Robotics, Machine Learning, Computer Vision

SHIVA KUMAR DHANDAPANI

**********.*@************.*** LinkedIn GitHub +1-857-***-**** Boston, MA EDUCATION

NORTHEASTERN UNIVERSITY - Boston, MA, USA Sep 2023 – May 2025 MS in Electrical and Computer Engineering GPA: 3.5/4.0 Concentration: Hardware and Software for Machine Intelligence

• Coursework: Autonomous Field Robotics, Robotics Sensing and Navigation, Computer Vision, Machine Learning and Pattern Recognition, Foundations of AI, Wireless Sensor Networks and IoT, Fundamentals of Computer Engineering, Parallel Processing for Data Analytics

SRI RAMAKRISHNA INSTITUTE OF TECHNOLOGY - Coimbatore, TN, India Sep 2017 – May 2021 BE in Electronics and Communication Engineering GPA: 8.0/10.0

• Coursework: Micro processors and Micro controllers, Embedded Systems, Digital Image Processing, Communication Theory, VLSI Design, Computer Architecture and Analog Electronics, etc., TECHNOLOGIES

• Programming Languages: Python (Pyspark, TensorFlow, PyTorch, SciPy, NumPy, pygame, gym-idsgame), C, C++, C#, SQL

• Softwares: Linux, ROS, MS Visual Code, MS SQL Server, Gazebo, Proteus, Altium, SolidWorks, Git, Matlab, MS Azure

• Operating Systems & Tools: Linux (Ubuntu), Shell scripting, Git, Docker, Jetson JetPack, OpenCV, GTSAM, Open3D

• Robotics & Computer Vision Tools: SLAM, Odometry (Visual and LiDAR), OpenCV, Open3d, OpenGL CNN, Machine Learning, Reinforcement Learning (Q-Learning, SARSA, DQN, DDQN, Markov), CUDA, 3d Reconstruction, Algorithms & Optimizers

(Dijkstra, A*, Adam, iSAM, gtsam, LM, SIFT, CLAHE, ORB, Bundle Adjustment, Kalman Filters), CARLA

• Sensors and Devices: GPS, LiDAR, IMU, PIC microcontroller, ESP8266, GSM, RFID, PIR, PCB designing

• Network Tools & Communication Protocols: ns-3, CAN, I2C, UART, SPI, MAC, CSMA, TCP, UDP PROJECTS

Visual SLAM May 2025 - Present

• Designing a Visual SLAM system to estimate camera trajectory and reconstruct 3D scenes from monocular video streams

• Implementing feature detection, pose graph optimization, and loop closure in ROS to enable real-time performance

• Targeting robust localization with reduced absolute trajectory error on benchmark datasets (KITTI, EuRoC) and preparing for embedded deployment

AI AGENT FOR CYBERSECURITY USING REINFORCEMENT LEARNING Feb - Apr 2025

• Trained Q-Learning, SARSA, DQN, and DDQN agents in a partially observable Markov decision process (POMDP)

• Achieved >10% average reduction in attack success rate, validating reward shaping and stability across episodes

• Simulated adversarial behavior using OpenAI’s gym-idsgame to test strategic generalization of policies 3D RECONSTRUCTION WITH GTSAM Nov - Dec 2024

• Built Structure-from-Motion SLAM pipeline using SIFT feature matching and RANSAC

• Performed nonlinear bundle adjustment with GTSAM to refine 3D landmarks and camera poses

• Achieved accurate spatial alignment and visualized dense point clouds in Open3D IMPLEMENTATION AND ANALYSIS OF LIO-SLAM Feb - Apr 2024

• Integrated LiDAR and IMU data streams in ROS using Extended Kalman Filter (EKF) for robust localization

• Tuned sensor drivers and performed time synchronization for accurate SLAM outcomes, reducing trajectory drift by 30% SURVEILLANCE SYSTEM USING PIR SENSOR AND RFID Jun 2020 - Apr 2021

• Developed and integrated a low-cost surveillance system using PIR sensor, RFID, and a PIC microcontroller for smart security applications

• Developed the system to manage sensor interrupts, real-time signal processing, and RFID authentication

• Achieved over 50% reduction in power usage by optimizing data capture intervals and extending system memory efficiency EXPERIENCE

SYSTEM ENGINEER, Infosys - Chennai, India (Hybrid) Oct 2021 – Sep 2022

• Trained to develop and test web applications in MS Azure, and experienced in debugging backend systems, ensuring high availability and security compliance

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