Shravan S Rai - AI, Computer Vision & Autonomous Systems Engineer

Technical Expertise

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Autonomous Systems

Advanced robotics navigation, SLAM algorithms, and autonomous mobile robot development

ROS/ROS2 SLAM Navigation Path Planning Localization

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Computer Vision

Deep learning models for object detection, pose estimation, and real-time video processing

OpenCV TensorFlow PyTorch TensorRT Object Detection

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Autonomous Driving

Sensor fusion, control systems, and simulation for autonomous vehicle development

CARLA Sensor Fusion Control Systems LiDAR Kalman Filters

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IoT & Edge AI

Edge computing, real-time AI processing, and IoT device integration

NVIDIA Jetson Edge AI Azure IoT Docker CUDA

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AI & Machine Learning

LLMs, reinforcement learning, and neural network optimization for embedded systems

Deep Learning Reinforcement Learning LLMs ONNX Model Optimization

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Real-Time Systems

Low-latency processing, motor control, and real-time embedded system development

C++ Real-Time Embedded Motor Control FPGA

Professional Experience

Teladoc Health

Santa Barbara, California September 2020 – Present

Software Engineer III

Current Role

Spearheading the development & implementation of a computer vision AI assistant for a patient observation system for hospital staff who act as virtual observers working remotely to prevent patient falls in US Health systems.
Developed a real-time Voice Assistant for patients and staff as an initiative towards Smart hospital rooms with Ambient listening using Whisper and BERT on edge devices for enhanced performance and privacy.
Benchmarking SLMs like Qwen 2.5 with vision and audio capabilities, leveraging AI+PC capabilities with NPU for learning about federated inference and hybrid systems for patient observation.
Conceptualized an AI side-car device that works alongside the main telepresence system to perform local AI processing of audio and video enabled through peer-to-peer WebRTC technology.

Computer Vision Edge AI Whisper BERT WebRTC

Robotics & Innovation Engineer II

Previous Role

Lead the implementation efforts on the Autonomous Mobile Robot Navigation Software project.
Enhanced the robot's mapping capability by transitioning from a Rao-Blackwellized Particle Filter-based SLAM algorithm to a factor-graph based SLAM algorithm using MRPT libraries.
Researched and Developed an A* based local planner for obstacle avoidance and navigation, optimizing the robot's pathfinding capabilities.
Actively collaborated with the creator from University of Almeria, Spain to develop MVSim simulation software for testing and debugging autonomous navigation.

ROS/ROS2 SLAM MRPT A* Algorithm MVSim

Robotics Researcher Intern

Initial Role

Crafted a state-of-the-art person-following system for a Tele-Presence Robot by seamlessly integrating the person-following system into the existing autonomous navigation stack.
Implemented a person detection, tracking, and reidentification system using edge computer vision models with TensorFlow Lite (Tflite) and depth information, achieving real-time detection and maintaining efficient tracking within a 1.2-meter distance.

TensorFlow Lite Person Detection Depth Sensors Real-Time Processing

Robert Bosch

Bangalore, India September 2017 – July 2019

Research Engineer, Motor Control

Full-time Role

Deployed Artificial Neural Network in the Control Algorithm for Switched Reluctance Motor Control on a Xilinx Zynq Ultra Scale + achieving computations in less than 5us.
Developed Virtual System Model (Digital Twin) of Switched Reluctance Motor and its Control in MATLAB/Simulink, aiding the rapid prototype development as part of the R&D project.
Developed Field Oriented Control algorithm for Permanent Magnet Synchronous Motor and BLDC motor for automotive applications.

Neural Networks Motor Control Xilinx Zynq MATLAB/Simulink Digital Twin

Education

Master of Science in Web Development & Health Informatics

May 2024 – May 2026

Westcliff University - Irvine, California

GPA: 3.86/4.0

Key Courses: Big Data Analytics and Visualization, Information Systems, Front-end Web Development, Back-end Web Development

Master of Science in Robotics and Autonomous Systems

Aug 2019 – May 2021

Arizona State University - Tempe, Arizona

GPA: 3.94/4.0

Key Courses: Vehicle Dynamics & Control, Multivariable Controls, Modelling & Control of Robots, Computer Vision & Pattern Recognition, Robot Learning, Optimal Control & Reinforcement Learning, Linear Systems Theory

Bachelor of Engineering, Electronics & Communication Engineering

Aug 2013 – Aug 2017

The National Institute of Engineering, Karnataka – India

GPA: 4.0/4.0

Key Courses: Robotics, C++ and Data Structures, Control Systems, Operating Systems, Computer Vision & Image Processing

Featured Projects

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Patent Pending

Auto Rounding for Virtual Nurse

Multi-modal AI system combining vision, SLM/LLM, and voice for automated patient rounding. Achieved 90% accuracy in vital sign extraction using edge AI processing.

Computer Vision LLM Edge AI Healthcare

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3rd Place Global

ICRA BARN Challenge

Autonomous mobile robot navigation system achieving 3rd place globally in both simulation and real-world rounds. Advanced path planning and obstacle avoidance.

ROS2 Navigation Path Planning SLAM

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Production

Virtual Sitter AI System

Edge AI application for patient fall prevention with real-time video processing. Deployed in hospitals with 40% reduction in false alarms.

Edge AI Computer Vision Healthcare Real-Time

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Research

Person-Following Robot

Autonomous person tracking system using TensorFlow Lite and depth sensors. Maintains 1.2m following distance with 95% accuracy.

Person Tracking TensorFlow Lite Depth Sensors Robotics

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Hackathon Winner

BiteScan - AI Nutritionist

OCR-based nutritional assistant with real-time personalized advice. Winner of "Most Innovative and Market Ready Hack" at company hackathon.

OCR AI Chat Mobile App Nutrition

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Open Source

MRPT-ROS Package

Advanced auto-navigation systems with efficient localization and dynamic path planning. Active contributor to open-source robotics community.

ROS/ROS2 Open Source SLAM Navigation

Awards & Achievements

Leadership & Service

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Vice-Chair, IEEE Standards Association

Standard P3493.1 - Secure, Compliant, Coordinated, and Inclusive Healthcare Data Recycling

Leadership

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Judge - ATA Nexus Innovators Challenge

American Telemedicine Association (ATA) Nexus'24 and Nexus 2025

Judge

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Judge - IEEE SA Telehealth Challenge 2025

Evaluating innovative telehealth solutions and technologies

Judge

Academic Recognition

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Peer Reviewer - Top Conferences

AISSS-2023, IPMV'24, BMVC-2024, BMVC-2025, RSS-2024, IJCNN2025, ICMI-2025

Academic

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Journal Reviewer

WIJAR, BMJ AI and Healthcare

Academic

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National Merit Scholarship

Ministry of Education, Govt. of India (Aug 2013 – Aug 2017) - 4-year scholarship for academic excellence

Scholarship

Competition Awards

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ICRA-2023 BARN Challenge - 3rd Place Global

Autonomous Mobile Robot Navigation Challenge - Both Simulation and Real-world rounds

Global Competition

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Teladoc Hackathon Winner - BiteScan

"Most Innovative and Market Ready Hack" - AI Nutritionist (July '23)