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Full Stack Engineer with 1+ years in MERN Stack & AI-driven production applications
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Assessing your cultural and operational fit
Full Stack Developer (MERN) and Ex-TCS L3 Engineer with hands-on experience building production-ready applications, integrating third-party APIs, and designing scalable backend architectures. Skilled in JavaScript, React, Node.js, Express, MongoDB, and cloud integrations. Possess strong debugging, automation, and system-thinking skills from 1.5 years in TCS supporting mission-critical environments. Pursued M.Tech (CSE) at JNTU Hyderabad and seeking Full Stack / SDE roles.
JNTU Hyderabad
Master of Technology · Computer Science
August 1, 2023 – Present
Karunya Institute of Technology and Sciences
Bachelor of Technology · Computer Science
August 1, 2018 – June 30, 2021
Sri Chaitanya Junior College
Intermediate (MPC)
June 1, 2015 – May 31, 2017
Sri Laxmi High School
State Board
June 1, 2014 – May 31, 2015
Tata Consultancy Services
Associate Software Engineer (L3 Support & Automation)
May 1, 2021 – October 1, 2022
Hyderābād, Telangana, India
Personalized Video Generator
June 28, 2026 – Present
Engineered an AI-driven pipeline to generate personalized lip-synced videos using Sync.so templates and ElevenLabs TTS. Built backend with Express.js supporting asynchronous job handling, retry logic, and secure REST API endpoints. Integrated Cloudinary for video/audio uploads using signed URLs and optimized media delivery. Developed a responsive React frontend for script input, actor selection, preview generation, and error handling. Added WhatsApp Cloud API integration to automatically deliver final video links directly to users.
Study Notion
June 28, 2026 – Present
Developed a full-fledged EdTech platform with role-based access (Admin/Instructor/Student). Implemented JWT authentication, bcrypt password hashing, and protected routes. Designed MongoDB schemas for courses, lectures, user profiles, ratings, and progress tracking. Built APIs for course creation, video playlists, student progress, filtering, and pagination. Built fully responsive UI using React, Tailwind, and modular component design.
Cultural Fit Analysis
The candidate's project diversity, ranging from an AI-driven video generator to an EdTech platform, shows initiative and a broad interest in applying full-stack skills to different domains. Their pursuit of a Master's degree while also having professional experience demonstrates a commitment to continuous learning and growth. The L3 support experience suggests an ability to work in a structured environment and collaborate with cross-functional teams, which aligns well with many engineering cultures.
Soft Skills & Operational Fit
The candidate's previous role as an Associate Software Engineer in L3 Support indicates strong problem-solving, analytical, and collaboration skills, crucial for operational fit. Their ability to diagnose performance issues and drive root-cause analysis suggests a proactive and detail-oriented approach. Project descriptions are clear, indicating good communication of technical work.