Ibad Rather

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About Me

To summarise myself:

• I am a curious person
• I like learning all kinds of different things
• I am an above-average cook
• I am fun to be around with
• Around me, you’d hear more good jokes than bad ones ;)
• I would call myself a compassionate and a considerate person
• I value honesty and kind-heartedness
• I am interested in people and want to know about them and their story
• Rest of the technical jargon is below!

Skills and Tools

• Deep Learning, Machine Learning, Robotics, Data Engineering, Data Science, Simulations, Robotics, Signal Processing, Sensorics
• Python, MATLAB, C++, GIT, Linux
• Pytorch, Pytorch-Lightning, DARTS, Pandas, NumPy, OpenCV, Scikit-Learn, Matplotlib, SymPy, TensorFlow
• Robot Operating System (1 and 2), Gazebo, Unreal Engine, Microsoft AirSim, Nvidia Omniverse (Basics)
• Software Engineering
• Arduino/ Raspberry Pi, IOT Development
• Fusion 360, Solid Works
• Leadership, Problem Solving, Teaching

Experience

Full Time Research Intern and Master Thesis Student (R&D), Carl Zeiss AG

  October 2021 – November 2022

• Stabilized a video coming from an oscillating camera using Inertial Measurement Unit sensor data.
• I evaluated various simulation platforms like Epic Games Unreal Engine, Microsoft AirSim, Isaac Sim SDK and Nvidia Omniverse for camera and IMU sensor simulation.
• Implementation of IMU Noise model from scratch to make the data more realistic and introduce randomness i.e domain randomization.
• Testing the simulated data against real data.
• Writing and evaluation of various neural network architectures (Resnet, CNN, LSTM, Transformers) for pose-estimation.
• Process the neural network outputs using signal-processing techniques to smoothen the output.
• Testing of Neural Network inferences on various edge hardware to determine real-time application.

Master Project - SLAM and Path Planning for Follow-Me Function in an Autonomous Delivery Robot

  May 2021 - January 2022

• Simulated a world in Gazebo which depicted a real-world like residential neighbourhood.
• Built a Map (2D Occupancy Grid Map and 3D-Octomap) of the Environment using various SLAM Algorithms (gmapping, Hector SLAM and RTAB-Mapping) for comparison and use.
• Implemented a path planning package which helps the Mobile Robot to reach its goals safely and correctly.

Education

MS Mechatronics, Universität Siegen

  October 2019 – November 2022

Thesis: Digital Video Stabilization of an Oscillating Camera using an Inertial Measurement Unit.

B. Tech Mechanical Engineering, Jamia Millia Islamia, Delhi

  July 2014 – June 2018

• Thesis: Friction Stir Welding of 5-Series Alluminum Alloys

Projects

• Robotics Related Projects
  • Home Service Robot: In this project I combined localization, SLAM, and planned robotic algorithms into a home service robot. The goal of this project was to program a robot that can autonomously map an environment and navigate to pick up and drop virtual objects.
  • UR5 Robotic Arm: Implemented a Sin-Mover and Inverse Kinematics based ROS Nodes in C++ to control the Robotic Arm.
  • Franka Robot Arm: Implemented an Inverse-Kinematic based arm control in the NVIDIA Omniverse simulated environment.
  • Go Chase It: Wrote an image processing node in ROS which helps the Robot to follow a white ball in the given environment.
  • Localisation: In this project, I learnt to utilize ROS AMCL package to accurately localize a mobile robot inside a map in the Gazebo simulation environments.
• Deep Learning Related Projects: Worked on various Deep Learning Related Projects from time to time:
  • Multi-variate Time Series analysis for forecasting.
  • Multi-variate Time Series analysis for classification
  • CNNs for classification
  • Character Level RNN for Lyrics Generation
  • Multi – Timeseries Forecasting
  • Object Recognition on Raspberry Pi
  • Image Classification
• Computer Vision Related Projects: Worked on various small and relatively big projects like:
  • Advanced Lane Line Detection
  • European Bank Notes Classification
  • Distortion correction in Photos and Videos - Wide angle distortion correction.
  • Video Editing Pipeline
  • Camera Calibration
  • Gradients and Colour Spaces

Certifications

• Udacity: Robotics Software Engineer
• Machine Learning with Python
• Data Analysis with Python
• Python for Data Science, AI & Development
• Google’s Crash Course on Python
• Convolutional Neural Networks in TensorFlow
• MATLAB Onramp
• SIMULINK Onramp
• IBM Applied AI
• The Arduino Platform and C Programming
• Interfacing with the Raspberry Pi
• Interfacing with the Arduino
• Introduction to the Internet of Things and Embedded Systems
• Machine Design Part I

Languages

• English - C1
• German - A1
• Urdu: Native
• Kashmiri: Mother Tongue

Leadership Experience and Other Activities

• Python and Computer Vision Workshops:
  • Started teaching Python online to the students of my Bachelors Univerity online during pandemic.
  • Continued teaching the following years and also started teaching OpenCV basics.
• Vice-President Enactus JMI, 2017-2018:
  • Lead a team of more than 100 people working on various social projects.
  • Developed a good name and positive impression of the organisation, which helped in motivating people to join and work with us.
  • Organised numerous events around Delhi showcasing and marketing our projects.
  • Raised the most funds the organisation ever did at that time (was also working as sponsorship head).
• National Go-Kart Racing Championship by LPU-SAE:
  • Lead Design and Development for a Go-Kart Racing Championship at National level for 2 years.
  • Sucesfully designed and fabricated various components like shafts, hubs, front axle and chassis.
  • Developed a culture of competetive racing vehicle designing at the University.
  • Conducted design classes during this period to teach the Junior students basics of CAD-Design on Fusion 360 and Solid Works.