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Full Stack Engineer with less than a year in Next.js, NestJS & AWS
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Assessing your cultural and operational fit
Full Stack Developer with strong hands-on experience in Next.js, NestJS, and AWS, specialized in building production-grade applications with offline capabilities and real-time features. Passionate about writing clean code, solving deployment challenges with Docker, and optimizing backend performance.
Dhanalakshmi Srinivasan University
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
YEBSYS
Full Stack Developer Intern
August 1, 2024 – December 1, 2024
Coimbatore, Tamil Nadu, India
TriaGen — Incident Management System
June 27, 2026 – Present
Built a backend system to manage server outages and incidents, deployed on AWS EC2 with Nginx as a reverse proxy. Implemented real-time chat for Admin and Member roles using Socket.io (WebSockets) for instant coordination. Configured AWS S3 with Pre-signed URLs to handle file uploads directly from the client, reducing load on the backend server. Containerized the application using Docker to ensure consistent behavior across development and production environments. Secured sensitive endpoints using JWT-based authentication and Role-Based Access Control (RBAC) to restrict admin capabilities.
TaskGlyph — Offline-First Workspace
June 27, 2026 – Present
Developed a task management application that functions completely offline using IndexedDB and Dexie.js. Built a background synchronization engine that pushes local changes to the PostgreSQL database once the device reconnects. Designed a conflict resolution strategy to handle data discrepancies between local storage and the server state. Decoupled the UI from network requests, resulting in instant interface updates regardless of internet speed. Enforced strict data validation using Zod schemas on both client and server to prevent corrupt data from breaking the sync process.
Rephrase AI — Multi-LLM Wrapper
June 27, 2026 – Present
Integrated OpenAI, Gemini, and Hugging Face APIs to create a tool that summarizes large PDF documents. Built a text chunking pipeline to handle PDFs larger than token limits (up to 20MB) without crashing the server. Implemented an automated failover system: if one AI provider is down or rate-limited, the request automatically switches to another provider. Cached generated summaries in Redis to prevent redundant API calls for frequently accessed documents, reducing API costs.
Runner-Up at AlgoBharat Hackathon
Unknown
June 1, 2026 – Present
Hack-O-Verse 2024
Unknown
January 1, 2024 – Present
Quantum-Inspired Deep Learning for Financial Data
IJARIIT
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including an incident management system, an offline-first workspace, and an AI wrapper, showcases a broad interest in different problem domains and a willingness to tackle varied technical challenges. Participation in hackathons and a published research paper indicate a proactive and innovative mindset. The remote internship experience suggests adaptability. The technologies used across projects (Next.js, NestJS, AWS, Docker, Redis, PostgreSQL) align well with modern full-stack development environments, indicating a good fit for a dynamic tech culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through projects like implementing conflict resolution strategies for offline-first applications and designing automated failover systems for API integrations. Their experience with Docker and GitHub Actions indicates an understanding of operational best practices and CI/CD. The project descriptions suggest an ability to work independently on complex features, though direct team collaboration experience beyond 'Team Lead' in academic projects is not explicitly detailed.