Summary
Albert Christianto is a Generative AI Engineer based in Taipei with 8 years of experience building production-grade AI systems across vision, speech, and conversational domains. He blends C++ and Python expertise—evident from his work on asynchronous streaming pipelines and modular perception libraries—with MLOps-driven practices for reliable deployment, monitoring, and continuous retraining. At President Information and previous roles he shipped scalable chatbots with RAG/graph workflows, content moderation platforms, kiosk STT engines, and edge-optimized vision solutions for Raspberry Pi and NVIDIA Jetson. His background in deep learning and computer vision (Master’s from NTUST) enables him to bridge research-grade models and pragmatic engineering constraints in real-world retail and traffic applications. Notably, he has implemented lightweight, production-focused MLOps systems and C/C++ libraries with Python bindings, making high-performance AI accessible across server and edge environments. He is contactable at albertchristianto1994@gmail.com for collaboration on applied generative and vision AI projects.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Institut Teknologi Sepuluh Nopember (ITS)
Master's degree Computer Vision Deep Learning, Master's degree Computer Vision Deep Learning at National Taiwan University of Science and Technology