Mohanen Balasubramanian
Deep Learning
Computer Vision
AI Systems
Senior Lead Engineer
Passionate about advancing AI through Deep Learning and Computer Vision. Specializing in neural networks, multi-task learning, and real-time perception systems for autonomous driving.
Professional Experience
Valeo, Chennai, India
FEB 2021 - PRESENTSenior Lead Engineer (AI R&D)
- Multi-Task BEV Network (2025): Developed and optimized a unified neural network with shared encoder and multiple decoders for parametric lane and object detection; led the implementation of parametric lane detection from scratch and multi-task training strategy.
- Lane Detection (2024): Built a point-based lane detection algorithm in Bird's Eye View using surround-view camera projections; implemented core BEV lane detection modules from the ground up.
- Multi-Task Learning (2023): Contributed to a multi-task model supporting soiling detection, segmentation, object detection, and more; focused on trailer tracking and emergency vehicle detection decoders.
- Targetless Trailer Tracking (2022): Customized a vision + kinematics fusion algorithm with UKF for trailer tracking to meet BMW's ADAS architecture needs.
- End of Line Calibration (2021): Engineered feature detection and cost functions for custom target-based camera calibration, minimizing reprojection error without traditional checkerboards.
- Motion Tracking Calibration (2021): Maintained and debugged dynamic camera extrinsics estimation using motion vector-based cost optimization for surround-view systems.
E-con Systems / VisAi Labs, Chennai, India
MAY 2016 - JAN 2021Project Engineer
- Individual Contributor.
- Developed algorithms for computer vision applications (stereo depth, calibration, 2D processing, feature detection, 3D reconstruction, noise removal, clustering, measurements).
- Developed products from scratch to production, with hands-on experience in system design and development.
- Mentored team members and planned tasks for developed products.
Key Projects
Multi Task BEV Network
Valeo (Driving Perception Platform) | 2025- Multi-task BEV model for parametric Lane detection and Object detection.
- Single encoder, multiple decoders for various tasks.
- Created and improved Parametric Lane Detection implementation from scratch and Multi-task training.
Lane Detection
Valeo (Driving Perception R&D) | 2024 - 2025- Point-based Birds Eye View Lane Detection.
- Projects features from 4 surround-view cameras to BEV grid for lane detection.
- Created and improved Point-based Lane Detection implementation from scratch.
Multi Task Learning
Valeo (BMW, Stellantis) | 2023 - 2024- Multi-task model: soiling detection, segmentation, object detection, privacy protection, trailer tracking.
- Single encoder, multiple decoders.
- Worked on Trailer tracking and Emergency Vehicle detection decoders.
Targetless Trailer Tracking
Valeo (GM, BMW) | 2021 - 2022- Tracks trailer for ADAS (jackknife prevention, automated parking/reverse).
- Vision + kinematics fusion with Unscented Kalman Filter (UKF).
- Customized algorithm architecture for BMW requirements.
vMeasure - Object Dimensioning Solution
Vis-Ai Labs | 2019 - 2020- Estimates 3D object dimensions (L, B, H).
- Uses stereo cameras for depth -> point clouds -> noise removal -> custom min bounding box.
- Developed from scratch; involved in system design, engineering, KPI creation, testing, estimation.
End of Line Calibration
Valeo (BYD) | 2021 - 2021- EOL Calibration using custom targets instead of checkerboards.
- Finds known feature points and minimizes reprojection error.
- Developed feature point detection and cost functions for custom targets.
Motion Tracking Calibration
Valeo (GM, FORD, BMW) | 2021- Dynamically estimates surround-view camera extrinsics while vehicle is moving.
- Block-based motion tracking and cost function using motion vectors.
- Maintained algorithm and implemented bug fixes.
Stereo Presentation Attack Detection
Vis-Ai Labs (Fujitsu) | 2019- Spoof detection system for ATM face authentication (Spain/Fujitsu).
- Uses stereo camera depth to detect human face presence vs. spoofs (photos, tablets).
- Prototyped VGG16 model using depth features, securing the project.
TaraXL - Stereo Camera
Vis-Ai Labs | 2018 - 2019- Outputs depth map along with image.
- Uses pixel disparity and triangulation for depth.
- Developed Semi-Global Matching (SGM) algorithm from scratch; optimized with CUDA for Jetson Nano.
EsomGears & Health Monitor
Vis-Ai Labs | 2016 - 2018- OTA and device stat monitoring for Linux/Android.
- Uses Ostree (Linux) / native interfaces (Android) for OTA; MQTT to AWS IoT Hub for stats.
- Developed cloud-side from scratch; worked on device monitoring daemon service.
Personal Project: Déjà Vu
2020 - 2021An open-source cheatsheet project to document learnings in Computer Vision.
Technical Skills
Core Technical
Programming & Tools
General
Awards & Recognition
Innovation Award
Valeo (2022)
High Flyer Award (4)
Valeo (2021-2023)
Employee Of the Month (6)
Valeo (2021-2024)
Emerging Engineer Award
E-con Systems (2019)
Education
M.Tech Artificial Intelligence & Machine Learning (Deep Learning Specialization)
8.2 CGPA
BITS Pilani, WILP, India
2022 - 2025
BE Computer Science & Engineering
7.6 CGPA
PERI IT, Chennai, India
2012 - 2016
HSC Computer Science
88%
Jaigopal Garodia National, Chennai, India
2010 - 2012