database queries with MongoDB's Aggregation pipeline, improving response times by 5%.
Confab Video Chat
Built a video chat web app using WebRTC and WebSockets for full-duplex communication. Implemented efficient tree-based data structures to increase multi-user video chat performance by 10%.
Face Recognition application
An attendance system using Face Recognition with support for IoT device integration via MQTT. Achieved high accuracy by leveraging Google's state-of-the-art Facenet deep learning model.
React Native Transition View
A lightweight and performant React Native package for creating animated transitions between screens and components, built on the Reanimated 2 library.
[naman@root]$
cat ./contact.js
Email
namanddev7@gmail.com
Phone
9651111184
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