---
title: "Avinash Kumar - Embedded Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Avinash Kumar, Graduate Embedded Software Engineer @ JLR | IIT Kharagpur ’24 based in Greater Bengaluru Area. AI stack includes claude code, claude, and kiro. Explore public work links including github."
image: "https://tal.club/meet/avinash-kumar-19/share-image"
---

# Avinash Kumar on Tal

## Headline

Graduate Embedded Software Engineer @ JLR \| IIT Kharagpur ’24

## About

What draws me to embedded software is the discipline it demands — every line of code has to respect real hardware constraints: timing, memory, power, interrupts\. I like that the feedback is immediate and honest: it either meets the deadline or it doesn't, the interrupt is handled correctly or it isn't\. Built a preemptive RTOS kernel for ARM Cortex\-M from scratch — including a Linux simulation port and priority inheritance scheduling to fix priority inversion bugs\. At Jaguar Land Rover, worked on embedded firmware across CAN, SPI, and ADC interfaces, including hard real\-time I²T overcurrent protection\. Also built a Programmable Load Switch Multiplexer for HIL rig optimization during a hackathon, from concept to a fully passing test suite\. Background spans FPGA design, embedded firmware, and systems debugging, with a first\-principles approach to hardware\-software problems\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

kiro

openai

githubcopilot

## Work experience

Embedded Software Engineer at JLR, Jul 2024 \- Present · 2 yrs 3 mos, Bengaluru, • Engineered robust SDV PPDU embedded firmware, initializing ADC, SPI, PIT, and GPIO peripherals for core system functionality • Optimized an ADC driver to 1 MHz sampling frequency, enabling continuous real\-time telemetry tracking across 10 analog channels • Programmed deterministic Overcurrent safety mechanisms using I2T protection algorithms and PIT for automotive fault detection • Integrated CAN and SPI functionality, analyzing circuit designs to ensure signal integrity and reliable digital e\-fuse control • Built a hardware validation and debug framework for automated regression testing and remote command execution over UART • Deployed RTOS\-based task scheduling to manage ISR priorities, mutex\-protected bus access, and deterministic fault\-response timing Deployed RTOS\-based task scheduling to manage ISR priorities, mutex\-protected bus access, and deterministic fault\-response timing • Engineered production\-grade firmware for automotive Solid State Contactors \(SSC\) on Infineon TC387 SOC, architecting a 5\-state control machine and AURIX GTM hardware trip paths to achieve <5 μs deterministic fault protection independent of CPU load • Designed advanced SSC control algorithms \(soft\-start, sequencing, and auto\-recovery\), reducing inrush current by 30–40%

Student Researcher at SEAL, IIT Kharagpur, Jul 2023 \- May 2024 · 11 mos, IIT Kharapur, \(Under the guidance of Prof\. Debdeep Mukhopadhyay\) • Optimized cross\-architectural PUF modeling by integrating multi\-agent PSO to refine global exploration and exploitation strategies • Analyzed P\-block security in passive reconfigurable RRAM crossbars, safeguarding hardware against bit\-level vulnerabilities • Evaluated PUF Strict Avalanche Criterion and response\-flip probabilities to measure stability under challenge variations • Created a PUF validation framework with custom sorting to prevent overfitness and accelerate convergence by 17% • Modeled a passive RRAM PUF in Python using machine learning, yielding a 200x accuracy boost and 92% bit\-identification precision

EV Powertrain Intern at JLR, May 2023 \- Jul 2023 · 3 mos, Bengaluru, • Developed automated vehicle cooling\-system testing frameworks using Vector CANoe and CAPL scripting for target validation • Simulated cooling\-system actuators and electric motors using CAPL models to enable accurate closed\-loop testing environments • Implemented and validated communication between master ECU and peripheral nodes utilizing the automotive LIN protocol stack • Investigated hydrogen storage technologies for automotive use and designed a type\-4 vessel raising operating pressure tolerance from 350 to 700 bar via geometric optimization\. • Proposed a conformable storage tank improving volumetric efficiency by 20% over the type\-4 vessel, using tension struts to mitigate wall pressure bulges\.

Undergraduate Researcher at Indian Institute of Technology, Kharagpur, Dec 2021 \- Nov 2022 · 1 yr, Kharagpur, \(Under the guidance of Prof\. Sudipta Mukhopadhyay\) • Implemented server\-client communication for transferring videos using Java RMI • Implemented a zoom function for on\-going videos • Optimized Rain and Fog processing algorithms and improved video streaming rate of HD and Ultra HD videos from 26 to 30 fps

## Education

Bachelor of Technology \(Hons\.\), Instrumentation Engineering \(Electrical Engineering\), Indian Institute of Technology, Kharagpur

## Public links

- github: https://github\.com/avinashjnvr

[View the original profile](https://tal.club/meet/avinash-kumar-19)

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