Welcome to my digital portfolio
Iām a Computer Science student at VIT Vellore specializing in mobile and frontend development, creating responsive, user-focused apps with Flutter and modern frameworks, driven by a passion for cybersecurity and AI to build secure and innovative digital experiences.

Technologies and tools I work with
Featured development and technical projects
Reinforcement Learning-driven portfolio rebalancer using Deep Q-Learning to optimize rebalancing policies from historical market data. Maximizes risk-adjusted returns while respecting user risk profiles and transaction costs. Features Flutter iOS app for goal setting, backtesting on ETFs/stocks, and actionable rebalancing suggestions with performance visualization.
Built a mobile app to guide students through virtual campus tours using Flutter. Designed intuitive UI/UX for a smooth and interactive navigation experience. Provided students with easy access to campus maps, departments, and facility information.
Deployed Cowrie honeypot on Ubuntu to simulate an SSH server for logging unauthorised access attempts. Integrated with ELK Stack to visualise attacker logs and analyse malicious activity patterns. Developed understanding of network security, log analysis, and real-time threat monitoring.
A modern Kanban-style task management platform designed for individuals and teams to organize, track, and manage tasks efficiently. Features secure authentication, board & task management, drag-and-drop functionality, full CRUD operations, team collaboration support, and fully responsive UI.
My professional and academic background
Vellore Institute of Technology (VIT), Vellore
Pursuing Computer Science and Engineering with a focus on cybersecurity, software development, and mobile application development.
Martvalley Online Pvt. Ltd
Contributed real-time AI modules across 5+ development projects, cutting end-to-end processing latency by 30% and improving system throughput by 25%. Optimised ML training workflows and integrated models into production. Collaborated on pipelines processing 5,000+ images per week, raising model accuracy by 5%.
IBM Career Education Program ā Remote
Analysed simulated cyber threats and applied defensive strategies to secure system environments. Used industry-standard tools to monitor, detect, and report network vulnerabilities. Gained hands-on experience with malware analysis, threat intelligence, and penetration testing basics.
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