Technical Architect with experience in secure infrastructure deployment and management, specializing in bridging the gap between AI model development and real-world system integration for IoT and competitive Cybersecurity platforms.
I'm a passionate B.Tech Computer Science (Artificial Intelligence) student at Adi Shankara Institute of Engineering and Technology, Kerala, with a strong focus on building practical, user-centered innovations.
As a top 5% NPTEL performer and team leader, I've delivered real-world projects spanning healthcare technology, media processing, conversational AI, and cybersecurity. My work includes leading the development of Ayunex, an early-stage startup focused on AI-powered elderly safety systems, and being shortlisted for prestigious programs like the AICTE Productization Fellowship and YUKTI Innovation Challenge 2025.
I thrive in building scalable full-stack solutions, IoT hardware prototypes, and DevOps infrastructure. From architecting national-level CTF competitions to completing Stanford's Machine Learning Specialization, I'm committed to pushing the boundaries of technology through continuous learning and practical application.
When I'm not coding, you'll find me maintaining my home lab with virtualized servers, Docker containers, and enterprise-grade monitoring tools—constantly learning and innovating.
NPTEL Winter Internship 2025 - Currently a Winter Intern at IIT Ropar, focusing on full-stack development using the MERN stack to build scalable, high-performance web architectures that complement complex backend systems. Selected for this prestigious 4-week virtual internship program based on Elite + Silver performance (Top 5%) in "Joy of Computing Using Python" course.
Duration: December 22, 2025 - January 18, 2026 | Focus: MERN Stack Development | Mode: Virtual
View Weekly ProgressSupervised & Unsupervised Learning, Reinforcement Learning, ML Algorithms
AI Fundamentals, Ethical AI, Computer Vision
Data Analysis, Data Visualization, Data Science
IBM Watson, Watson Studio, OpenCV
Problem Solving, Scripting, ML/AI Development
OOP, JDBC, Java Swing, Desktop Applications
System Programming, Game Development, DSA
Web Development, Frontend & Backend
Web Design, Responsive Layouts
Database Queries, Data Management
React.js, JavaScript, Responsive Design
Node.js, API Development, REST APIs
End-to-end Web Applications, Hosting & Deployment
Tailwind CSS, Data Pipelines
Server Administration, Bash Scripting
System Maintenance, Infrastructure Management
Docker, Container Orchestration
Ansible, Cloud Deployment, CI/CD
Prometheus, Grafana, System Monitoring
Git, GitHub, Collaborative Development
Revolutionary hybrid system combining sensor-based vitals tracking with AI-powered passive monitoring to ensure elderly safety and health—both at home and remotely.
View ProjectHigh-performance Q&A system built for HackRX 6.0. Features hybrid AI strategy with mission agent and smart batch processor, two-level caching, and comprehensive document support (PDF, DOCX, PPTX, XLSX, HTML, images with OCR).
View DetailsTwo-tiered anti-piracy system combining fast perceptual hash scanning with high-accuracy AI verification. Features automated detection through Telegram bot and web scraper for rapid pirated content identification and removal.
View DetailsPrivacy-focused GNOME Shell extension that prevents DNS leaks and handles Captive Portals. Features Fortress Mode for strict DNS enforcement with DoT encryption, and Airlock Mode for seamless hotel/airport Wi-Fi login pages.
View ProjectArchitected and executed a 90-minute Capture The Flag cybersecurity challenge at ASIET's national-level tech fest. Designed intricate challenges, built self-contained server environment, and hosted the entire competition live.
View DetailsFrontend interface for Ollama designed to raise awareness about locally hosted AI and its privacy advantages. Demonstrates the benefits of running AI models on personal hardware for enhanced data security.
View ProjectA video compression algorithm designed specially for low bandwidth streaming for educational uses.
View ProjectThis codebase was originally developed for HackathonX, a national-level cybersecurity hackathon conducted by the National Cyber Security Research Council (NCSRC) at the University of Calicut, Thenhipalam.
View ProjectClass work done during BTech in Computer Science (Artificial Intelligence) at Adi Shankara Institute of Engineering and Technology (2023–2027).
