Master's graduate in Computer Science with a focus on cybersecurity research. Led an NLP-driven analytics pipeline that surfaces vulnerability signals up to 160 days before official NVD disclosure, and served as a Teaching Assistant for Machine Learning in Cybersecurity.
B.E. in Information Science and Engineering | Bangalore, India. Built foundational skills in data structures, networking, and software development.
I sit at the intersection of software engineering, machine learning, and cybersecurity. My research at Pacific uses NLP to mine early vulnerability signals from social media before they reach official databases — turning unstructured chatter into actionable threat intelligence.
Beyond research, I've built ML-powered attack classifiers using honeypot data, decentralized crowdfunding DApps on Ethereum, and IoT automation systems deployed on Azure — always with a security-first mindset.
University of the Pacific
School of Engineering & Computer Science, University of the Pacific
ISACA
Residential Life & Housing, University of the Pacific
Google Developer Student Club (GDSC)
Pacific Global / IPS, University of the Pacific
Partnr Subspaces Private Limited, India
Voice training application using LLMs to analyze pitch, vibrato, and dynamics from user input, offering personalized singing feedback in real time. Won the "Most Ambitious Project" award by sponsors VapiAI.
Machine learning model that boosted cyberattack detection accuracy by 35% and predicted attack timelines using historical honeypot data, enabling proactive threat response and early-warning capabilities.
Led a 10-member cross-functional team to build an open-source IoT plant-watering system. Leverages Docker on Azure, dual-database persistence, and 3+ integrated moisture sensors for automated end-to-end plant health monitoring.
Decentralized fundraising platform with custom Solidity smart contracts. Leverages React.js and the Infura API to optimize blockchain connectivity and enhance security by 4x over traditional models.
Research project at University of the Pacific. NLP-powered pipeline analyzing 90+ CVEs and 10K+ Reddit security discussions to surface early vulnerability signals up to 160 days before official NVD disclosure, presented via an interactive threat dashboard.
I'm actively seeking cybersecurity internships, research positions, and software engineering roles. Open to relocation. Let's talk about how I can contribute to your team.