---
title: "Siddharth B. - Senior Technical Lead in Bengaluru | Tal"
description: "Meet Siddharth B., Sr. Technical Lead | ADAS-Perception | C/C++ | Edge AI Enthusiast | NIT Trichy based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/siddharth-bardiya/share-image"
---

# Siddharth B\. on Tal

## Headline

Sr\. Technical Lead \| ADAS\-Perception \| C/C\+\+ \| Edge AI Enthusiast \| NIT Trichy

## About

Senior ADAS & Perception Engineer with 9 years of experience in autonomous mobility and automotive software development\.My expertise spans radar\- and camera\-based perception, multi\-sensor fusion, and safety\-critical ADAS functions such as LKA\. I have designed and stabilized state\-machine\-based classification algorithms, resolved EKF\-related fusion issues, and optimized YOLO\-based object detection models for real\-time embedded automotive platforms\.I bring strong hands\-on experience in Model\-Based Development using MATLAB/Simulink and TargetLink, along with embedded C/C\+\+ development\. I also have a solid foundational understanding of machine learning concepts relevant to perception systems, enabling effective collaboration with ML teams and informed decision\-making around model behavior and performance\.In addition to technical depth, I have led and mentored engineering teams, collaborated closely with radar, simulation, HIL, and driving\-function teams, and acted as a technical interface for customer issue analysis and solution alignment\.I am particularly interested in senior perception, sensor fusion, and safety\-critical ADAS roles where deep technical ownership and system\-level thinking are valued\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

gemini

github copilot

openai

## Work experience

Senior Technical Lead at AUMOVIO, Oct 2025 \- Present · 11 mos, Bengaluru, \-\-\-Led POC development of CNN\-based object detection using front\-view automotive camera for real\-time ADAS applications\. \-\-\-Curated and labeled datasets; trained and validated YOLO models on GPU systems and exported optimized inference\-ready weights\. \-\-\-Optimized YOLO architecture to achieve improved accuracy–latency trade\-off, enabling real\-time deployment on automotive camera hardware\. \-\-\-Integrated, flashed, tested, and debugged perception algorithms on production\-intent automotive camera platforms\.

Senior Technical Lead at Continental, Jan 2024 \- Oct 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, Worked as a Radar Algo Developer to evaluate and provide classification of road users\.

Technical Lead at Continental, Sep 2021 \- Jan 2024 · 2 yrs 5 mos, Bengaluru, Karnataka, India, Product Owner, Led CEM \(Comprehensive Environment Model\)\-Perception/Localization Application SW team\. \-\-\- Work closely with customer and cross\-functional teams\. \-\-\- Identify issues, debug code and perform bug fixing in the code base\. \-\-\- Diagnosed and resolved inconsistencies in EKF algo in Localization and Traffic Objects Fusion\.

Engineer at Mercedes\-Benz Research and Development India, Oct 2019 \- Sep 2021 · 2 yrs, Greater Bengaluru Area, \-\-\-Developed and owned of the function models for vehicle theft alarm system, LIN Gateway for ambient lightening, seat functions and glove\-box sanitation\. \-\-\-Performed autocode generation using TargetLink\. \-\-\-Performed model quality and compliance checks using MXAM\. \-\-\-Developed test harness to validate functional behavior, boundary conditions, and failure cases\.

Senior Software Engineer at KPIT, Jan 2019 \- Sep 2019 · 9 mos, Bengaluru Area, India, Development and validation of Sensor Fusion algorithms in Simulink/Matlab and IPG CarMaker\.

Software Engineer at KPIT, Jun 2017 \- Dec 2018 · 1 yr 7 mos, Bengaluru Area, India, 1\. Development of Lane Keep Assist \(LKA\) in Simulink/Matlab\. 2\. Perform Unit testing \(MIL/SIL\)\. 3\. Perform Auto\-code generation using Targetlink\. 4\. Perform functional testing using IPG CarMaker\.

Research Assistant at National Institute of Technology, Tiruchirappalli, Jun 2016 \- Jun 2017 · 1 yr 1 mo, Tamil Nadu, India, Worked on the design and development of Non\-inductive Capacitive sensor for liquid level measurement\.

## Education

MS\(Research\), Instrumentation and Control Engineering, National Institute of Technology, Tiruchirappalli

BE, Electronics & Instrumentstion, Chhatrapati Shivaji Institute Of Technology, Durg \(Chhattisgarh\)

[View the original profile](https://tal.club/meet/siddharth-bardiya)

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