View ProjectB.Tech in Computer Science and Engineering (Artificial Intelligence)
Adi Shankara Institute of Engineering and Technology, Kerala
Expected Graduation: May 2027
9.59
Semester 4
8.63
Up to Semester 4
Stanford University & DeepLearning.AI
Issued Dec 2025
Skills: Supervised Learning, Unsupervised Learning, Machine Learning Algorithms, Reinforcement Learning
NPTEL - Elite + Silver (Top 5%)
Issued Nov 2025 • Credential ID: NPTEL25GE55S1265800468
Skills: Machine Learning, Artificial Intelligence (AI)
NPTEL - Elite + Silver (Top 5%)
Issued Apr 2025 • Credential ID: NPTEL25CS69S1054100101
Skills: Problem Solving, Python (Programming Language)
Stanford University & DeepLearning.AI
December 2025
3-course series covering supervised learning, unsupervised learning, and advanced algorithms. Hands-on experience with Python, TensorFlow, and scikit-learn.
After an immersive learning journey, I successfully completed this world-class program offered by DeepLearning.AI and Stanford University on Coursera. This comprehensive 3-course series demanded a deep dive into the core of AI, covering everything from Supervised and Unsupervised Learning to Advanced Learning Algorithms.
Gained hands-on experience building and training models using Python, TensorFlow, and scikit-learn, moving beyond theory to practical implementation of Neural Networks, Decision Trees, and Recommender Systems.
Receiving this certification from Stanford Online represents a comprehensive understanding of the mathematical underpinnings and best practices used in Silicon Valley for AI innovation. The structured learning significantly solidified my technical foundation, preparing me to tackle more complex challenges in Data Science and AI.
Shortlisted - Team Ayunex
All India Council for Technical Education
Selected for the fellowship program focused on transforming innovative ideas into market-ready products.
Being part of the Ayunex team has been an incredible journey, and we're excited to have been shortlisted for the AICTE Productization Fellowship. This prestigious program focuses on transforming innovative ideas into market-ready products.
This is a massive milestone for our entire team and testament to the hard work, late nights, and relentless passion we've poured into our innovation. Team members: Ashna Thajudheen and Devika Sajith, with guidance from mentor Dr. Amrutha Muralidharan Nair.
Shortlisted - Team Ayunex
Ministry of Education's Innovation Cell
Recognized for innovative project proposal in national-level innovation challenge.
Ayunex has been honored to be shortlisted for BOTH the AICTE Productization Fellowship (APF) and the YUKTI Innovation Challenge (YIC) 2025. This dual recognition represents a significant milestone for our healthcare innovation.
Our project focuses on elderly healthcare innovation, addressing critical gaps in healthcare technology. The recognition from the Ministry of Education's Innovation Cell validates our approach to making healthcare more accessible and effective.
Joy of Computing Using Python & Fundamentals of AI
IIT Ropar & IIT Guwahati
Achieved top 5% ranking in computational thinking and AI fundamentals courses.
Secured a spot in the Top 5% (Elite + Silver) in this course conducted by Prof. Sudarshan Iyengar (IIT Ropar). This course was an incredible journey into computational thinking and creative problem solving with Python, truly living up to its name.
Completed rigorous 12-week journey in AI fundamentals offered by IIT Guwahati, achieving Elite certification with 83% consolidated score. The performance secured a spot in the Top 5% of all certified candidates (out of 3795).
The structured learning significantly solidified technical foundation in computational thinking and AI algorithms, preparing for more complex challenges in Data Science and AI.
Team Kairos - ASIET ACM Idea Pitching Competition
Adi Shankara Institute of Engineering and Technology
Led team to second place with cybersecurity solution focused on digital safety accessibility. Teammates: Keerthana Vinod and C Raniya Nazrine.
Team Kairos secured the Runner-Up title at INNOVISION 2025, the flagship Idea Pitching Competition organized by the ASIET ACM Student Chapter. Competing against some of the most creative minds at Adi Shankara Institute of Engineering and Technology, Kalady was an exhilarating experience.
Our pitch centered on a specialized solution for cybersecurity and personal protection, designed to make digital safety accessible to everyone. As Team Lead, I guided the project from the brainstorming phase to the final presentation.
The highlight was the intense Q&A session—defending our technical vision and demonstrating the real-world impact of our solution. This victory reflects our team's synergy and collaborative spirit.