A

Arvindh Srinivasan

Product Engineer

Bengaluru, Karnataka, India16 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 16+ years in Embedded Systems and Edge AI.
  • Led multicultural teams to deliver high-impact projects.
  • Expert in software-hardware co-design for constrained hardware.
Stackforce AI infers this person is a highly skilled Embedded Systems and Edge AI architect with extensive experience in technical leadership.

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Skills

Core Skills

Edge AiEmbedded SystemsMachine LearningComputer VisionAudio ProcessingHuman Machine Interface

Other Skills

Project ManagementSoftware ArchitecturePython (Programming Language)C (Programming Language)TensorFlow Lite MicroTinyMLAgile MethodologiesRTOSLinuxGitARM ArchitectureProject PlanningBluetoothDigital Signal ProcessingTensorFlow

About

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

16 yrs 9 mos
Total Experience
4 yrs 2 mos
Average Tenure
4 yrs 3 mos
Current Experience

Infineon technologies

2 roles

Principal Engineer

Promoted

Apr 2026Present · 2 mos · Bengaluru · Hybrid

  • Technically leading Edge AI applications development for PSOC™ MCU family and collaborating with cross functional teams to deliver Edge AI/ML software products optimised to run on resource constrainted hardware for multimodal use-cases.
Edge AIEmbedded SystemsProject ManagementMachine LearningSoftware Architecture

Senior Staff Engineer

Feb 2022Mar 2026 · 4 yrs 1 mo · Bengaluru · Hybrid

  • Performed 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.
  • Lead 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.
Edge AIProject ManagementPython (Programming Language)C (Programming Language)Machine LearningTensorFlow Lite Micro+13

Coursebricks/augurai

Principal Engineer

Jan 2022Feb 2022 · 1 mo · Tiruchirappalli, Tamil Nadu, India

  • Part of CourseBricks and Augurai teams. (https://theaugurai.com/)
  • Involved in Machine Vision solution development for Manufacturing and Industrial use cases. (Industry 4.0).
  • Benchmarked inferencing of Semantic Segmentation solution built using U-Net Deep Learning model on edge devices such as Nvidia Jetson Xavier NX, Nvidia Jetson Nano, Raspberry Pi, Intel NUC. Also evaluated the solution on Cloud based GPUs for TensorRT acceleration.
  • Accelerated Deep Learning inferencing via ONNX to TensorRT conversions on multiple Nvidia Jetson devices.
  • Participated in designing code repository structures and processes.
Edge AIPyTorchProject ManagementPython (Programming Language)Machine LearningTensorRT+5

Rapsodo

Staff Software Engineer

Oct 2018Jun 2021 · 2 yrs 8 mos · Singapore

  • Responsible for software architecture and end-to-end system development of Computer Vision/Deep Learning (Edge AI) based products for sports analytics in Linux on ARM Aarch64 SoCs.
  • As a Platform System Lead, responsible for Board bring-up, Linux Device Drivers & uBoot customizations, developing build and deployment frameworks, creating system management and process management daemons, OTA software upgrade via TLS/SSL-based secure networking, Software for networking interfaces(Ethernet/WiFi/USB-RNDIS), PTP based time synchronization, Power management software with PMIC, MIPI CSI-2 Camera Linux device driver development for Sony IMX and Omnivision cameras, BSP customizations for Aarch64 ARM SoCs [Nvidia Jetson Xavier, Rockchip].
  • Experienced in project management, scheduling, coordinating with different stakeholders for product delivery, and leading team members. Managed BSP&SW package releases for customers/factory.
  • Provided Deep Learning/Computer Vision framework and code support such as TVM, and Nvidia Deep Learning libraries(TensorRT, CUDA) for embedded platforms. Profiled different Deep Learning models and CUDA kernels on Nvidia Jetson platforms.
  • Member of the hiring panel with a focus on technically evaluating candidates in the embedded system domain.
Edge AIDevice DriversInternet Protocol Suite (TCP/IP)CUDAProject ManagementALSA+20

Panasonic

4 roles

Staff Engineer

Promoted

Jul 2017Oct 2018 · 1 yr 3 mos · Singapore

  • Designed and developed software for features such as Ethernet Audio Video Bridging (AVB)/Time Sensitive Networking (TSN) based Audio streaming to Ethernet Audio Amplifier[ RTP, IEEE 1733 RTCP with IEEE 802.1AS gPTP synchronization via BroadR-Reach] ,
  • Achieved enabling Linux kernel soft reboot via kexec/kdump for Panasonic Automotive Infotainment SoC featuring dual ARM Cortex A9 cores with dual OS.
  • Represented Panasonic Semiconductor(PSCS) at different locations in Europe handling technical questions and providing solutions for a top European OEM/Tier 1 Automotive customer.
  • Coordinated a sub-set of software-related customer requests between multiple sites such as Panasonic Japan, Panasonic Singapore, and Panasonic Europe and developed software solutions.
  • Recipient of Panasonic Semiconductor President Award (2018), received directly from President of Panasonic Semiconductor Solutions (PSCS).
Human Machine InterfaceDevice DriversInternet Protocol Suite (TCP/IP)Project ManagementALSAC (Programming Language)+15

