Skip to content
View yojuna's full-sized avatar
10 followers · 32 following
  • RWTH
  • Aachen, Germany

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Highlights

  • Pro

Block or report yojuna

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
yojuna/README.md

Hi, I'm Anujoy

  • 🔭 Currently: Master's in Robotic Systems Engineering at RWTH, Aachen.
  • Interested in multimodal Perception,Task Planning.
  • Full Stack Platform developer from a previous life.

Skills

  • Programming: Python, C++, Java, Javascript
  • Robotics: ROS 1&2, Behavior Trees, Nav2, Gazebo
  • ML: Tensorflow, PyTorch, OpenCV, Scikit-Learn
  • Databases: MySQL, PostgreSQL, MongoDB, Redis, Kafka, Spark
  • DevOps: Docker, Kubernetes, Jenkins, Github Actions
  • Backend: Flask, Django, NodeJS
  • Frontend: ReactJS, HTML, CSS, WebAssembly
  • Academic: MATLAB, Simulink
  • Design: Fusion 360, SolidWorks, Photoshop, GIMP, Figma

💻 Tech Stack:

C++ JavaScript Kotlin Python Shell Script TypeScript HTML5 AWS DigitalOcean Netlify Django Express.js Flask Flutter OpenCV React NodeJS WebGL Three js Apache Nginx InfluxDB Redis MongoDB MySQL SQLite ApacheCassandra Figma Gimp Keras NumPy Pandas PyTorch TensorFlow scikit-learn APACHEKAFKA Docker Kubernetes GIT LINUX Arduino CMake

🌐 Socials:

LinkedIn

Resume / Profile

Experience

Aziobot, Eindhoven

  • Internship, Autonomous Navigation (Jun 2023 - Aug 2023)
    • Developed autonomous navigation algorithms in ROS for industrial cleaning robot SB2.
    • Developed Exploration (RRT*) and Coverage Path Planning algorithms for generating cleaning paths.
    • Integrated visual SLAM algorithms for obstacle avoidance and mapping.
    • Developed low level control using Raspberry Pi, Arduino AVR MCUs, ESP32, integrated with Lidar, IMU, and depth cameras.

Institute of Mechanism Theory, RWTH Aachen

  • Research Assistant (Apr 2022 - Jun 2023)
    • Developed mobile web framework (PWA with ReactJS) to control and monitor robots in ROS.
    • Introduced an Augmented Reality (WebXR) based robot arm trajectory controller.
    • Deployed the application in the Robotics Lab at IGMR.

Archeron, Bangalore

  • Machine Learning Research Associate (Jul 2018 - Aug 2021)
    • Developed deep learning solutions involving Computer Vision and NLP for healthcare, finance, and agri-tech.

IceCream Labs, Bangalore

  • Machine Learning & Full Stack Platform Engineer (Jul 2017 - Jun 2018)
    • Developed AI enterprise software for the retail tech industry and worked on deep learning algorithms in production for image and text classification.
    • Managed cloud platform deployment with GCP and AWS.

Tinystep, Bangalore

  • Business Development and Analyst (Aug 2016 - Jun 2017)
    • Worked on brand and market analytics, developed custom pitch decks, and directed content strategy.

Yokogawa Electric, Bangalore

  • Research Intern (Jun 2015 – Jul 2015)
    • Developed programmable logic subroutines for Yokogawa's DCS, Centum VP.
    • Received the Yokogawa Industrial Certification for the Distributed Control System Centum VP.

Education

RWTH Aachen University, Aachen

  • M.Sc in Robotic Systems Engineering (2021 – present)
    • Relevant Modules: Computer Vision, Machine Learning, Robotic Sensor Systems, and more.

VIT University, Vellore

  • B. Tech in Electronics and Instrumentation Engineering (2012 – 2016)
    • CGPA: 8.17
    • Thesis: Analysis of Neural Network and Fuzzy Control with PID based Control.

Awards & Projects

  • Deep Neural Network for Solar Soiling Estimation using Aerial Vehicles (Apr 2022 – Nov 2022)
    • Awarded as the winning project of the Student Project Grant for 2022.
  • Cloud Neural Network Inference for Automated Vehicles, IKA RWTH (Apr 2023 – Sep 2023)
  • Mentor at TechLabs, Aachen (Sep 2022 – Present)
    • Mentored in web development and AI, Data Science tracks.
  • Chapter President at International Society of Automation (ISA), VIT University (Jul 2014 – May 2015)
    • Organized workshops, seminars, and received the 'Best Performance Award' for the Asia Pacific region for our chapter's team.

Pinned Loading

  1. robotics_datasets robotics_datasets Public

    Curation effort to document and consolidate as exhaustive as possible a list of datasets that may be useful for robotics research.

  2. robot_worlds robot_worlds Public

    Collection of Gazebo ROS Simulation environments from various sources, prepared for testing with different ROS packages.

    Python 1

  3. ml_inference_cloud ml_inference_cloud Public

    ACDC Research Project: Automated Driving Cloud Inference Evaluation bw TFServing and MQTT

    PureBasic

  4. experiments experiments Public

    repo for public documentation and notes on work i find interesting.

    Jupyter Notebook

  5. local_llm_RAG local_llm_RAG Public

    Notebooks and code for examples on running local LLMs with RAG

    Jupyter Notebook

  6. Spartan-Velanjeri/ROS2_Autogen Spartan-Velanjeri/ROS2_Autogen Public

    Generates packages with launch files automatically from URDF for ROS2 with Gazebo !

    Python 7