Sri Lanka
I am an Applied AI Engineer with over three years of industry experience, specializing in developing innovative, customer-centric applications. At Iterate.ai, I work on building cutting-edge solutions for businesses by leveraging Agents, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). My expertise includes Edge AI, designing scalable software systems, and building automated, reproducible pipelines, with a strong focus on performance optimization and operational efficiency. Passionate about innovation, I enjoy solving complex problems and delivering impactful AI-driven solutions.
• Developed an Edge AI solution for real-time video analytics on NVIDIA Jetson devices, enabling low-latency on-device inference for security and surveillance applications. • Optimized C++ video processing pipelines for high-throughput object detection using TensorRT and CUDA on NVIDIA Jetson platforms, significantly reducing inference latency. • Designed and implemented a FastAPI-based backend server to manage input/output control interfaces between edge devices and upstream systems on Jetson Orin hardware. • Conducted systematic security hardening of edge devices by performing vulnerability assessments using Vulnerability scanners and implementing remediation strategies to address identified threats. • Evaluated and selected optimal embedded Linux distributions for NVIDIA Jetson devices, with emphasis on security compliance, resource efficiency, and deployment reliability
Research Experience at the Battery R&D Department: Conducted research on electric modeling of lithium iron phosphate (LiFePO4) batteries by performing OCV (Open Circuit Voltage) and dynamic testing profiles using a cell tester. Implemented nonlinear Kalman filter algorithms, such as the Extended Kalman Filter (EKF) and Sigma Point Kalman Filters (SPKF), including the Unscented Kalman Filter (UKF) and Central Difference Kalman Filter (CDKF), for State of Charge (SOC) estimation of the modeled battery. The battery modeling and algorithm development were done in MATLAB, and the algorithm was implemented in C code for MCU-level programming. Specialized in communication protocols such as MQTT, SPI, I2C, CAN, and UART through my involvement in projects like firmware development for EV Battery Management Systems (BMS) and data loggers for household battery packs.
Research Experience at the Power Electronics Research Laboratory: I conducted research on a bidirectional DC-DC converter for EVs, where I implemented firmware for a boost topology and tested the code with the hardware.