About Me
Engineer. Builder. Lifelong learner.
I am an Electronics and Communication Engineering undergraduate at PES University with a strong interest in VLSI, hardware security, and intelligent systems. I am naturally drawn to understanding how systems work at a fundamental level — from digital logic and architecture to the software that drives modern technology.
I approach engineering with curiosity and discipline, valuing clarity, structure, and practical problem-solving. I enjoy working at the intersection of hardware and software, and I am particularly interested in how machine learning can strengthen security and system reliability.
Beyond academics, I actively contribute to student-led technical initiatives, where I have taken on mentoring, coordination, and operational responsibilities. These experiences have shaped my ability to work in teams, communicate clearly, and handle responsibility under pressure.
I am motivated by continuous learning and by building solutions that are precise, efficient, and thoughtfully engineered.
Projects
A selection of work I'm proud of.
Resume
Education, experience, and the skills I bring to the table.
Education
B.Tech — Electronics & Communication Engineering
PES University, Bengaluru
2023 – 2027
CGPA: 8.49
High School Secondary Education
Sri Chaitanya College of Education
2011 – 2023
Completed my schooling with 83.2% in Class 10 and 91.4% in Class 12 (Science). Percentage: 95%
Experience
Student Head
Joy of Engineering Lab (JoEL), PES University
August 2024 – Present
- Contributed to the backend planning and technical coordination of HackeZee 2025, JoEL's flagship hardware hackathon.
- Assisted in event logistics, participant support, and mentoring, ensuring a smooth experience for all attendees for multiple events
- Mentored 6+ teams on IoT based projects, guiding them through design, implementation, and debugging processes.
Research Intern
Center for Information Security, Forensics and Cyber Resilience (C-ISFCR)
June 2025 – July 2025
- Collaborated with a team to develop a modular cybersecurity framework for automotive networks.
- Design and implemented a full-stack intrusion detection system (IDS) using machine learning models.
- Integrated a real-time Python-based firewall with an ensemble of models to enhance vehicular safety.
- Created a Tkinter-based GUI for controlled CAN message injection and post-attack analytics visualization.
Skills
Languages
Hardware
ML & Security
Tools