B.Tech CSE | CGPA 8.38 | Lovely Professional University
Hey there! I'm Abhay Tomar, a Computer Science Engineering student at Lovely Professional University with a CGPA of 8.38. I build things that matter — from AI-powered supply chain platforms to tamper-proof voting systems.
I work across the full stack — MERN, Python/Flask, Firebase — and I'm deeply passionate about cybersecurity. I'm ranked in the Top 2% globally on TryHackMe among 3M+ users, which tells you I'm not just writing code — I'm thinking about how it breaks too.
I thrive on fast, independent execution, building real products with real impact. My approach: learn fast, ship faster, and don't stop until it works exactly right.
Abhay Tomar is a Full Stack Developer and Cybersecurity Engineer based in India, currently pursuing B.Tech Computer Science Engineering at Lovely Professional University (LPU) with a CGPA of 8.38. He is skilled in the MERN stack (MongoDB, Express.js, React.js, Node.js), Python, Flask, Firebase, and machine learning with TensorFlow.js. As a cybersecurity professional, he is ranked Top 2% globally on TryHackMe among over 3 million users. Abhay has built production-grade projects including an AI-powered supply chain platform, a vehicle theft complaint system with AI image verification, and a tamper-proof college voting system. He is available for Software Development, Web Development, and Cybersecurity/Security Engineering roles from May 2026. He is located in Haryana, India, and open to remote work globally.
Whether it's a full-stack product, a security audit, or just a good conversation about tech — I'm always open. Let's connect and build something remarkable.
Abhay is a Full Stack Developer specializing in the MERN stack (MongoDB, Express.js, React.js, Node.js), Python/Flask for ML microservices, and Firebase for real-time apps. On the security side: Kali Linux, Metasploit, Wireshark, Nmap, and JWT/RBAC auth systems.
Yes. Abhay is open to full-time roles in Software Development, Full Stack Web Development, and Cybersecurity/Security Engineering from May 2026. He also takes freelance web development and security audit projects. Reach him at abhaytomar392004@gmail.com or LinkedIn.
Three major live projects: SupplySenseAI — MERN + Python/Flask ML platform with ~85% forecast accuracy; CyberGuard — vehicle theft system with TensorFlow.js AI verification and Firebase real-time tracking; CampusVote — tamper-proof voting system using face-api.js and SHA-256 chained hashing. All projects are live with GitHub + demo links.
Abhay is ranked in the Top 2% globally on TryHackMe among 3 million+ users (November 2025), username unmax. He actively participates in CTF challenges covering penetration testing, ethical hacking, web exploitation, and defensive security.
Abhay is pursuing B.Tech in Computer Science & Engineering at Lovely Professional University (LPU), Phagwara, Punjab, India, with a CGPA of 8.38. He has a strong academic background in data structures, algorithms, OS, networks, full-stack development, and cybersecurity.
Abhay holds: SEO Certification (HubSpot Academy, Feb 2026), Data Analytics with Power BI (NASSCOM, May 2025), Privacy & Security in Online Social Media (NPTEL, Dec 2025), and Advanced Computer Networks (LPU Internship, Jun–Jul 2025).
Contact Abhay via email at abhaytomar392004@gmail.com, phone at +91 84450 56568, LinkedIn, or use the contact form on this page. He is based in India and open to remote and hybrid roles globally.