Learn | Innovate | Inspire
AI undergraduate student with a strong passion for FPGA development, embedded machine learning, and innovative IoT solutions. Dedicated to transforming ideas into impactful real-world applications using cutting-edge technology.
University student with practical experience in FPGA development, embedded machine learning, and embedded systems. Skilled in using MCU for real-time applications, integrating neural networks on microcontrollers, and developing robotics projects.
Proficient in PCB design and 3D modeling with Onshape for hardware prototyping. Comfortable with SystemVerilog and digital circuit design. Able to take projects from concept to implementation with a clear focus on functionality and efficiency.
Also experienced in mentoring and conducting technical sessions for student groups, sharing knowledge and inspiring the next generation of engineers.
Leadership
Innovation
Mentor
Expertise across hardware and software domains, from low-level embedded systems to high-level AI applications.
Conduct engaging, hands-on sessions on Robotics and IoT for students ranging from school to university level, maintaining a 97.6% mentoring score through consistently positive feedback. Design and deliver content on core robotics concepts, sensor integration, embedded programming, and AI applications, while guiding learners in building practical projects using microcontrollers like Arduino and ESP32.
Here are some of my recent projects that showcase my skills in embedded systems, IoT, and machine learning.
Developed an educational IoT kit using ESP32, featuring real-time sensor data collection and cloud integration for teaching IoT concepts.
A high-speed line-following robot powered by an ESP32, featuring 500 RPM gear motors, adaptive line detection, and Bluetooth-based PID tuning.
A classic Hello World example for embedded machine learning, involving training a neural network and deploying it on a microcontroller using TFLM.
Created a smart medication dispenser with IoT capabilities, featuring automated reminders and remote monitoring using ESP32.
This system allows users to draw with hand gestures and receive AI-generated answers based on the drawing using computer vision.
Sharing knowledge and insights about electronics, embedded systems, and emerging technologies.
A beginner-friendly introduction to MOSFETs, exploring how voltage-dependent current sources work, starting from basic amplifier concepts to the structure and function of a MOS device.
Read on MediumI introduced the fundamentals of TinyML, covering key aspects such as machine learning on microcontrollers, model optimization, and real-world applications.
Watch on YouTubeThis post introduces TinyML, which enables machine learning on low-power embedded devices. It highlights the benefits of running ML locally—reduced latency and improved privacy.
Read on MediumMoments from workshops, mentoring sessions, and collaborative projects that showcase my journey in education and technology.
I'm always interested in new opportunities and exciting projects. Let's discuss how we can bring your ideas to life.
Whether you need embedded systems development, IoT solutions, AI/ML implementation, or just want to say hello, feel free to reach out!
tenurastudy@gmail.com
+94 710 46 59 79
Colombo, Sri Lanka