Summary
Aravind Chakravarti is a Senior Technical Specialist with over a decade of hands-on experience designing embedded hardware, firmware, and Edge AI systems for defense and aerospace. He has led full product lifecycles from mixed-signal board design and certification (DO-254/DO-178C, TSOA) to deploying optimized computer vision and GNSS solutions on NVIDIA Jetson-class platforms. His work uniquely blends high-reliability hardware (PMSM motor control, GPSDOs, SELCAL decoders) with applied ML—optimizing models with TensorRT and integrating real‑time signal processing and firmware for low-power, interference-resilient navigation. Based in Bengaluru, he’s known for taking certification-heavy avionics projects through validation and for translating deep electronics expertise into practical, deployable EdgeML systems. An MTech in AI complements his traditional EEE background, enabling him to bridge algorithm research and ruggedized product engineering.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.), Electrical and Electronics, 8.34/10, Bachelor of Engineering (B.E.), Electrical and Electronics, 8.34/10 at B V B College of Engg. & Technology, HUBLI
Master of Technology - MTech, Artificial Intelligence, 8.47/10, Master of Technology - MTech, Artificial Intelligence, 8.47/10 at M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE
The School of AI
Kannada, Hindi, English, German