A Robotics Masters graduate from RWTH Aachen University, with 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)

• Institute for Man-Machine Interaction, Aachen, Deutschland

Research Assistant (Wissenschaftliche Hilfskraft) -- Aug. 2026 to Present

• Building a real-time action recognition system for live AR/VR video feeds, applying Temporal Segment Networks for action classification, and YOLO for tool recognition.

• Designing a causal, streaming LSTM-based temporal fusion module to smooth and stabilize per-frame predictions for live, low-latency deployment.

• Institute for Man-Machine Interaction, Aachen, Deutschland

Master Thesis Student -- Jun. 2025 to Feb. 2026

• Developed a pipeline to generate photorealistic synthetic images and videos from semantic maps for perception and simulation workflows in autonomous driving and construction.

• Implemented and evaluated GAN-based and diffusion-based architectures for semantically conditioned image synthesis on Cityscapes, GTA5, and in-house simulation datasets.

• Managed multi-GPU training on the RWTH HPC cluster using SLURM and Docker for reproducible experiments.

• Fraunhofer Institute of Production Technology, Deutschland

Research Project Intern -- Jul. 2024 to Jun. 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) -- Apr. 2023 to Dec. 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) -- Jan. 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.