I'm a Master's student in Geodetic Engineering at the University of Bonn, specializing in AI/ML, Computer Vision, and DevOps. Currently working as a DevOps Engineer at Fraunhofer IAIS, I bridge the gap between AI research and production-ready systems.

Master's Thesis: Exploring the Sensitivity of Model (ViT) Uncertainty to Hyperparameter Variations

• 🔬 Research: Uncertainty Quantification, Computer Vision, Deep Learning, Generative AI
• 🛠️ Professional: Building scalable ML systems and DevOps pipelines at Fraunhofer IAIS
• 🤝 Community: Active volunteer at CorrelAid - using data science for social good
• 📚 Learning: GenAI, multi-agent systems, and AI engineering best practices
• 💼 Seeking: AI Engineer, ML Engineer, or DevOps Engineer roles

September 2022 - Present

• 🚀 Open Integration Hub (OIH): Deployed applications using Kubernetes & Docker on Linux servers
• 📊 KI-NRW: Developed interactive web applications with Dash Plotly
• 📚 GAIA-X & OpenGPT-X: Contributed to documentation, testing, and development
• ⚙️ Stack: Kubernetes, Docker, Linux, Python, CI/CD

February 2020 - December 2021

• 🌾 Developed ML models for agricultural applications and plant organ recognition
• 📸 Applied deep learning for precision agriculture

Ongoing

• 📊 Contributing to Data4Good projects for non-profit organizations
• 🤝 Part of 2,400+ volunteer network democratizing data science

• ⚡ Introduction to Supercomputing at JSC - Forschungszentrum Jülich
• 🐳 Docker and Kubernetes: The Complete Guide - Udemy
• ✅ ISTQB® Certified Tester - Foundation Level (CTFL)
• 🐧 Linux Shell Scripting: A Project-Based Approach - Udemy
• ☁️ Introduction to Google Cloud - Pluralsight

Machine Learning & AI

• Deep Learning (CNNs, Vision Transformers, Neural Networks)
• Generative AI (Multi-agent systems, emerging frameworks)
• Computer Vision & Image Processing
• Uncertainty Quantification & Bayesian Methods
• Model Deployment & MLOps

DevOps & Infrastructure

• Container Orchestration (Kubernetes, Docker)
• CI/CD Pipeline Development
• Linux System Administration & Automation
• Cloud Computing & Infrastructure Management

Data Science

• Data Visualization (Dash Plotly, Matplotlib)
• Geospatial Data Processing (QGIS)
• Workflow Orchestration (Airflow, SLURM)

• 🤖 Generative AI - Latest frameworks and multi-agent systems
• 🏗️ AI Engineering - Production-ready system design
• 🔗 MLOps - Continuous integration for ML workflows
• 🌐 Advanced Kubernetes - Service mesh and scaling

🗣️ English (Fluent) | 🇮🇳 Hindi (Native) | 🇩🇪 German (A2.1)