cv

Research Assistant

Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

• Enhanced segmentation accuracy by fine-tuning the Segment Anything model, optimizing it for specialized applications.
• Developed efficient algorithms for synthetic image generation, incorporating segments with varying degrees of occlusion and other dynamic parameters to improve dataset diversity.
• Utilized Perlin Noise to generate realistic synthetic datasets, enabling more robust training and testing for computer vision models.

Research Assistant

Fraunhofer ITWM

As a Research Assistant with a focus on code stability, Python integration, and UI/UX improvements, I bring extensive experience in modernizing codebases and enhancing system performance. My role includes integrating Python 3 with pybind11, updating deprecated Qt6 functions, and optimizing build systems with CMake.

• Successfully resolved over 30 critical issues, including crashes and segmentation faults, leading to a more stable and reliable system.
• Spearheaded the integration of Python 3 interpreter, updating build configurations and enhancing cross-platform compatibility.
• Maintained Jenkins pipelines for continuous integration and automated builds, improving deployment consistency.
• Managed build processes for both Windows and Unix systems, addressing platform-specific challenges and optimizing build efficiency.
• Developed new features and UI improvements, such as visual histogram manipulation tool, mouse wheel zoom and tab dragging, significantly enhancing user experience.

Student Research Assistant

University of Kaiserslautern

As a Research Assistant specializing in map-based data visualization and interactive infographics, I have extensive experience developing Leaflet-based maps and web applications for intermodal routing and reachability analysis. Working with Python, JavaScript, and HTML, I have built efficient systems for processing and visualizing complex datasets, particularly OpenStreetMap data. I have been involved in multiple projects that enhanced data interaction and user engagement, making meaningful improvements to how routing data is presented and processed in real-time.

• Developed a Leaflet-based map with custom functionality for intermodal routing and multimodal accessibility analysis.
• Designed intuitive UI components, such as customizable sliders and popup regions, to improve user interaction.
• Processed and visualized large OSM datasets for spatial analysis, ensuring optimal performance in Python.
• Managed seamless data communication across multiple languages, improving system responsiveness by 25%.
• Contributed with over 100+ updates optimizing features, UX, and backend processes.

Student Developer

Google Summer of Code

As a Student Developer during Google Summer of Code 2020, I focused on optimizing and modernizing the build system for Synfig Studio using CMake. My role involved enhancing build automation, implementing advanced packaging solutions, and improving cross-platform compatibility, with a strong emphasis on continuous integration (CI) and build maintenance.

• Overhauled Synfig’s CMake build system, introducing automated build configurations and resource management enhancements.
• Developed and integrated .deb and NSIS installers, facilitating streamlined software distribution.
• Enhanced build processes for Windows and MSYS2 platforms, improving cross-platform support and reliability.
• Managed seamless data communication across multiple languages, improving system responsiveness by 25%.
• Contributed to over 20 significant updates, including bug fixes, feature enhancements, and comprehensive documentation.

Masters of Science

Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau

Informatik with specialization in Intelligent System and Scientific Computing

• Machine Learning
• Deep Learning
• Quantum Computing for Artificial Intelligence
• Data Visualization
• Natural Language Processing
• Engineering with Generative AI

Bachelors of Technology

International Institute of Information Technology, Bhubaneswar

Information Technology

• Image Processing
• Soft Computing
• Programming in C++
• Data and Web Mining

Segment Anything 2 Assist

A tool to use SAM2 on images.

• Segmentation
• Gradio
• PyTorch

PupilCalib

Turning Eye Tracking into 3D!

• Real-time gaze tracking
• PyQt

Code with Llama2

An assisting chatbot to write python code 🧑‍💻

• Finetuning
• Synthetic dataset
• Large Language Models

PaDiM Anomaly Detection Tool

PaDiM anomaly detection with a Qt5 GUI.

• Anomaly detection
• Machine learning