Aravind Giri Email and Phone Number

Working with the product managers and solution owner to curate demonstrable solutions in TCS Pace Port - Carnegie Mellon University in the USA.• Implemented an AI-driven hyper-personalization feature using prompt engineering, boosting user engagement and increasing customer acquisition• Worked on PoC, which leverages Robotics + LLM + Autoware to interact with Autonomous vehicles.• Catalogue and create a Bill of Materials for all hardware-related AI solutions that could be replicated throughout TCS Pace Port Globally.

Worked on several Proof of Concepts (PoCs) involving the applications of Computer Vision, Deep Learning, ROS, Autoware, etc., across diverse domains like Agriculture, Manufacturing, Automotive, and Quality Inspection. Collaborated closely with the Product Manager(TCS - Smart Mobility Group) to understand customer requirements, providing valuable feedback for developing new features.• Optimized the data processing workflow for extracted data from rosbags in Autonomous Vehicles, tailoring it for optimal efficiency in model training tasks.• Built Mock-up screens for various product features, and the product is a certified AWS Automotive Competency.• Demonstrating in-house platforms and solutions to stakeholders like CTOs, CIOs and Global heads.• Generate and calculate calibration matrix values required for projection 3d and 2d bounding box between lidar and camera for different sensor stacks and frame mapping.• Worked on multiple RFCs for AI solution development and annotation services alongside the product manager and GTM team.• Took part in the In-House Sustainability Hackathon within the organisation, securing a place among the top 5 finalists.• Part of the TCS recruitment team for recruiting Python Developers and Annotators required for our project, Who are currently part of the team.• Part of the team that won the Intel Incubator challenge under best use of IP-Safe solution usage for demonstrating road hazard monitoring capability using Intel Neural stick, where I built a scaled Autonomous vehicle.

Joined TCS - Autonomous Vehicle Strategic Initiative group working on C.A.S.E(Connected, Autonomous, Shared, Electric). I was trained in developing custom train object detection models using an SAS-based computer vision platform and was exposed to the field of Autonomous vehicles.• Designed and orchestrated the model development cycle to enhance pre-annotation for a more efficient annotation process.• Built and demonstrated a Social Distancing solution utilising Computer Vision and Object Detection model and participated in the SAMHAR-COVID-19 Hackathon.• Analysed and curated training data for a custom class semantic segmentation model training.• Strategized and planned Annotation workflow for the Autonomous Tractor development program(Bailing Operation) built for the US region.

Successful renewal of the partnership with the college based on previous year's experience.- Conducted classes on 2d object detection, Ml model development life cycle, Multiple Sensor capabilities in AV, interactive demos and sessions on computer vision using open source tools in the market

Collaborated with the college and other partners to create the curriculum and conduct classes for Intelligent Transportation Major at EFREI Paris• Led and designed curriculum for ST2NAPE and ST2SSSI, covering Perception Stack, Sensor Fusion, Camera Calibration, Object Detection, and practical lab work.• Developed study materials, practice notebooks, and assignment questions in collaboration with other experts.• Conducted classes and practical labs for 16 students with other colleagues, created exams, and graded students based on assignments and exams.• Successful completion of the partnership for 2022 led to the renewal of the alliance for 2023 year as well.