Teng Teng
Lead of AI/ML Development & Research, SAP
I am a Lead of AI/ML Development & Research at SAP, focusing on developing robust and interpretable machine learning models for real-world enterprise applications. My work spans across natural language processing, computer vision, and multimodal AI systems.
I completed my master's thesis on a smart recommendation system, applied to the Quantinar knowledge-sharing platform and SAP AI Use Case Mapping, advised by Prof. Dr. Wolfgang Härdle and Prof. Dr. Stefan Lessmann. My research focuses on building AI systems that merge information from multiple modalities to solve complex, interdisciplinary challenges, blending AI, robotics, and human-computer interaction.
Fun Fact: In high school, I broke my legs climbing the school fence because I urgently needed to meet my first client for my Web 1.0 startup. Thankfully, I paid the medical bill with the first sale — guess that's what they call "bootstrapping" in the real world!
Customer Success Innovation & Development, SAP
M.Sc. Machine Learning and Data Science, Humboldt University Berlin
Latest News
Featured Projects
Neural Architecture Search for Energy Forecasting
A sophisticated NAS framework leveraging reinforcement learning to discover optimal attention-based architectures for long-term energy time series forecasting.
Spatial-AI in Collaborative Robotics
Integration of RealSense D455 depth camera with myCobot robotic arm for spatial awareness and object manipulation using ROS.
FlexiGPT - Enterprise AI Assistant Platform
Enterprise-grade AI assistant platform with advanced RAG capabilities, enabling seamless knowledge management and custom chatbot deployment with real-time data integration.
Experience
- •Leading development of multimodal AI systems for enterprise applications
- •Architecting neural search solutions for time series forecasting
- •Developing interpretable ML models integrating multiple data modalities
- •Researched human-AI collaboration patterns using multimodal data analysis
- •Developed ML models for analyzing human-AI interaction in workplace settings
- •Applied NLP and statistical methods to evaluate collaborative AI systems
- •Led research in multisensory intelligence and human-computer interaction
- •Developed neural architectures for multimodal data integration
- •Been awarded the German Chancellor Fellowship under the patronage of Angela Merkel
- •Designed multimodal recommendation systems combining text, image, and user behavior
- •Implemented large-scale ML pipelines for real-time data processing
- •Led development of computer vision solutions for travel content analysis
- •Developed computer vision algorithms for robotic spatial awareness
- •Implemented sensor fusion solutions for robot navigation
- •Researched human-robot interaction in collaborative environments
Contact
Open for discussions on AI/ML innovation, enterprise solutions, and research cooperations.