Introduction – Nicholas Francis, Mentorship Programme Participant 2025
My name is Nicholas Francis, a recent Computer Science graduate with a deep interest in embedded systems, artificial intelligence, and cybersecurity. My work is driven by my desire to apply technology to solve real-world problems in affordable and accessible ways.
One of my earliest personal projects involved automating a coil-winding machine with my father. The machine, originally operated by hand, was used to create specialized coils for a high efficiency generator intended for EV charging stations. We transformed the fully manual setup into an automated system using a Raspberry Pi, stepper motors, and Python. This improved both efficiency and consistency, illustrating how practical embedded systems can significantly enhance everyday tasks.
In our rural community, voltage fluctuations were a frequent issue, often damaging household electronics including my EV bicycle charger. Commercial stabilizers were costly, so we built one ourselves. Using an Arduino, sensor circuits, and a Variac transformer, I developed a dynamic voltage regulator that adjusted output in real time. Built entirely from off-the-shelf components, it provided an affordable solution with real local impact.
As part of my final-year project at Karunya Institute of Technology and Sciences (Coimbatore), I focused on computer vision. I developed a road segmentation model using a Deep-learning Model called SegNet and deployed it on an NVIDIA Jetson Nano for real-time implementation. The model processes video in real time, identifying drivable road areas in Indian traffic scenarios. This work contributes to the foundational development of autonomous driving and intelligent transport systems tailored for Indian conditions.
During the COVID-19 lockdown, I developed an interest in cybersecurity. The field stood out for its enduring need for human insight, ethical decision-making, and constant adaptability in an AI-driven world. I pursued the CEH v11 (Certified Ethical Hacker) certification, gaining hands-on experience in penetration testing and vulnerability assessment. I view cybersecurity not as an optional layer, but as a core component of any modern system.
I currently work as a Jr. Associate – L&D at iMerit, contributing to technical enablement across AI and data-driven projects in the field of Autonomous Mobility. I am also preparing to join the Cybersecurity Advisors Network (CyAN), where I look forward to engaging with a community of like-minded professionals committed to digital safety and resilience. My interests lie at the intersection of software and the physical world, where AI, embedded systems, and cybersecurity come together to create solutions that matter.