Senior Engineer

Jul 2016Jul 2017 · 1 yr · Singapore

  • Responsible for architecture, analysis, and implementation of new software solutions/proof of concepts (Android device screen replication via H.264, Android audio streaming-AOAv2.0(USB Audio), connectivity, HMI design with 2.5D graphics, Radio chip integration with HMI SoC, Reverse Parking Assistance with bird's eye view on Panasonic Automotive Infotainment SoCs.
  • Promoted Panasonic infotainment chip solution to potential clients in India. Visited clients and implemented solutions to meet their requirements.
  • Demonstrated and explained Panasonic infotainment SoC solutions to automotive Tier-1s/OEMs targeting India and China markets.
Human Machine InterfaceC (Programming Language)Audio ProcessingEmbedded SystemsShell ScriptingRTOS+11

Engineer III

Promoted

Jul 2014Jul 2016 · 2 yrs · Singapore

  • Responsible for firmware development on Automotive audio/radio and graphics display processor which contained features such as AM, FM, DRM, DRM+, Bluetooth, USB, 2D, 2.5D, audio and video decoding.
  • Participated in In-car (for a popular Car brand) acoustic tuning of audio DSP along with Arkamys & Panasonic team, RF(Radio frequency) performance measurements, and tuner alignment of radio Digital Signal Processor.
  • Performed Market analysis, feasibility study on new features, implementation and demonstration of software solutions to automotive Tier1s.
Human Machine InterfaceC (Programming Language)Audio ProcessingEmbedded SystemsShell ScriptingRTOS+11

Engineer II

Jan 2012Jul 2014 · 2 yrs 6 mos · Singapore

  • Guided the team in the design, development/estimation, and support of Factory Mode, Manufacturing Mode, Demonstration Mode, and Hotel Mode software modules for Digital TVs running on Panasonic/Socionext SoC (Uniphier-sLD8) based on Unix FreeBSD, ARM Cortex A9.
  • Designed features such as USB clone feature for Digital TV, APIs for video adjustment options, picture quality (PQ), EEPROM modifications, test pattern features, detecting B-CAS (Conditional access system) card, and switching modes in the software.
  • Integrated DVB T/T2 tuner (MaxLinear MxL603 chip) and Panasonic MN88472 demodulator chip with modifications in driver code. Ported and developed SPI master device driver module in Linux 2.6 kernel. Changed GPIO port assignments on Panasonic-LD4 ARM SoC based on specifications.
  • Developed abstraction layer for modules such as digital tuner, Audio/Video, remote control, memory, and Audio descriptor (mixing two audio channels) on different ARM-based SoCs (Panasonic sLD2, sLD3) using Linux for DVB T/T2 middleware.
C (Programming Language)Audio ProcessingEmbedded SystemsShell ScriptingRTOSGit+7

Hcl technologies

Member Technical Staff

Jun 2007Jul 2010 · 3 yrs 1 mo · Chennai Area, India

  • Designed and developed management plane (Network Application layer) software for features such as Ethernet CFM (IEEE 802.1ag), PTP (IEEE 1588 v2), OSPF MD5 authentication, PPPoE, DS0 grooming, TCP path MTU, MC MLPPP, network diagnostics (ping, traceroute) and system configuration for MPLS based cellular backhaul gateway running Linux on Wintegra Network Processor.
  • Enhanced software for ISG (IP/SNMP/GPS) module in embedded cellular signal repeaters.
  • Improved the design of the NETCONF module to be scalable and support new features. Performed multi-module development in modules such as CLI, NETCONF, and SNMP.
  • Managed devices, and peripherals assigned to the team by coordinating with other teams and maintaining inventories. Performed the role of configuration and build manager for software releases.
Device DriversC (Programming Language)Linux KernelEmbedded SystemsShell ScriptingLinux+6

Education

National University of Singapore

Master of Science — Electrical Engineering - Computer Engineering Specialization

Aug 2010Feb 2012

Shanmugha Arts, Science, Technology and Research Academy

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

Jun 2003Jul 2007

Udacity

Nanodegree — Computer Vision

Nov 2020Mar 2021

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