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.
Recently, I achieved a significant milestone as a National Finalist at EnCode 2026, IIT Guwahati's flagship AI hackathon, where Team Kairos qualified as one of the Top 10 teams in India among thousands of participants. I also completed a prestigious 4-week Winter Internship at IIT Ropar under Prof. Sudarshan Iyengar, focusing on AI-driven systems and full-stack development with the MERN stack, where I optimized real-time question generation pipelines and contributed as a peer evaluator.
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
Privacy-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.
100+ Downloads on GNOME Extensions
Download Extension View ProjectRevolutionary hybrid system combining sensor-based vitals tracking with AI-powered passive monitoring to ensure elderly safety and health—both at home and remotely.
Collaboration with Ashna Thajudheen & Devika P Sajith
View ProjectAI-powered financial analytics platform that transforms bank statements into actionable insights. Features natural language queries, advanced analytics with interactive visualizations, automatic transaction categorization, and real-time AI chat interface. Built with Next.js, FastAPI, and PostgreSQL.
Created for Encode, Udgam '26 (IIT Guwahati) - Finals | Collaboration with Keerthana Vinod & C Raniya Nazrine
View ProjectComprehensive AI-powered food analysis system using computer vision and NLP to provide detailed insights from food product images. Features exact brand identification, complete nutritional analysis, ingredient breakdown, allergen detection, and health-oriented recommendations powered by Google's Gemini AI.
Created for Encode, Udgam '26 (IIT Guwahati) - Qualifiers | Collaboration with Keerthana Vinod & C Raniya Nazrine
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).
Created for HackRX 6.0 | Collaboration with Ashna Thajudheen & Devika P Sajith
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.
Created for CineHack, FISAT | Collaboration with Ashna Thajudheen & Devika P Sajith
View DetailsArchitected 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.
Created for Zynpase '25, BMC
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)
Team Kairos | Top 10 in India
UDGAM, Indian Institute of Technology, Guwahati
Qualified as one of the top 10 teams nationwide for the flagship AI hackathon at IIT Guwahati. Team: Gokul P, Keerthana Vinod, C Raniya Nazrine
What started as a simple idea, a few uncertain conversations, and a shared dream of building something meaningful has now led us here. Competing among thousands of teams across the country and making it to the National Finals is something we'll always be proud of.
From moments of self-doubt to moments of clarity… From late-night debugging to early-morning hope… From "will this even work?" to "we're NATIONAL finalists." This journey gave us more than a project. It gave us growth, resilience, friendship, and belief.
Proud to announce that Team Kairos — Gokul P, Keerthana Vinod, and C Raniya Nazrine — are now National Finalists at EnCode 2026: Code To Innovate, the flagship AI hackathon by UDGAM, IIT Guwahati.
We'd like to sincerely thank everyone who supported us along the way—our parents, Adi Shankara Institute of Engineering and Technology, mentors, friends, and everyone who believed in us when we doubted ourselves. Your constant encouragement, patience, sacrifices, feedback, and motivation played a huge role in bringing us here. This wouldn't have been possible without you.
Now, we move on to the offline finals at IIT Guwahati, ready to push harder, think bigger, and give it everything we've got. No matter what happens next, this journey itself is a victory for us. Onwards and upwards. Let's make this count, Team Kairos. 💙🔥
Transitioned to Project-Based Work
IIT Ropar | Vicharanashala Lab for Education Design
Recognized among 6 interns (from several hundred) who successfully completed learning and evaluation phases to transition to real-world project work.
Featured in Vicharanashala Lab's official LinkedIn progress update as one of the select interns who successfully completed the rigorous learning and evaluation phases of the NPTEL-aligned internship program. Out of several hundred virtual interns, only 6 were highlighted for transitioning to project-based work.
This recognition came from Prof. Sudarshan Iyengar and the Vicharanashala Lab team at IIT Ropar, acknowledging the successful completion of intensive learning modules and evaluation criteria. Being among the featured interns demonstrates consistent performance and readiness for real-world application of skills.
Transitioned to applying learning to real-world projects under the guidance of Prof. Sudarshan Iyengar, Pushpendra P. Singh, and the Vicharanashala Lab team, focusing on AI-driven systems and educational technology solutions.
IIT Ropar | Vicharanashala Lab for Education Design
Under Prof. Sudarshan Iyengar
Selected for prestigious 4-week virtual internship based on Elite + Silver performance (Top 5%) in "Joy of Computing Using Python" - IIT Ropar.
Selected for this highly competitive internship program at IIT Ropar's Vicharanashala Lab for Education Design based on exceptional performance in NPTEL courses. The selection was merit-based, requiring Elite + Silver certification (Top 5% ranking) in "Joy of Computing Using Python" taught by Prof. Sudarshan Iyengar.
Worked on AI-driven systems and full-stack development with the MERN stack under the guidance of Prof. Sudarshan Iyengar. The internship involved optimizing real-time question generation pipelines, contributing to educational technology solutions, and participating in peer evaluation activities.
Part of a rigorous NPTEL-aligned virtual internship program with several hundred participants, focusing on upskilling through peer learning and learning-by-doing methodologies. The program emphasized practical application of theoretical knowledge in real-world project scenarios.
Worked under the guidance of Prof. Sudarshan Iyengar, Pushpendra P. Singh, Harshdeep R., Rajan Gupta, Meenakshi V, Mukund Aditya BV, and Nandan Prabhudesai at the Vicharanashala Lab for Education Design, IIT Ropar.
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
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.
IIT Ropar
Prof. Sudarshan Iyengar
Achieved Top 5% ranking in computational thinking and creative problem-solving with Python.
Secured a spot in the Top 5% (Elite + Silver) in this course conducted by Prof. Sudarshan Iyengar at IIT Ropar. This course was an incredible journey into computational thinking and creative problem solving with Python, truly living up to its name - "Joy of Computing."
This exceptional performance led to selection for the prestigious NPTEL Winter Internship 2025 at IIT Ropar's Vicharanashala Lab for Education Design, where I worked under Prof. Sudarshan Iyengar on AI-driven systems and educational technology.
The course significantly strengthened computational thinking skills and Python programming capabilities, providing a solid foundation for advanced AI and data science work. The creative problem-solving approach emphasized in the course has been invaluable in tackling real-world challenges.
IIT Guwahati
12-Week Rigorous AI Course
Achieved Top 5% ranking among 3,795 certified candidates with 83% consolidated score.
Completed a rigorous 12-week journey in AI fundamentals offered by IIT Guwahati, achieving Elite certification with an 83% consolidated score. The performance secured a spot in the Top 5% of all certified candidates out of 3,795 participants.
The comprehensive curriculum covered core AI concepts including search algorithms, knowledge representation, machine learning fundamentals, neural networks, and intelligent agents. The course provided both theoretical depth and practical implementation experience.
This achievement represents a strong foundation in AI algorithms and methodologies, preparing for advanced work in machine learning, deep learning, and AI-driven systems. The structured learning significantly enhanced understanding of AI principles used in modern applications.