Headline

Applied ML & Computer Vision Engineer | Real-World Vision and Sequence Modeling

About

I bring over 11 years of experience working in safety-critical automotive systems, where reliability, failure analysis, and system behavior under edge conditions are non-negotiable. That engineering foundation now informs my work in applied machine learning and computer vision. Over the last few years, I have been building real-world vision systems end to end. My work includes driver drowsiness detection using facial landmarks and sequence-based modeling, as well as pothole detection and localization using object detection pipelines built with PyTorch, YOLO-based models, and OpenCV. I have also worked on vision-based gesture control and road-surface classification systems aimed at driver assistance and safety. I completed a Post Graduate Diploma in AI and Machine Learning from IIIT-Bangalore, which strengthened my grounding in model development while my engineering background ensures a focus on robustness rather than demo-only accuracy. I am interested in applied computer vision and machine learning roles where real-world constraints, system reliability, and end-to-end ownership of ML solutions matter.

Location

Bengaluru

AI stack

anthropic apis

antigravity

github copilot

langchain

Work experience

Senior Technical Architect at AUMOVIO, Sep 2025 - Present · 1 yr 1 mo, Bengaluru, Karnataka, India, • Continuing system-level architecture and validation responsibilities following organizational separation from Continental • Working on the same safety-critical automotive systems with emphasis on system behavior, diagnostics, and robustness • Supporting automation and analysis workflows to ensure continuity and efficiency across the transition • Collaborating with cross-functional teams to maintain system reliability and validation quality

Senior Technical Architect at Continental, Jan 2024 - Sep 2025 · 1 yr 9 mos, Bengaluru, Karnataka, India, • Led system-level validation for safety-critical Electronic Braking Systems across multiple vehicle platforms • Designed and executed HiL/SiL test strategies with focus on system behavior, failure modes, and real-world operating conditions • Automated MMI and manual testing workflows to reduce validation effort and improve repeatability • Built Python automation for test report generation and structured log extraction and storage to support efficient system analysis • Analyzed large volumes of signal data, logs, and time-series outputs to identify anomalies and performance deviations • Collaborated with software and system teams to trace issues across the full system stack. • Developed a strong system-thinking mindset around robustness, diagnostics, and reliability—skills directly applicable to ML-driven systems

Technical Architect at Continental, Jan 2022 - Dec 2023 · 2 yrs, Greater Bengaluru Area, • Defined and executed HiL and SiL test scenarios for Electronic Braking Systems to validate functional behavior and system interactions • Analyzed system responses under normal, boundary, and fault conditions to ensure compliance with safety and performance requirements • Supported integration testing across software and system interfaces in simulated environments

Technical Specialist at Continental, Jan 2021 - Jan 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India, Technical Specialist in System Test for Electronic Braking System.

Technical Lead at Hyundai MOBIS, Mar 2014 - May 2018 · 4 yrs 3 mos, Hyderabad, Telangana, India

Education

Post Graduation Diploma, Machine Learning & Artificial Intelligence, International Institute of Information Technology Bangalore

Bachelor of Technology (B.Tech.), Electronic and Communication Engineering, Government engineering college ajmer

Public links

github: https://github.com/aashiswar1989