I'm an Information Technology graduate student at the University of Stuttgart, specializing in Artificial Intelligence. With professional experience at PwC and current roles in cloud engineering and research, I combine technical expertise with a passion for solving complex problems through innovative solutions.
- Master's in Information Technology with focus on AI at University of Stuttgart
- Intern in Cloud Engineering & Data Science at scitis.io GmbH
- Working on my startup 'HearUs' - an innovative sign language translation application bridging communication gaps between hearing-impaired and hearing communities in education
- Scitis.io GmbH - Cloud Engineering, Data Science & AI/ML
- Neura Robotics Challenge - Led a team of 6 to develop an AI Pharmacist aimed at revolutionizing the pharmaceutical industry in Germany.
- Collaborative Artificial Intelligence (cai) Department - Student Research Assistant
- PricewaterhouseCoopers (PwC) - Associate Software Engineer
- University of Stuttgart - M.Sc. in Information Technology (Focus: AI) [Ongoing ⏳]
- University of Stuttgart - Diploma of Advanced Studies in AI (under AISA) [Completed ✅]
- Visvesvaraya Technological University - B.E. in Electronics & Communication Engineering [Completed ✅]
- AWS Certified Cloud Practitioner
- AWS Solutions Architect
- Microsoft Certified Azure Fundamentals
- IBM Data Science Professional
- Google Generative AI Fundamentals
- Enso xAI L1.2
- LinkedIn Top Community Voice for Data Science, Cloud Computing, AI, ML, and more
- 🥈 2nd Place – Smart City Hackathon Infosys x K67 (2025)
- 🥈 2nd Place in Hackxplore ZEISS Fruit Freshness Challenge (2025)
- 🏆 Winner of QKD Challenge 2k25 (2025)
- 🏆 Hackathon Winner: "Automation for Good" - Festo (2024)
- 🏆 SoftDCar Hackathon 2.0 Winner (2023)
- PwC Innovation of Month: Client Experience App
- PwC Real Time Recognition Award
A full-stack AI agent that unifies job search, resume analysis, and tailored cover letter generation using LLMs, LangChain, and SerpAPI.
A multilingual chatbot that answers queries about Anmeldung, immigration, and healthcare by retrieving dynamic content from official sources via vector-based RAG.
An NLP application using IBM WatsonX to summarize, cluster, and analyze sentiment in NZZ article comments with a chatbot-enabled dashboard.
Worked on developing emotion-aware music generation systems using diffusion models to push the boundaries of AI-generated music.
Developed a recommendation module based on M-Elo Model for personalized learning paths.
Data analysis and visualization project using Python, Matplotlib, and interactive visualizations.
Developed a cloud-native architecture for a new online retail business, focusing on a hybrid approach to address the needs of the evolving e-commerce market.
Built a modular dashboard for building statistics with energy savings calculations and AI integration.
Data cleansing, feature engineering, and visualization using Python libraries.
- Email: immananshah@gmail.com
- LinkedIn: manan-j-shah
- Location: Stuttgart, Germany
"Turning data into insights and problems into solutions."