Germany
✦ Provide AI, GenAI, Quantum consultancy at code / architecture / business level Key projects: ▪PCMS (Policy & Compliance Management System): Developed LLM- and RAG-based regulatory & compliance assistant for Bosch Group to automate interpretation of corporate policies and global regulations, and integrate them into internal compliance workflows ▪ps: Built an LLM-based requirement document comparison system to analyze long technical documents and pinpoint critical mismatches (“needle in a haystack”) ▪OneQ: Identified at-risk projects via text-based Quality Gates (LLM, Azure OpenAI, gpt-4o mini, prompt engineering, pandas) ▪Emotion Recognition for Safety: Multimodal emotion/atmosphere recognition from face, voice, and text (OCR, voice recognition, AGI) ▪PACE (Bosch–Volkswagen): Lane detection for next-level autonomous driving (MLOps, LIoU, rosbag, camera calibration) 📝 Published Quantum AI Whitepaper (June 2025) ▶ Skills: AGI, GenAI, LLM, RAG, MLOps, Computer Vision, Quantum AI, Compliance Automation
✦ Led the AI R&D Center developing AI-powered medical diagnostic (CDSS) systems in collaboration with university hospitals and government agencies Key projects: ▪Cervical Cancer Screening System — World’s first AI-based remote CDSS (WHO-standard, real-time lesion detection, ViT-based classification) ▪Gastroscopy Real-Time Detection System — Combined 14 AI models for real-time lesion tracking and invasion depth recognition ▪Aneurysm Detection — Multi-view MRI analysis to predict rupture risks ▪Small Intestinal Capsule Endoscopy / Colonoscopy / Ureteral Stone Detection — From ideation to MVP, applied in university hospitals Achievements: ▲ Secured 6 government projects (1 M€) and contributed to Series A funding (2.1 M€) ▲ Drafted and registered domestic & PCT patents on AI medical devices ▲ Designed clinical trials (WHO/MFDS) and supported product certifications (ISO13485, ISO9001, CE) ▶ Skills: Medical AI, Vision Transformer, EfficientDet, real-time inference, clinical validation, productization
✦ Developed an NLP-based text classification system to automatically categorize global hospital support tickets (50+ categories) for GE medical devices, replacing the fully manual process. Key contributions: ▪Collected and processed large-scale support ticket data, previously classified manually by staff ▪Designed, trained, and optimized CNN-based text classification models (scikit-learn, Keras, tf-idf) to group incidents by type ▪Integrated the system into real hospital support operations across the US, UK, and Europe, reducing response time and training costs ▪Created an iterative feedback loop with support teams to continuously improve model accuracy and reliability ▶ Skills: NLP, text classification, CNN, scikit-learn, Keras, tf-idf, data pipeline optimization
✦ Worked in the Telecommunication R&D team, developing and testing IPv6 connection systems in eNodeB and supporting automation for network operations. Key contributions: ▪Implemented an IPv6 connection module with Python for eNodeB network systems ▪Automated log file analysis and test workflows on Linux using Python and RobotFramework ▪Created and maintained test cases for transport system testing (IPv6) and supported other testers ▪Enhanced existing Python scripts by adding new functionalities and improving efficiency ▶ Skills: Python, Linux, IPv6, RobotFramework, automation, telecom systems