- π Project Associate @ RBCCPS, IISc β applying Time Series Foundation Models for forecasting and anomaly detection of Buildings Energy Consumption Data and Air Quality Data
- π M.Tech in Computer Science (Cybersecurity & Network Security), PES University
- π Passionate about Cybersecurity, 5G/Network Security, and Machine Learning
- π Always excited to collaborate, build, and learn with like-minded individuals
- Working as a Project Associate at RBCCPS @ IISc, automating dataset generation pipelines for cyber-physical research (~40% reduction in manual pre-processing effort)
- Conducting zero-shot code analysis using Time Series Foundation Models, benchmarking accuracy across anomaly-detection tasks
- Pursuing a BS in Programming & Data Science at IIT Madras and completed PG Diploma in Cyber Law & Cyber Forensics at NLSIU
- Exploring Cloud Security, Threat Modeling, and Penetration Testing
- M.Tech in CSE (Cybersecurity & Network Security) β PES University, 2023β2025 (9.09/10)
- B.Tech in CSE β PES University, 2019β2023 (7.44/10)
- BS in Programming & Data Science β IIT Madras, 2023βPresent
- PG Diploma in Cyber Law & Cyber Forensics β NLSIU, 2024β2025
- Project Associate, RBCCPS @ IISc β Sep 2025βPresent
- Research Intern, RBCCPS @ IISc β Aug 2025
- Cybersecurity Intern, Verzeo β JunβAug 2020 (network traffic analysis with Wireshark & Nmap)
- Ethical Hacking Trainee, Techobytes β Jun 2020 (penetration testing with Kali Linux & Metasploit)
Security & Networking: Wireshark Β· Nmap Β· Kali Linux Β· Metasploit Β· 5G/RAN Slicing Β· Penetration Testing
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π‘ Integrated RAN-Core Slicing Framework for End-to-End QoS in 5G Networks Architected a unified 5G standalone slicing framework integrating RAN and Core, achieving sub-millisecond URLLC latency and optimized QoS across eMBB, URLLC, and mMTC use cases.
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π RSA Encryption with Block and Stream Ciphers Developed a hybrid secure communication system integrating RSA with block and stream ciphers for enhanced data security and key management.
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π Swift Cart β An E-Commerce App Engineered a full-stack MERN application with secure authentication and CRUD operations for product browsing, cart management, and order tracking.
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π Stock Market Price Prediction using LSTM Built an LSTM-based deep learning model for high-accuracy time-series forecasting of stock market trends.
- AWS: Compute & Networking
- Cisco: Cybersecurity Essentials
- HackingFlix: Cyber Warrior
- HackerRank: Python, SQL, Problem Solving
- I love automating my daily tasks using Python and Bash scripts
- Fascinated by the intersection of cybersecurity, 5G networks, and cloud-native solutions
- I enjoy mentoring juniors and contributing to open-source communities when possible

