Instructor Assistant - Autonomous Robotics
Served as teaching assistant for Autonomous Robotics course at UMich. Supported students with motion planning, localization, control systems, and ROS implementation through lab exercises and office hours.
This photo is from my first visit to Michigan in mid April. Despite the two jackets, I was freezing because it was about 28 degrees outside.
Hi everyone! Welcome to my website. My name is Vaibhav and I'm a senior at the University of Michigan. I am extremely interested in artificial intelligence, especially as it relates to robotics. That's why I am double majoring in both computer science and robotics. This summer I interned on the Edge AI team at Amazon. I also worked with Stryker to create a stretcher capable of navigating a hospital autonomously. Some of my interests outside of work involve playing basketball, practicing guitar, and reading books.
Served as teaching assistant for Autonomous Robotics course at UMich. Supported students with motion planning, localization, control systems, and ROS implementation through lab exercises and office hours.
This semester I am taking Theory of Computation and Building Robots. These classes are pushing the boundaries of theoretical computer science and practical robotics implementation.
Conducting advanced research in the University of Michigan Field Robotics Group, fusing neural networks with camera data to dramatically improve Simultaneous Localization and Mapping (SLAM) accuracy for underwater robotic systems.
Engineered a full-stack navigation system for autonomous hospital stretchers using SLAM, path planning, and sensor fusion. Tuned localization algorithms to maintain accuracy during high-speed movements in dynamic environments.
Served as teaching assistant for SLAM course at UMich. Supported students with localization, mapping algorithms, and sensor fusion through lab exercises and office hours.
This semester I took four classes: Robot Operating Systems, Reinforcement Learning, AI Compilers, and Technical Communications. It was an extremely intense semester with three project-based classes and one focused on communication skills.
Edge AI Team at Amazon Lab 126. Engineered an automated Python-to-hardware pipeline for custom neural processors, built instruction set simulators, and deployed tensor decomposition algorithms achieving memory safety and sub-second simulations.
This semester I am taking 3 technical classes: Natural Language Processing, Quantum Computing, and Robot Dynamics and Simulation. My favourite was NLP where we built a model to predict Python docstrings.
I took four classes this semester: Operating Systems, Parallel Programming with GPUs, Simultaneous Localization and Mapping, and Technology Inspired Entrepreneurship. This was an extremely intense semester with three project-based classes.
Kudan Robotics: Integrated proprietary SLAM software with 3D Lidars and quadruped robots (Unitree/Spot). Tuned ROS kinematic parameters to achieve sub-centimeter localization accuracy and standardized deployment protocols for enterprise robotics.
Winter 2024 was a challenging but rewarding semester with significant progress in my computer science and robotics education, including completion of my Kudan internship.
This was the first semester of sophomore year where I finally started to feel like I was understanding computer science. I took three classes: Data Structures and Algorithms, Principles of Machine Learning, and Human-Robotic Systems.
This summer I focused on classes at community college to get transfer credit at Umich. I took Differential Equations, Discrete Math, Multivariable Calculus, Physics – Electricity and Magnetism, and Statistics.
Winter 2023 was my second semester of freshman year where I finally felt like I was figuring out college. I took four classes: Introduction to Data Structures and Algorithms, Introduction to Computer Logic, Introduction to Engineering, and Introduction to Data Science.
Fall 2022 was my first semester at the University and I had a lot of fun getting to know campus and trying out new things. I took four classes: Computational Linear Algebra, Introduction to Algorithms and Programming, Introductory Physics – Mechanics, and Emperors of Rome.
Ongoing research at George Mason University studying how viruses manipulate immune cell responses through ion channels, with focus on SARS-CoV-2 proteins and cell modeling.
Research project from 2020-2021 at George Mason University analyzing amyloid-beta peptide structures using molecular simulations and machine learning to understand Alzheimer's disease aggregation.
In high school, I took 19 AP Classes including Math, Science, History, English, and more. Clubs included Speech and Debate and DECA.
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MHacks 2024 winner. AI-powered educational tool that converts text into engaging video lectures with synchronized visuals and audio narration.
Machine learning project classifying music into subgenres using audio feature extraction and neural networks.
AR educational guide teaching users complex actions through interactive, step-by-step visual instructions.
Statistics-based algorithm that guarantees Wordle success through probability analysis and optimal word selection.
Intelligent chatbot answering Amazon product queries using NLP and real-time web scraping.
4-function calculator implemented on FPGA using Verilog, featuring bit-level arithmetic and state machine design.
Complete Euchre card game implementation in C++ with AI opponents and full game logic.
Autonomous robot navigating real-world mazes using computer vision, SLAM, and path planning algorithms.
Completing my dual Bachelor's degrees in Computer Science and Robotics Engineering at the University of Michigan. Four transformative years of learning, research, and hands-on experience in AI, robotics, and software engineering.
Multidisciplinary Project with Stryker to build autonomous stretcher navigation system using SLAM, path planning, and sensor fusion for hospital environments.
Edge AI Team at Amazon Lab 126. Engineered automated Python-to-hardware pipeline for custom neural processors, built instruction set simulators, and deployed tensor decomposition algorithms.
Integrated Kudan's SLAM software with 3D Lidars and quadruped robots (Unitree/Spot). Achieved sub-centimeter localization accuracy through ROS parameter tuning and standardized deployment protocols.
Began my academic journey at the University of Michigan pursuing dual degrees in Computer Science and Robotics Engineering. Immersed myself in machine learning, computer vision, autonomous systems, and cutting-edge AI research.
Researching how viruses use ion channels to manipulate immune cell responses, with focus on SARS-CoV-2 proteins. Developed cell models incorporating potassium, sodium, and calcium ion channels to simulate immune cell variations.
Attended Basis Independent Silicon Valley, completing 19 AP classes across Math, Science, History, English, and more, plus advanced post-AP courses. Active in Speech and Debate and DECA clubs.
First author on research paper published in Biomolecules Journal. Used machine learning to analyze molecular simulations of amyloid-beta structures, identifying key amino acid residues for Alzheimer's disease aggregation and signaling.