About me

I am a graduate student from India studying Visual Computing at Saarland University, pursuing my love and passion for art through the complex and beautiful world of Visual Computing. I am currently working on my thesis that focuses on generating insurance reports by utilizing eye surgery videos.

I also work as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI) in the Cognitive Assistants department. I worked on the EEGain project, in which I assisted in developing a framework that facilitates the use of EEG data in the context of BCI. I am currently working on the NFDI-Matwerk project, which aims to create a research data infrastructure for materials science and engineering in Germany.

During my graduate studies, I have covered lectures in the domain of classical computer vision tasks (Image Processing in Computer Vision, Differential Equations in Image Processing and Computer Vision, Image Acquisition Methods, Interpolation and Approximation in Visual Computing, Numerical Algorithms for Visual Computing), Computer Graphics, Machine Learning, High-Level Computer Vision, Digital Signal Processing, and Neural Networks-Theory and Implementation.

What I like to do

  • design icon

    3D modelling in Blender and Autodesk

    I love 3D modelling and stylistic scene creation in Blender. I also do some CAD work for designing mechanical keyboards as a personal hobby.

  • Development icon

    Coding

    I like to build code related to art, whether its cartoon like effects or a basic 3D renderer.

  • gaming icon

    Gaming

    I like to play visually stunning open world games to get creative ideas that can help me with my 3D modelling. I also like to play FPS games.

  • camera icon

    Photography

    I love to capture the world with my beloved Pixel.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. Saarland University, Germany

    2023 — Present

    Currently in the fifth semester of my graduate degree with 95/120 ECTS completed successfully.

  2. University of Petroleum and Energy Studies, India

    2017 — 2021

    Completed my undergraduate degree in Computer Science with specialization in Business Analytics and Optimization with a grade of 8.91. Was awarded the Silver Medal for being the top student in my specialization.

Experience

  1. Research Assistant (DFKI)

    October, 2024 — Present

    At DFKI, I work in the Cognitive Assistants department. I assisted in completing the EEGain project, which is a one stop framework that can be utilised to perform Emotion Recognition using EEG data. I also helped in publishing a paper on this project, which is currently under review (Pre-print). I am currently working on the NFDI-Matwerk project, which aims to create a research data infrastructure for materials science and engineering in Germany, mostly supporting the MLOps side of the project.

  2. Tutor - Digital Signal Processing (Saarland University)

    April, 2025 — July, 2025

    As a tutor for the Digital Signal Processing course, I assisted students in understanding complex concepts, solving problems, and preparing for exams. I conducted weekly sessions to clarify doubts and provide additional learning resources. I was also responsible for creating and grading assignments.

  3. Summer Intern

    May, 2020 — July, 2020

    During my internship at Rhocron, I worked on the project "Low-Resolution Face Recognition in the Wild." Using YOLO v3 and SRGANs, I built a system capable of recognizing faces in low-resolution images, including user registration. I utilized the DeepFace library for this purpose.

Extra-curricular activities

  1. Head of Events Committee, Computer Society of India, UPES

    2019 — 2020

    As the head of the events committee, I was responsible for organizing various technical and fun events in my college.

Certifications

My skills

  • C
    75%
  • C++
    85%
  • Python
    90%
  • HTML
    60%
  • Blender
    70%
  • Graphic Design
    60%

Portfolio

  • Studying various training approaches for the MoLFormer model on the Lipophilicity dataset

    In this collaborative project, I explored and implemented various data selection (influence scores, etc.) and fine-tuning strategies (LoRA, BitFit, iA3) from scratch to adapt the pre-trained chemical language model, MoLFormer, to the regression task of predicting lipophilicity values of the MoleculeNet Lipophilicity dataset.
    Link to the project report.

    Graduate

  • EEG for Emotion Recognition

    In this collaborative project, I explored emotion classification from films using low-level audio-visual features instead of EEG signals. Using datasets like DREAMER, XGBoost models predicted Arousal and Valence with notable accuracy in LOSO validation, showing the potential of low-level features for emotion recognition.
    Link to the project report.

    Graduate

  • Analysis of Self-Supervised Learning Methods for Urban Scene Segmentation with Adverse Weather Conditions

    In this collaborative project, I explored self-supervised learning for urban scene segmentation in low-visibility conditions, evaluating U-Net and DeepLabv3 models on Cityscapes and Foggy Cityscapes. Achieved accuracy comparable to fully supervised methods with less labeled data.
    Link to the project report.

    Graduate

  • EIGEN - A renderer based on physically based rendering

    In this collaborative project, I built a rendering engine using the Lightwave framework.
    Link to the project webpage.

    Graduate

  • BRDF implementation using SHADERed

    In this project, I implementated the Phong and Cook-Torrance BRDF models to better understand their mathematical foundations.

    Graduate

  • Comparative Analysis of Epsilon-Greedy, UCB & Thompson Sampling Algorithms

    In this project, I programmed agents for Epsilon-Greedy, UCB, and Thompson Sampling algorithms to perform a comparative analysis of their performance on a simple 3-arm bandit problem for both long and short time steps.

    Under-graduate

  • COVID Safety Tracker

    In this project, I built a system capable of tracking any violation of social distancing and mask norms. It captures the facial identity of the violator to perform facial recognition if needed. It also creates a dashboard of the captured statistics. The system uses perspective transformation to get a better accuracy while detecting social distancing violations.
    Link to the project webpage.

    Under-graduate

  • Vocal Psychiatric Simulator

    In this project, I built a system that serves as a virtual psychiatrist. It asks the subject a set of questions and then evaluates their condition basis their responses and facial expressions and generates an evaluation report. The system uses the Flask framework as a basic UI backbone for the system.

    Under-graduate

  • Digit Recognition using Machine Learning in C

    In this project, I built a Neural Network capable of classifying handwritten digits of the MNIST database. It also makes a live Accuracy vs Epochs graph using the graphics.h library in C.

    Under-graduate

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