Summary
Nias Ananto is a software engineer and AI specialist with nine years of experience, currently based in Seoul and focused on building intelligent agent systems and generative AI. He has led end-to-end ML projects—from dataset curation and model fine-tuning to deployment—improving AI agent task success and real-time vision systems (e.g., +20% automation success, +2.4% mAP and +13.3% inference speed on PCB defect detection). His work spans VLMs and LLMs, multimodal video understanding, and efficient model optimization (including knowledge distillation yielding 86% model size reduction). Comfortable bridging research and production, he has delivered applied solutions in academia and industry, including robotics, surveillance, and industrial quality control. Colleagues describe him as someone who deliberately blends graph-based planning with vision-language models to enable agents that interact with digital environments, reflecting a practical bent for augmenting human decision-making.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical and Instrument, Bachelor's degree, Electrical and Instrument at Universitas Gadjah Mada (UGM)
Master's degree (Double Major), Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone, Master's degree (Double Major), Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone at Sejong University