Bimalka is a senior electronics engineer specialising in low-level software for embedded and hardware-adjacent systems, with a track record of delivering high-impact solutions - from engineering chip characterisation pipelines for a Silicon Valley startup to building autonomous field robots from the ground up.

• He graduated with an Honours Degree of B. Sc. of Engineering (Electronic, Telecommunication & Computing) from the University of Moratuwa, Sri Lanka, in July 2023, and is an Associate Member of the Institution of Engineers Sri Lanka (IESL).
• He is a disciplined, self-reliant, and deeply curious professional who is exploring the fields of:
  • Computer Vision & Image Processing
    
  • Embedded Software
    
  • Computer Systems Architecture
    
• He has solid fundamental knowledge and ~4 years of hands-on industry experience in these disciplines, as well as essential soft skills such as leadership, teamwork and consistency.
• His professional goal is to deepen his expertise in these engineering fields while making a positive impact on society through innovation and collaboration.

• In Aug 2026, I completed 3 years of service as a Systems Software Developer at Sagence AI Corporation, Santa Clara, CA, USA (remote). There, I collaborated with cross-functional Research and Development (R&D) teams across Sri Lanka, India, and the USA to build a novel analog in-memory AI inference accelerator. Engaged through Paraqum Technologies (Pvt.) Ltd., a Sri Lanka-based design services partner.

  • Engineered Assembly microcode (custom ISA) and Python APIs for: 1) wafer sorting, 2) Multi-Level Cell (MLC) weight programming, and 3) memory characterisation of the accelerator chip.
  • Accelerated weight programming and full-chip characterisation time from hours to minutes through parallelised computing block weight loading & inference, NumPy vectorisation and necessary driver upgrades.
  • Architected a full-stack internal GUI application using AI-assisted development tools to manage input vectors, run hardware inference pipelines, and analyse performance metrics.

• In June 2023, I completed the Final Year Project of my undergraduate degree program, AutoPilotX: an Advanced autonomous navigation technology designed specifically for outdoor, semi-structured, and terrain-based applications.

  • Developed a generic field robot with autonomous navigation capable of operating in a semi-structured outdoor environment, focusing on: 1) optimal fusion of LiDAR, Vision, IMU & RTK sensors for precise pose estimation, 2) Robot Operating System (ROS1)-based software stack.
  • The potential applications include precision agriculture, autonomous security, autonomous carts, disaster management, and research.

• In July 2022, I completed my undergraduate-level internship at a local Research and Development facility, where I worked on Machine Vision-based Real-Time Motion Planning for an Articulated Robot Arm,

  • Contributed to developing and/or upgrading algorithms, related software, and firmware of an industrial articulated robot arm that uses computer vision for real-time motion planning.

Data Analysis:

Programming:

Embedded Systems Design:

Other Tools:

• I'm hyperactive on LinkedIn. You can consider it as my resume too! It's always up to date.
• Otherwise, feel free to drop a line via email. But I may take longer to reply, as I do not regularly check my inbox.