A Robotics Masters student at RWTH Aachen University with previous research experience in the field of Robotics and Machine Learning. Experienced in the research and development of Computer Vision and Machine Learning algorithms for specialized projects. Fluent in Python, C++, and MATLAB programming.
Master of Science - Robotic Systems Engineering
Oct. 2022 to Feb. 2026 at RWTH Aachen University, Aachen, Germany
Bachelor of Engineering - Mechanical Engineering
Aug. 2018 to Jul. 2022 at Birla Institute of Technology and Science, Pilani, India
Master of Science - Physics
Aug. 2017 to Jul. 2022 at Birla Institute of Technology and Science, Pilani, India
Fault Identification and Remaining Useful Life Prediction of Bearings using Poincare Maps, Fast Fourier Transform and Convolutional Neural Networks - Published in Mathematical Models in Engineering - https://doi.org/10.21595/mme.2022.22364
Evaluating Generative Models for Accelerated Data Generation in Simulation Pipelines. European Modeling & Simulation Symposium 2026 (Accepted)
Fraunhofer Institute of Production Technology, Deutschland
Research Project Intern -- July 2024 to June 2025
Built a data pipeline over MS-SQL sources for cleaning, feature extraction, and transformation, with outlier detection (One-class SVM, Autoencoders) for anomaly identification and data integrity.
Trained and deployed regression models to forecast quality metrics and demand signals for the AgileHand project.
Fraunhofer Institute of Production Technology, Deutschland
Research Assistant (Wissenschaftliche Hilfskraft) -- April 2023 to December 2025
Designed and implemented a robust pipeline for noise reduction, feature extraction, and segmentation of 2D/3D tissue scan images using Python.
Automated region-of-interest (ROI) extraction in biomedical images by integrating the Segment Anything Model (SAM) with a custom-trained U-Net architecture.
University of Auckland, New Zealand
Student Researcher (Thesis) -- January 2022 to May 2022
Simulated fully actuated robotic hands in the MuJoCo physics engine for dexterous manipulation tasks at the New Dexterity lab under the supervision of Dr. Minas Liarokapis.
Validated simulation accuracy by mapping real-world grasping motions and comparing them with the virtual hand behavior.
Visual Lane Following for Scaled Automated Vehicles
RWTH Aachen University -- April 2024 to September 2024
Built a real-time lane-keeping perception stack for a scaled autonomous vehicle at IKA, optimized to run on a low-compute Jetson Nano.
Established remote V2X communication to perform semantic segmentation of the drivable area using YOLOPv2 and CLRerNET remotely.
Integrated the perception output with a PID controller in a ROS pipeline, tracking guidance points extracted from the drivable-area segmentation.
Machine Learning in Galaxy and Structure Formation
BITS Pilani -- January 2021 to May 2021
I implemented a ‘Decision Trees Regressor’ algorithm that predicted the redshift of galaxies using the Galaxy Zoo database.
Additionally, I performed the classification of galaxies into different types (spiral, elliptical and merger) using Decision Trees and Random Forests classification algorithms.
Robot Operating System (ROS) - RWTH Aachen University, 2023 (Certificate)
ACDC: Automated and Connected Driving Challenges - RWTH Aachen University, 2023 (Certificate)
DeepLearning.AI TensorFlow Developer - Coursera, 2024 (Certificate)
Fundamentals Of Deep Learning - NVIDIA , 2021 (Certificate)
Data Driven Astronomy - Coursera, 2021 (Certificate)