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Vijay Bhardwaj

@vijaybhardwaj

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Senior AI/CV engineer driving production ADAS perception solutions.

India

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What I'm looking for

I seek senior roles leading production ADAS perception and ML infrastructure—delivering embedded CV models, scaling training pipelines, and driving end-to-end deployment in pragmatic, collaborative teams.

I am a senior AI and computer vision engineer with deep experience building and deploying CNN-based perception systems for ADAS, and leading cross-functional teams from research through production. I focus on practical model tuning, multi-GPU distributed training, quantization and embedded deployment to automotive hardware.

My work has produced measurable gains — region-specific data curation and tuning improved mAP and F1 for traffic sign detection, and a U.S./Canada adaptation delivered +35% AP and +27% F1 for a commercial client. I modernize ML infrastructure and pipelines, migrating experiment tracking and cloudifying data ingestion to support reliable model training.

I have a strong systems background in C/C++ and Python and substantial hands-on experience with TensorFlow, PyTorch, OpenCV, Docker, Kubernetes and embedded targets (Renesas V3H). I seek roles where I can lead technical delivery of production-grade perception stacks and continue scaling ML infrastructure and GenAI tooling for synthetic data and efficient model adaptation.

Experience

Work history, roles, and key accomplishments

Current

CNN Product Owner

Current

Aumovio/Continental

Sep 2021 - Present (4 years 5 months)

Led development and deployment of multi-task CNN models for ADAS perception, improving mAP and F1 by ~3% regionally and driving a 35% AP / 27% F1 gain when adapting models across geographies; managed a team of 5 and oversaw multi-GPU training, quantization and Renesas V3H deployments.

Python C C++TensorFlow PyTorch CNN Distributed Training Docker Kubernetes Model Quantization

Product Owner

Bebo Technologies

Jul 2019 - Sep 2021 (2 years 2 months)

Owned backend development and maintenance of SIERRA Integrated Library System, extending legacy C business logic and improving API/socket communication to support global library operations while ensuring stability with PostgreSQL and Lucene integrations.

C++Java Socket Programming PostgreSQL Lucene API Design Shell Scripting

Senior Software Engineer

Kritikal Solutions

Jun 2017 - Nov 2018 (1 year 5 months)

Improved optical flow performance for automotive perception, increasing night-time optical flow density by 2% and integrating a dense front-camera module into a Surround View SFM pipeline for enhanced motion estimation delivered to Toyota.

C++Python OpenCV Keras TensorFlow Computer Vision

Lead Engineer

Advenio Tecnosys

Dec 2016 - Jun 2017 (6 months)

Designed and implemented fundus-image computer vision algorithms detecting microaneurysms and hemorrhages with >90% accuracy and integrated C/C++ vision modules with a Java UI via JNI for real-time diagnostic feedback.

C C++Java Java JNI OpenCV Python Machine Learning

Project Fellow

CSIR-CSIO

Aug 2013 - Dec 2016 (3 years 4 months)

Developed real-time head-gesture wheelchair control and a prototype 3D stereo vision system for robotic surgery, enabling hands-free mobility control and real-time 3D visualization for minimally invasive procedures.

C C++Matlab OpenCV Dlib Embedded Systems

Education

Degrees, certifications, and relevant coursework

Kurukshetra University

Bachelor of Technology, Electronic and Communication Engineering

2008 - 2012

Activities and societies: Project work: Generative AI for Automotive Perception Data Augmentation (PoC, 2025); Multi-Input RegNet for Traffic Sign Detection (2024); Lightweight ML Model Integration on Renesas V3H (2022); FaceFeat facial feature detection (2015).

Completed a B.Tech. in Electronic and Communication Engineering with project work focused on computer vision and generative AI techniques for automotive perception and related ML/CV topics.