Sustainable IT Dashboard

Full-Stack, Cloud Infrastructure, CI/CD

Project Overview

The Sustainable IT Dashboard is a cloud-native solution designed to monitor and improve sustainability metrics for IT systems. It provides real-time insights into energy usage and environmental impact, supporting organizations in achieving their sustainability goals.

My Contributions

• Led the development of the dashboard’s backend using Java and Quarkus, integrating PostgreSQL for efficient data management.
• Built and optimized the infrastructure using Kubernetes, Terraform, and Google Cloud Platform (GCP) to ensure scalability and reliability.
• Implemented monitoring solutions with Prometheus and Grafana to track system performance and sustainability metrics
• Streamlined development processes through GitLab CI/CD pipelines, ensuring smooth deployment and team collaboration.
• Collaborated with cross-functional teams to design a user-centric interface and align development goals with sustainability objectives.

Smokes

iOS App, Swift Vapor Backend

Project Overview

Smokes is an iOS application designed to help users track their smoking habits by visualizing statistics and providing insights for behavioral improvement. The app offers a user-friendly interface, detailed analytics, and customization options to support users in monitoring and reducing their smoking habits.

My Contributions

• Designed and developed the app using Swift and SwiftUI, ensuring a seamless, intuitive user experience.
• Built the backend infrastructure to handle user data and statistics securely.
• Implemented key features such as habit tracking, data visualization, and analytics.
• Utilized CI/CD pipelines and Amazon Web Services (AWS) for efficient deployment and scalability.
• Managed the app’s release on the App Store, including licensing and compliance.

LaunchLab

iOS App

Project Overview

LaunchLab is an iOS application designed to guide aspiring entrepreneurs from ideation to startup success through structured learning paths, AI-powered assistance, and professional consultations. Developed for Transferagentur as part of the M-Lab course at the University of Hamburg, it provides users with interactive modules, document generation tools, and real consultant access to streamline the startup process.

My Contributions

• Oversaw project execution in a student team of 6, coordinated team efforts, and ensured alignment with project goals.
• Managed project timelines, delegated responsibilities, and ensured smooth collaboration among team members.
• Assisted in conceptualizing and refining the guided learning path and AI-driven assistance functionalities.
• Contributed to the implementation of key features, particularly in AI integration and consultation facilitation.
• Ensured application usability and compliance with project specifications through testing and feedback iterations.

Analyzing Climate Opinions

Research, Python Sentiment Analysis

Project Overview

This project analyzes public sentiment on climate change using NLP techniques on social media data from Twitter, YouTube, and Bluesky. Fine-tuned BERT models classify sentiment trends and correlate them with real-world events. The study includes data preprocessing, web crawling, and visualization to track opinion shifts effectively.

My Contributions

• Fine-tuning a non-sentiment BERT model for climate change-related text classification.
• Configuring training parameters and managing large-scale data preprocessing to ensure model adaptability.
• Benchmarking the performance of a non-sentiment-focused approach against sentiment-optimized models.
• Providing insights into the impact of domain-specific pretraining in NLP tasks.
• Collaborating on implementation details and methodology to improve the project's overall accuracy and reproducibility.

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