Veeresh Sanikop

About Veeresh Sanikop

I’m a Senior Perception Engineer with 6+ years of experience building computer vision and deep learning systems for real-world, performance-critical applications.My work focuses on developing scalable and efficient ML systems across the full lifecycle — from data engineering and model development to optimization, evaluation, and deployment, including on resource-constrained and embedded platforms.I started my career working on core computer vision and deep learning problems, gaining hands-on experience with model experimentation, architecture design, and deployment on edge devices. Over time, I expanded into system-level challenges involving performance optimization, model efficiency, and designing reusable evaluation and validation frameworks.Currently, I work on advanced perception systems, where I design and develop end-to-end pipelines and contribute to system integration and production-grade deployments. My work includes:• Architecting end-to-end ML/perception systems across the full lifecycle• Optimizing deep learning models for real-world constraints (latency, memory, compute efficiency)• Deploying models on embedded/edge platforms and improving runtime performance• Driving data-centric improvements through dataset engineering and benchmarking frameworks• Contributing to system-level integration, validation, and scalable deployment pipelinesI’ve also explored emerging areas such as Vision-Language Models and scalable auto-annotation workflows, while contributing to patents and cross-functional innovations.I’m particularly interested in building efficient AI systems that bridge deep learning with hardware and real-world constraints — where performance, scalability, and reliability are equally critical.Skills: Computer Vision, Deep Learning, Edge AI, Model Optimization, Python, C++, SQLFrameworks/Applications: Git, Tensorflow, Keras, MongoDB, Jupyter, Anaconda

Experience

1. Senior Engineer - Perception

   Mercedes-Benz Research And Development India

   Oct 2023 — Present · Bengaluru, IN

   Developed Parking Perception – End-to-End Parking Slot Detection, Calibration and 3D Localization -> Pose based Parking Slot Detection using SOTA Models(YOLO, Polygon Detection)-> Dataset engineering - Keypoint annotation strategy, class imbalance handling and difficult-case sampling -> Training and optimization with loss tuning and performance vs runtime trade-off evaluation -> Fisheye camera calibration for Surround View Cameras using OpenCV -> 2D to 3D projection using pixel-to-ray mapping and ground plane intersection for real-world slot geometry estimation -> KPI evaluation and benchmarking framework for structured performance reporting• Radar Perception – Radar Free Space Development(ADAS L2/L2++)-> Developed Radar Point Cloud Based modules including Clutter filtering, Occupancy Grid, Segmentation Grid and Obstacle Extraction with quality and test cases -> Interface development and system-level integration within radar perception pipeline in collaboration with global teams, including onsite work in Germany -> Implemented KPI evaluation pipeline including data loaders, evaluation components and benchmarking methodology• Toolchain, Validation Framework Development -> Enhanced Radar Analysis Tool(Video Loader, Display) including optimization(~25% improvement) for improved debugging -> Contributed to development of perception validation framework including checker/evaluation modules, workflow orchestration, Docker based execution pipelines and visualization/dashboard integration• Cross Functional Topics Development -> Vision-Language Model (VLM) and End to End perception exploration including data preparation, labeling strategy and training pipeline -> 2D auto-annotation workflow development for scalable dataset generation -> Developed Streamlit based GUI for Test Case Generation Chatbot for scalable usage -> Technical exploration of perception algorithms and system design discussions -> 2 Patent Applications

Education

• Rashtrotthana Vidya Kendra, Dharwad

  Metriculation, Science, Mathematics, Social Science, English and Kannada

  2012 — 2013

• KLE Technological University - Hubballi (India)

  Bachelor of Engineering - BE, Computer Science

  2015 — 2019

• Sachethan Pre-University College, Hubli

  12th, Physics, Chemistry, Mathematics and Biology

  2014 — 2015