Tilak D Email & Phone Number

Pittsburgh, Pennsylvania, Us

Dearborn, Michigan, Us

Leadership:1. Leading 2 cross-functional global teams working across 4 timezones with 20+ engineers in totalacross CV, DL, Cloud, Frontend, and Backend engineering roles.2. Established a high-performing cross-functional team for a Computer Vision Data management platform capable of managing Pbs data and a team to improve vehicle perception in extreme camera blockage conditions (Operational design domain (ODD))3. Leading development of scalable production grade Retrieval-Augmented Generation (RAG) systems for multi-modality data used in Vehicle design, warranty claim usecases.4. Leading a team of 10 data scientists to improve ADAS perception in extreme camera blockage conditions involving large scale synthetic data generation (using traditional image processing, Unity3D and GenAI), active learning, annotations and analytics.4. Drive innovation in the team, participate in hackathons and conferences, grow patent worthy ideas.5. Successful negotiations and talent retention. Growth of right talent.Technical:1. Lead development of a Deep Learning Transformer based Image search capability on Automotive Data, specially for ADAS and AVs.2. Developed and integrated various DL based CV models for Image Captioning, Image and Video Segmentation, In-vehicle sensing and driver monitoring, multi-task multi-sensor fusion 3D object detection on Cloud (On prem HPC Cluster and Google Cloud Platform)3. Processing of one of the Ford's largest ADAS dataset used to validate Bluecruise4. Lead development of a Large Scale Automotive Video Caption Dataset for Search and Generative AI5. Development of a Transformer based Video Extraction computer vision model. This model will be used to search for ADAS videos and exact occurrence timestamps from a dataset with over 500k videos.6. Development of internal image and video annotation tool to support search and generative AI capability7. Research and development of ADAS specific controlled image generation model

San Francisco, California, Us

Setting up, growing and operationalizing India design center's Perception team to help solve the challenging problem of autonomous mobility through innovation in LiDAR sensors and self-driving software.Successful collaborations initiated with globally team in the research and development of Deep Learning based 3D perception for both indoor and outdoor use cases.Worked with marketing and sales group to foster customer and partner opportunities in India for lidar-based solutions. Successful collaboration established in development of autonomous tanks, airplane hanger collision avoidance and autonomous taxis.Knowledge sharing sessions to bring in ML, DL, CV and NLP awareness for hardware teams.Conducted more than 50 interviews to bring in Senior DevOps engineers for the Firmware team.

Dearborn, Michigan, Us

Leadership:1. Product Owner for Computer Vision Core Platform, an end to end platform for Ford Engineers, Scientist, Technical Experts and Managers for their CV and DL work focused on ADAS, Manufacturing, Smart Cities and AVs. This involves petabytes of perception data management with Inference As A Service, Pipeline As A Service, Search, Analytics along with Model training capability using the on-prem high performance cluster.2. Designed the platform from ground up. Was part of various planning, financial and human management discussions to bring to product to light.3. Leading a group of ~10 Data Scientist and Technical Experts in development of various ML components on model training4. Setting and managing up of a production team containing Product Manager, Technical Anchor, Frontend and Backend engineers in making the code production grade5. Bringing in collaboration between Data Science and Software engineering team and running the project in Agile fashion with test coverage, code quality and other internal metrics and security auditsTechnical:Computer vision research and product development for Ford self-driving technology to,1. provided automated 3D mapping platform for Autonomous Vehicles (Transportation As A Service) using Semantic Segmentation of LiDAR point clouds and RGB Camera data. 2. built deep learning perception algorithms running in our edge nodes strategically placed at intersections to help self-driving cars navigate blind spots in cities.3. provided deep learning based 3D depth extraction algorithms from monocular cameras. Developed high accuracy depth perception NNs for seasonal variation in weather, lighting, construction and traffic conditions experienced in dynamic urban environments. 4. creation of the Argoverse and Ford self-driving depth datasets.5. worked with gaming engine developers to create unusual real-world scenarios and used GANs to translate simulated images to photo-realistic images to use it for model retraining.

Dearborn, Michigan, Us

With the autonomy given to conduct original research and to choose appropriate methodologies to solve world-class Deep Learning problems, I provide end to end Computer Vision solutions using python and cuda programming with C for, 1. Quality and safety inspection systems in Ford's Global Manufacturing Plants2. Driver State Monitoring research involving 3D Face Reconstruction and Dense Alignment with Position Map Regression (Patent).3. Vehicle Perception (object detection, lane and drivable area detection, depth estimation), Collision Warning & Mitigation and various other Advanced driver-assistance systems (ADAS) using cameras and lidars for Ford Autonomous Vehicles. 4. Collaborated with teams working on Smart City tech on city information extraction using Autonomous Vehicle 360-degree cameras feed. Prototype built to detect, segment parking sign and extract information all around the city of London.5. Extended and Augmented reality based vehicle repair products involving DL and edge device computing.6. Along with model development, I take the developed model to the users at scale through Flask, Dockers and container-orchestration systems like Kubernetes through products like Vehicle Damage Detection, Face Recognition and Aspect Based Sentiment Analysis.As a member of Ford AI Advancement Center, I work with the core researchers and application developers to develop Ford's DL/ML pipeline using which users can go from uploading their data till deployment in few clicks.Successfully initiated global collaboration, lead to development and success of various news projects.

Dearborn, Michigan, Us

Worked towards developing various Connected Vehicles, Vehicle Energy Management and Language Translation products.

Dearborn, Michigan, Us

I had the opportunity to engage in a diverse range of rotational job assignments across various departments including Product Development, Purchasing, Manufacturing, and Connected Vehicles. These experiences allowed me to enhance my business acumen and technical skills by providing rapid exposure to a wide array of business activities. This unique and dynamic environment has significantly contributed to my professional growth and development, equipping me with a well-rounded skill set and a comprehensive understanding of the automotive industry.

Mountain View, California, Us

As a consultant for Udacity, an esteemed educational platform, I leverage my expertise in Machine Learning and Deep Learning, particularly in Computer Vision (CV) and Natural Language Processing (NLP). My role involves conducting project reviews and offering mentorship to students, drawing upon my in-depth knowledge and strong communication skills to provide comprehensive support services.Throughout my tenure as a mentor, I have successfully guided over 3000 students and currently oversee the progress of 500+ individuals specializing in Machine Learning & Deep Learning. I am committed to delivering personalized feedback and actionable guidance on projects related to CV, NLP, data analytics, and autonomous vehicle operation utilizing CNN, RNN, GAN, and Deep RLs, thereby facilitating their successful completion of the Nanodegree program.

Bachelor Of Engineering (Be), Electronics And Communications Engineering

Artificial Intelligence Engineer Nanodegree

Machine Learning Engineer Nanodegree

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