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Full Stack Engineer with 1+ years in AI/ML & Data Analytics
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Assessing your cultural and operational fit
B.Tech Computer Science (IT) graduate from ABES Institute of Technology (2026, CGPA 7.5) with hands-on experience in full-stack web development, data analytics, AI/ML, and systems engineering. Built five real-world projects spanning web platforms, machine learning, and distributed systems. Completed internships at NVIDIA and Bharat Electronics Limited. Holds certifications from Google and Infosys Springboard. Strong communicator, fast learner, and collaborative team player seeking a role where technical breadth drives real-world impact.
ABES Institute of Technology
B.Tech · Computer Science & Engineering (IT)
August 1, 2022 – June 30, 2026
HariHar Singh Academy
Intermediate (Class XII) · CBSE
June 1, 2021 – May 31, 2021
HariHar Singh Academy
High School (Class X) · CBSE
June 1, 2019 – May 31, 2019
Bharat Electronics Limited (BEL)
Quality Assurance Intern
January 1, 2025 – Present
India
NVIDIA
GRIL Trainee
January 1, 2023 – June 1, 2024
India
PlexusTalk - Decentralised VoIP Communication System
January 1, 2025 – June 1, 2026
Designed and built a fully peer-to-peer VoIP system eliminating centralised server dependency, reducing call latency by 38% over traditional centralised architectures. Implemented SIP signalling over raw TCP/UDP sockets with NAT traversal and packet-loss recovery — applying deep practical knowledge of networking protocols. Containerised the full stack with Docker and docker-compose for reproducible deployments; deployed on a Linux VPS with UFW firewall rules and Bash setup automation. Built a Python analytics module capturing call quality metrics (jitter, MOS score, packet loss) into PostgreSQL, with Matplotlib dashboards for trend analysis.
WeSafe - Human Safety Application
January 1, 2024 – December 31, 2024
Built a real-time safety app with GPS tracking, SOS alerts, and location analytics to identify high-risk zones — backend deployed as a Linux service with auto-restart on failure. Processed 10,000+ geolocation data points; built a K-Means clustering risk model achieving 87% classification accuracy to categorise area safety levels. Designed a Firebase event pipeline for real-time data ingestion and sub-second SOS alert delivery; created a Power BI dashboard for incident density and demographic risk analysis.
PG Rental Platform — Full-Stack Web Application
January 1, 2023 – December 31, 2023
Built a full-stack PG and rental listing platform where landlords can post properties and tenants can search, filter, and contact owners — end to end from UI to database. Designed a RESTful backend with Node.js and Express, MongoDB for property and user data, and JWT-based authentication for secure login and role-based access (tenant vs landlord). Implemented search and filter functionality by location, rent range, and amenities using MongoDB queries, improving listing discoverability for users. Deployed frontend on Vercel and backend on Render; managed environment variables and API keys securely using .env configuration.
Google Digital Unlocked - Fundamentals of Digital Marketing
January 1, 2026 – Present
Google Analytics Certification
Google Skillshop
January 1, 2025 – Present
Python Programming
Infosys Springboard
January 1, 2024 – Present
Artificial Intelligence Foundation
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of interests, from decentralized communication to human safety and rental platforms, indicating a broad technical curiosity. The NVIDIA internship suggests an interest in cutting-edge technology and a drive for continuous learning. The certifications further reinforce a proactive learning mindset. The academic nature of all projects, however, means real-world team dynamics and corporate cultural fit are yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations (e.g., NAT traversal in VoIP). Their project descriptions highlight team collaboration and adaptability. The NVIDIA trainee program and BEL internship indicate a structured approach to learning and quality control, suggesting good operational fit and a professional work attitude.