Open to full-time opportunities
Machine Learning · Generative AI · Intelligent Agents
I am a Machine Learning and AI Engineer with 5+ years of software and data engineering experience. I build LLM agents, reinforcement learning systems, computer vision applications, and scalable ML infrastructure.
Currently completing an M.S. in Computer Science at the University of Massachusetts Amherst, with an expected graduation date of December 2026.
About
My background spans AI research, software engineering, data engineering, and manufacturing systems. I enjoy taking an ambiguous problem, designing a measurable technical approach, and building the infrastructure required to evaluate and deploy it reliably.
I am especially interested in Machine Learning Engineer, AI Engineer, LLM Engineer, and Research Engineer roles where I can work across modeling, experimentation, evaluation, and production systems.
Featured projects
Projects that demonstrate both modeling depth and implementation ability.
LLM Agents · Reinforcement Learning
2026Developed a solver-guided preference optimization framework combining game-theoretic solvers, counterfactual horizon rollouts, and LoRA adapter merging to improve strategic reasoning in 3B language models.
Multi-Agent AI · Theory of Mind
2026Designed a unified framework integrating Theory of Mind, opponent modeling, memory, and self-play optimization. Reformulated strategic multi-agent interactions as a single-agent reinforcement learning problem using GRPO and PPO.
Computer Vision · Vision-Language
2025Built a multimodal localization pipeline combining Faster R-CNN and CLIP-based semantic reranking to identify target objects in densely cluttered scenes from natural-language attribute descriptions.
Experience
PTKOREA · Samsung.com Data Engineering
LG Electronics North America · R&D
University of Massachusetts Amherst
Graduate coursework in reinforcement learning, machine learning, neural networks, artificial intelligence, and systems for data science.
Technical toolkit
From experimentation and evaluation to APIs, pipelines, and deployment.
01
PyTorch, TensorFlow, Scikit-learn, reinforcement learning, LLM agents, preference optimization, computer vision, multimodal learning
02
Python, SQL, Pandas, NumPy, Spark, Hadoop, Flink, model evaluation, data preprocessing, statistical analysis
03
AWS, Docker, Kubernetes, Airflow, Linux, Git, distributed training, GPU experimentation, reproducible pipelines
04
Backend APIs, Python, JavaScript, Node.js, PostgreSQL, MongoDB, MySQL, Elasticsearch, system design, production debugging
Recognition
Let’s connect
I am seeking full-time Machine Learning Engineer, AI Engineer, LLM Engineer, and Research Engineer opportunities beginning around my December 2026 graduation.
eunbiyoon@umass.edu