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Machine Learning & AI
PyTorch, TensorFlow, Scikit-learn, reinforcement learning, LLM agents, preference optimization, computer vision, multimodal learning
Open to full-time opportunities
Machine Learning · Generative AI · Intelligent Agents
Applying for AI/ML Engineer and Researcher.
Machine Learning and AI Engineer with 5+ years of software and data engineering experience, focused on LLM agents, reinforcement learning, multimodal ML, and production-ready AI systems.
Currently completing an M.S. in Computer Science at the University of Massachusetts Amherst, with an expected graduation date of December 2026.
Eunbi Yoon · MS CS, UMass Amherst
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About
Research depth, engineering discipline, and systems that actually work.
My work sits at the intersection of AI research and production engineering. I enjoy turning ambiguous problems into measurable experiments, then building the data, evaluation, and backend systems needed to make those ideas reliable.
I am especially interested in Machine Learning Engineer, AI Engineer, and Research Engineer roles spanning modeling, experimentation, evaluation, and scalable GPU-backed systems.
2+Research Papers
4+AI projects
3+AI/ML Certifications
5+Years in software engineering
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Technical toolkit
Skills for the complete ML lifecycle
From experimentation and evaluation to APIs, pipelines, and deployment.
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Data & Experimentation
Python, SQL, Pandas, NumPy, Spark, Hadoop, Flink, model evaluation, data preprocessing, statistical analysis
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ML Systems & Cloud
AWS, Docker, Kubernetes, Airflow, Linux, Git, distributed training, GPU experimentation, reproducible pipelines
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Software Engineering
Backend APIs, Python, JavaScript, Node.js, PostgreSQL, MongoDB, MySQL, Elasticsearch, system design, production debugging
AI RESEARCH
Researching intelligent agents and strategic reasoning.
LLM agents, preference optimization, multi-agent learning, and evaluation.
TRACE · Strategic SLM TrainingTRACE: Separating Action and Reasoning Teachers for Strategic SLM Training
Solver-guided preference optimization with counterfactual rollouts and LoRA adapter merging for strategic 3B language models.
Explore research ↗
Theory of Mind · Multi-Agent RLTheory of Mind for Multi-Agent Strategic Reasoning
Opponent modeling, memory, and self-play optimization using GRPO and PPO for strategic multi-agent interactions.
Explore research ↗MACHINE LEARNING PROJECTS
End-to-end ML systems built around real tasks.
Computer vision, multimodal learning, retrieval, and grounded generation.
Faster R-CNN + CLIP68% Top-1@0.5
Multimodal Small-Object Detection with Faster R-CNN & CLIP
Language-guided localization and semantic reranking for small objects in highly cluttered scenes.
View project ↗
Document-Grounded RAGDocument-Grounded RAG QA Assistant
Embedding retrieval, citation-grounded generation, hallucination analysis, and evidence-aware abstention.
View project ↗CERTIFICATIONS
Industry-recognized AI & ML credentials.
Certification images can be dropped directly into the cards below.
Add AWS certification imageAmazon Web Services · Sep 2026
AWS Certified Machine Learning Engineer – Associate
MLA-C01
Add IBM certification imageIBM · Sep 2026
Deep Learning with TensorFlow – Advanced
ML0120EN
Add Databricks certification imageDatabricks · Jun 2026
AI Agent Fundamentals & Generative AI Fundamentals
Generative AI and agent foundations
Add Databricks certification imageDatabricks · Jun 2026
AI Agent Fundamentals & Generative AI Fundamentals
Generative AI and agent foundations
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Experience
Engineering experience across AI, data, and backend systems
Feb 2025 — Oct 2025
PTKOREA · Samsung.com Data Engineering
Backend Engineer II
- Built Spark and SQL data pipelines for more than 7 billion annual Samsung.com web analytics records.
- Orchestrated containerized ETL workflows using Airflow, Kubernetes, Docker, and AWS.
- Designed PostgreSQL schemas and backend APIs for an internal financial platform.
Jan 2020 — Jun 2024
LG Electronics North America · R&D
Software Engineer II
- Built production data dashboards and automated analytics systems using Python, SQL, PostgreSQL, and Docker.
- Developed computer vision models for automated product defect inspection with TensorFlow and OpenCV.
- Implemented AGV path-planning and traffic regulation logic for factory material transportation.
EDUCATION
Academic foundation in computer science and engineering.
Graduate and undergraduate coursework spanning AI, systems, and software engineering.
Sep 2024 — Dec 2026
University of Massachusetts Amherst
M.S. in Computer Science, AI Concentration
GPA: 3.93. Graduate coursework in Systems for Data Science, Machine Learning, Neural Networks, Advanced Text as Data, and Artificial Intelligence.
Mar 2016 — Feb 2020
B.E. in Electronics Engineering, Software Engineering Track
Coursework in Object Oriented Programming, Programming Structures, Computer Architecture, and Digital Signal Processing.
Let’s connect
Let’s build something great together.
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 +1 413-399-7241