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I am an AI engineer with hands-on experience in machine learning, computer vision, and embedded systems. I specialize in real-time object detection, deep learning, and multi-sensor integration for autonomous systems. Currently, I am supporting autonomous vehicle research at Coventry University, where I develop AI perception systems and integrate embedded AI for autonomous driving applications. I enjoy building complete AI pipelines and incorporating explainability tools like Grad-CAM. With a strong background in both software and hardware integration, I am passionate about advancing autonomous vehicle technologies and contributing to innovative AI projects.…I am an AI engineer with hands-on experience in machine learning, computer vision, and embedded systems. I specialize in real-time object detection, deep learning, and multi-sensor integration for autonomous systems. Currently, I am supporting autonomous vehicle research at Coventry University, where I develop AI perception systems and integrate embedded AI for autonomous driving applications. I enjoy building complete AI pipelines and incorporating explainability tools like Grad-CAM. With a strong background in both software and hardware integration, I am passionate about advancing autonomous vehicle technologies and contributing to innovative AI projects.

PRABHAKANTHA INDUSHAN B. SENAVIRATHNA

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I am an AI engineer with hands-on experience in machine learning, computer vision, and embedded systems. I specialize in real-time object detection, deep learning, and multi-sensor integration for autonomous systems. Currently, I am supporting autonomous vehicle research at Coventry University, where I develop AI perception systems and integrate embedded AI for autonomous driving applications. I enjoy building complete AI pipelines and incorporating explainability tools like Grad-CAM. With a strong background in both software and hardware integration, I am passionate about advancing autonomous vehicle technologies and contributing to innovative AI projects.…I am an AI engineer with hands-on experience in machine learning, computer vision, and embedded systems. I specialize in real-time object detection, deep learning, and multi-sensor integration for autonomous systems. Currently, I am supporting autonomous vehicle research at Coventry University, where I develop AI perception systems and integrate embedded AI for autonomous driving applications. I enjoy building complete AI pipelines and incorporating explainability tools like Grad-CAM. With a strong background in both software and hardware integration, I am passionate about advancing autonomous vehicle technologies and contributing to innovative AI projects.

Available to hire

I am an AI engineer with hands-on experience in machine learning, computer vision, and embedded systems. I specialize in real-time object detection, deep learning, and multi-sensor integration for autonomous systems. Currently, I am supporting autonomous vehicle research at Coventry University, where I develop AI perception systems and integrate embedded AI for autonomous driving applications.

I enjoy building complete AI pipelines and incorporating explainability tools like Grad-CAM. With a strong background in both software and hardware integration, I am passionate about advancing autonomous vehicle technologies and contributing to innovative AI projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Research Assistant – Embedded Systems & AI Integration at Coventry University – Centre for Future Transport and Cities, United Kingdom

May 1, 2025 - Present

Supporting the StreetDrone autonomous vehicle project, integrating embedded systems with multi-camera AI-based perception. Utilized computer vision methodologies to enhance image processing, boosting efficiency by 30%. Developed real-time object detection pipelines using YOLO, and interfaced RTK GNSS, CAN bus, and ROS for vehicle control. Simulated vehicle environments in IPG CarMaker, including wireless charging setups and urban intersection modelling (MIRA circuit). Applied computer vision techniques to build an object detection system for autonomous vehicles, improving detection accuracy by 20%. Focused on hardware-software integration, embedded AI deployment, and real-time validation for autonomous driving applications.

Design Engineer at Rinstrum (Pvt) Ltd, Negombo, Sri Lanka

September 30, 2024 - July 25, 2025

Designed and developed analog and digital circuits, focusing on embedded systems for industrial automation. Created detailed schematics and multilayer PCB layouts using Altium Designer, completing 14 individual and 7 collaborative hardware projects. Programmed FPGAs and DSPs to optimize performance in AC/DC and DC/DC converter systems for high-reliability control applications. Developed embedded firmware in C and Lua, enabling real-time control and automation across UART, SPI, I2C, CAN, RS232/485, and Ethernet protocols. Enhanced wireless capabilities of industrial systems by integrating ESP32 modules with Wi-Fi and Bluetooth communication. Conducted comprehensive hardware testing, fault analysis, and design verification, ensuring compliance with IPC standards and safety regulations. Managed project budgets, schedules, and BOM costs while delivering 21 projects on time in an Agile environment.