CV

This is a brief overview of my work. Please use the download button for most accurate and up-to-date information about me and my work.

Basics

Name Shaurya Kishore Panwar
Title Machine Learning and Robotics Researcher
Url https://klrshak.github.io

Languages

English
Almost Native
German
A1~A2
French
A1
Hindi
Native

Education

  • 2024.09 - Present

    Zurich, Switzerland

    Masters of Science
    University of Zurich
    Majors in Artificial Intelligence with Minors in Data Science
  • 2020.12 - 2020.07

    Delhi, India

    Bachelor of Technology
    Delhi Technological University
    Engineering Physics (Minors in Computer Science)
    • Deep Learning
    • Machine Learning
    • Algorithm Design & Analysis
    • Object Oriented Programming
    • Instrumentation and Control Systems
  • 2018.01 - 2020.03

    Rohini, Delhi, India

    High School Diploma
    St. Xavier's Senior Sec. School
    Central Board of Secondary Education

Interests

Deep Learning
Computer Vision
Natural Language Processing
Multi-Modal Understanding
3D Vision
Mobile Robotics

Work

  • 2023.06 - 2023.08

    Bern, Switzerland

    Visiting Researcher
    Bern University of Applied Science
    Worked on "No GPS Drone" project to develop system for visual navigation, removing reliance on GPS.
    • Enhanced segmentation accuracy from F1 score of 64.11 to 88.38. Redesigned ML Network with transformers
    • Led the selection and integration of critical sensors, including cameras, altimeters, IMU, etc.
  • 2022.07 - 2022.08

    Delhi, India

    Autonomous Systems Intern
    Euler Motors
    Developed autonomous stack for autonomous delivery vehicle for large factories, capable of Level 3 driving
    • Carried out LiDAR-Camera fusion for generating cost-effective 3D Semantic Maps
    • Made path detection algorithm robust to noise and error
  • 2022.01 - Present

    Delhi, India

    Student Researcher
    Delhi Technological University
    Interdisciplinary research in Computer Vision, Deep Learning and Natural Language Processing
    • Authored a significant work in the field of Vision-Language Navigation(VLN), Ranking #5 in global VLN Leaderboard.
    • Teaching Assistant on CO302: Deep Learning. Lectured 'Hands On Sessions' on Attention, GANs, Transformers and multi-modal models

Projects

  • 2020.11 - 2023.07
    Team Defianz-DTUSDC
    • Built a CV pipeline capable of operating at high speed to accurately detect, localize and classify traffic cones.
    • Developed system for high speed 3D object detection in pointclouds from LIDAR data using PointPillar technique.
    • Implemented a model-based planning algorithm BayesRace, using Bayesian Optimization to generate optimal Racing Line
  • 2022.09 - 2022.09
    Age-Invariant Face Recognition
    • A unified deep architecture performs cross-age face synthesis and recognition simultaneously
    • Extended from auto-encoder based GAN
  • 2021.08 - 2021.08
    NXP Self Driving Car Model
    • Deployed End-to-End CNN model for autonomous driving with regularization technique with ROS2 in a simulated environment.
    • Significantly improved accuracy from a very small dataset of 1000 images for 5 categories

Awards

Skills

Languages
Python
C++
Java
Arduino
MATLAB/Octave
Bash Scripting
LaTeX
Machine Learning
CNNs
RNNs
VAEs
GANs
Transformers
NeRFs
Framework and Libraries
Linux
PyTorch
TensorFlow
OpenCV
SciKit-learn
ROS
ROS2
AutoWare
Gazebo
Pandas
Flask
HTML
Bootstrap
NumPy
Matplotlib
SQL
Tools
Git
postgres SQL
Anaconda