AI Phase helps businesses unlock the potential of AI. My key contributions include:• Establishing AI Phase's service portfolio and business strategy, covering consulting, AI student projects, implementation, and maintenance to provide comprehensive AI support to various industries.• Leading consulting workshops and industry collaborations to identify AI opportunities tailored to each client's specific needs, facilitating their journey from ideation to implementation.• Sourcing top AI talent from TUM and LMU for projects, allowing businesses to connect with emerging experts and foster innovation at an affordable scale.• Supervising full-scale AI implementations, managing teams of engineers, data scientists, and machine learning experts to deliver effective and sustainable AI solutions.• Developing scalable maintenance services to ensure continuous improvement and maximum performance of our clients' AI systems post-implementation.

• Developing LLM Agents to automate network analysis processes, streamlining operations and boosting efficiency.• Creating AI solutions for capacity upgrades, traffic rerouting simulations, and network operations coordination.• Evaluating workflows through error analysis and user feedback to ensure system reliability.• Exploring orchestration strategies, data visualization, and security frameworks for AI systems.• Leveraging Neo4j and graph databases for advanced telecom data insights.

• Acted as a bridge between leadership and the broader team of 200+ members, ensuring clear communication and alignment across all levels of the organization.• Spearheaded key operational strategies, overseeing day-to-day functions to ensure TUM.ai’s initiatives were agile and impactful.• Led and collaborated on crucial projects, fostering cross-team synergies and translating strategic visions into tangible outcomes.• Represented TUM.ai externally, strengthening relationships with partners, sponsors, and the AI community.• Participated in the full restructuring of TUM.ai, ensuring the organization’s operations were optimized for long-term growth.• Managed conflict resolution and nurtured a collaborative environment, promoting a culture of respect and teamwork.• Managed administrative responsibilities, including budgeting and resource allocation, maintaining the organization’s foundation for sustainable growth.

• Organized and led marketing campaigns for major events such as Makeathon 2023, AI Summit, AI Academy, and AI-Elab, driving engagement and awareness across multiple platforms.• Led a team of 12 marketing and design members, fostering a collaborative and creative environment while resolving conflicts and ensuring smooth teamwork.• Managed the design of TUM.ai merchandise and collaborated on the redesign of the website, enhancing the brand’s identity and online presence.• Increased overall social media subscribers by 1.5x in 6 months, positioning TUM.ai as the second most popular student initiative in Germany and achieving record-high engagement metrics (views, likes, and interactions).• Spearheaded the most successful marketing campaigns among student organizations during this period, measured by interactions, post frequency, and follower growth.

TUM.ai is Germany's top AI student initiative, based at the Technical University of Munich. It drives AI innovation through real-world projects, a signature hackathon, and supports AI startups, with over 200 active members shaping its growth.• Contributed to the successful execution of a key Partnership Meeting, facilitating collaboration and communication between sponsors and partners to strengthen relationships within the AI ecosystem.• Co-organized partner events, ensuring smooth logistics and fostering meaningful interactions between sponsors, partners, and the TUM.ai community.• Assisted in structuring the partnership and sponsorship organization, streamlining processes for more efficient communication and long-term collaboration.• Expanded TUM.ai's partner network, contributing to the growth and impact of the student initiative.

• Developed and implemented a Q&A system for customer service agents, leveraging customer service documentation to improve efficiency and support.• Utilized LlamaIndex, qdrant, and Azure OpenAI to design a robust solution, enhancing the accuracy and reliability of information retrieval.• Created an intuitive frontend interface for the system using Gradio, ensuring ease of use for non-technical staff.• Evaluated system performance using RAG (Retrieval-Augmented Generation) metrics, optimizing the solution for real-world application.

SafeApp was a cutting-edge startup leveraging AI for safer urban navigation. My key contributions included:• Leading the design and development of the SafeApp mobile app, incorporating user-centric design and data science for improved functionality and user experience.• Driving strategic marketing and direct user engagement to refine our product aligned with market demands.• Engaging in prestigious programs such as the MIT Entrepreneurship Club, StartMIT, MIT Fuse by Martin Trust Center for MIT Entrepreneurship, and the MIT Sandbox Innovation Fund Program, which enhanced our growth and product capabilities.• Advancing my expertise in AI, Machine Learning, and Data Science, applying these to address complex challenges within the app and gaining deep insights into business strategy and startup operations.

• Supported the programming team in developing a migration tool using PowerShell.• Created KPI reports for an identity service, improving the tracking and monitoring of key performance indicators.• Developed scripts to monitor and ensure the smooth functioning of identity services, contributing to efficient IT service management.

• Assisted in the development of learning tools for the course Interactive Learning, focusing on enhancing educational outcomes for a large student group.• Tested and provided feedback on the Artemis learning platform, ensuring seamless functionality and making pull requests on GitHub to improve the system.• Evaluated and tested IRIS, an AI-powered chatbot designed to support students, improving its interaction quality and user experience.• Supported exam and quiz preparation, ensuring alignment with the curriculum and clarity of content.Served as a lecture cohost, assisting students with questions on key topics in object-oriented programming, functional programming, data structures, recursion, syntax, semantics, and more.• Engaged with students during classes, providing help on subjects like programming constructs, inheritance, lambda expressions, data structures, and recursion, enhancing their understanding of foundational concepts.