Arvindh Srinivasan

About Arvindh Srinivasan

Embedded Systems and Edge AI architect with 16+ years of experience designing and delivering production-grade software used across global customer engagements and product lines. Currently focused on Edge AI and TinyML systems, enabling efficient machine learning inference on constrained hardware through optimized software-hardware co-design. Proven track record of leading multicultural engineering teams, driving cross-functional collaboration, and delivering high-impact technical outcomes from concept to deployment.Specialized in end-to-end embedded product architecture spanning Linux kernel, device drivers, RTOS firmware, multimedia pipelines, computer vision audio pipelines, and Edge AI model deployment.Core areas: Embedded Architecture • Linux Systems • Edge AI • Computer Vision • Audio/Video Systems • System Optimization • Technical Leadership.

Experience

1. Senior Staff Engineer

   Infineon Technologies

   Feb 2022 — Present · Bengaluru, IN

   Performing the role of Technical Lead operating at Principal level for developing Edge AI / Machine Learning applications on Infineon\'s Microcontrollers targeting connected IoT devices with Speech Processing, Machine Learning, Computer Vision, Audio, Bluetooth, and HMI capabilities.• Involved in project management and leadership activities such as planning, negotiation, estimation, tracking, delegating, and delivery strategies. Working with cross-functional teams across multiple geographic locations to achieve software delivery and customer enablement.•Leading the development of Audio applications with Deep Learning based automatic speech recognition (ASR) libraries, DEEPCRAFT™ Voice Assistant, Generic Speech to Text models, Wake Word detection, Audio signal processing, DEEPCRAFT™ Audio Enhancement, Bluetooth streaming (A2DP), USB Audio streaming, and HMI capabilities on various Arm Cortex M MCU families for Edge AI. Owned and instrumental in developing Edge AI based demos for customers and market launch.• Successfully spearheaded and lead the \"AI on the Edge-PSoC™ 6\" track for Infineon\'s University Relations (UR) 2022 initiative, enabling Infineon team to conduct training/hackathons both internally within the company and in Colleges/Universities across India on end-to-end Deep Learning based wake-word detection development with TensorFlow and deployment of quantized models on Infineon MCUs.

Education

• Udacity

  Nanodegree, Computer Vision

• National University of Singapore

  Master of Science, Electrical Engineering - Computer Engineering Specialization

• Shanmugha Arts, Science, Technology and Research Academy

  Bachelor of Technology (B.Tech.), Electronics and Communication Engineering

Skills

• Embedded Software
• Gstreamer
• Arm Architecture
• Snmp
• Ethernet
• Shell Scripting
• Firmware
• Rf Systems
• Netconf
• Dvb
• Embedded C
• Unix
• Uml
• Device Drivers
• Field Applications
• C
• Rtos
• Algorithms
• Μitron
• Openmp
• Networking
• Digital Signal Processors
• Linux Kernel
• Linux
• Alsa
• Software Development
• Isdb-T
• C++
• Drm, Am, Fm
• Software Design
• Perl
• Embedded Systems