Projects
A showcase of my work in Generative AI, RAG systems, machine learning, and full-stack development.
Featured Projects01
Generative-AI 3D Avatar Assistant – Swisscom
Voice-enabled 3D generative-AI customer-service assistant for Swisscom's Digital Customer-Experience unit. Achieves <400 ms speech-to-avatar latency and autonomously resolves 78% of Tier-1 support queries using a GPT-4o RAG pipeline with pgvector, MetaHuman lip-sync, and WebRTC streaming.
AdversEco – AI-Powered Digital Ad Creation SaaS
AI-driven SaaS platform that automates digital advertisement creation using OpenAI generative models. Features OAuth-integrated direct publishing to Instagram, LinkedIn, Twitter, and Facebook with real-time ad generation and scheduling via a Heroku-deployed backend.
ML & Engineering Projects02
Deep machine learning research, full-stack systems, and applied AI projects available on GitHub.
Social Media Platform (Ruby on Rails)
Full-featured social networking application with user profiles, friend requests, posts, comments, likes, and real-time messaging via Action Cable with Redis. Includes Devise auth, CarrierWave uploads, and PostgreSQL data management.
Emotion Detection in Tweets – LSTM from Scratch
End-to-end LSTM model classifying 20K+ tweets into six emotions (joy, sadness, anger, fear, love, surprise). Achieves 92% test accuracy with full preprocessing pipeline, t-SNE embedding visualizations, and confusion matrix evaluation.
U-WaTCH Research Application – MHH
Application development supporting the U-WaTCH pediatric pulmonology research project at Medizinische Hochschule Hannover. Streamlines data entry and workflow automation for the interdisciplinary research team.