Yohanes Andre Setiawan

Senior AI Engineer

• Engineer an LLM-powered RAG system (vector search + retrieval) for semantic search over product docs to replace keyword search.
• Develop an MCP-based agent to automate multi-step workflows and reduce manual effort.
• Design a multi-agent system that generates proprietary code to accelerate the SDLC.
• Architect Azure CI/CD and MLOps for deployment/inference of AI services in production.
• Integrate AI services into C#/.NET and REST APIs for production use.

Data Scientist

• Implemented a two-tower retrieval/ranking model to improve recommendation.
• Engineered product deduplication and feed diversification using clustering algorithms.
• Integrated user negative-feedback into the recommender to reduce irrelevant results.
• Improved age prediction accuracy by 5% using ensemble techniques, with an 80% reduction in feature reliance.
• Built Airflow DAGs orchestrating C++ components for training and deployment.

Data Scientist

• Designed a recommender system using PyTorch transformers and FastAPI for personalized video delivery.
• Built PoCs with OCR, NLP, and LLM prompting for a student teaching assistant.
• Created GenAI/LLM solutions (RAG/retrieval, evaluation) using LangChain and Hugging Face.

Special/Non-Degree Seeking Student

Continuing research after my M.S. Coursework: Modern Internet Research Methods, Introduction to Research Seminar.

M.S. in Computer Science (AI)

Completed the non-thesis track with a GPA of 3.90 / 4.00. Coursework: Machine Learning, Deep Learning, Knowledge-Based AI, AI for Robotics, Game AI, ML for Trading, GPU Hardware & Software, High Performance Computer Architecture, Network Science, Software Development Process.

B.S. in Electrical Engineering (Robotics)

Head of the Robotics Club, managing 100+ members for the Indonesia Robot Contest. Graduated with a GPA of 3.88 / 4.00, culminating in a thesis on Computer Vision and Neural Networks in Robotics.