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Brandon Pak

@brandonpak

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Senior Machine Learning Engineer with 9+ years of impactful AI solutions.

United States

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What I'm looking for

I am looking for a role that challenges me with innovative AI projects and offers opportunities for professional growth in a collaborative environment.

I am a Senior Machine Learning Engineer with over 9 years of hands-on experience in delivering impactful AI and ML solutions across various industries, including healthcare, gaming, e-commerce, and finance. My expertise lies in leading the end-to-end development of scalable machine learning systems, utilizing modern MLOps practices to ensure high performance and reliability. I am passionate about creating user-centered AI applications that deliver measurable business value.

Throughout my career, I have successfully led multiple high-impact AI initiatives, collaborating with cross-functional teams to optimize patient journeys and enhance retail forecasting. My work includes designing and deploying Generative AI applications, developing personalized recommendation engines, and implementing computer vision models that significantly improve operational efficiency. I thrive in environments that challenge me to innovate and push the boundaries of technology, and I am committed to mentoring others in AI best practices to foster a culture of continuous learning.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

McKinsey & Company

May 2022 - Present (3 years)

Led end-to-end development of machine learning solutions across healthcare and e-commerce, optimizing patient journeys and retail forecasting. Designed and deployed Generative AI applications using LLMs, LangChain, and LangGraph to automate documentation and assist healthcare professionals.

Machine Learning Engineer

Epic Games

Jul 2019 - Present (5 years 10 months)

Implemented AI features to enhance user experience, safety, and personalization for top-tier games. Designed and implemented real-time ML models using PyTorch and TensorFlow to personalize gaming experiences, enhance matchmaking, and predict player churn.

Python PyTorch TensorFlow Computer Vision Apache Kafka Apache Flink Apache Spark Scala NLP Deep Learning Recommendation Systems Docker Kubernetes Terraform Flask

Data Scientist

Upstart

Jun 2017 - Present (7 years 11 months)

Developed credit risk assessment models using Scikit-learn and XGBoost to enhance loan underwriting accuracy. Created customer segmentation models using clustering and classification techniques, enabling more targeted marketing campaigns.

Python SQL scikit learn Flask Vertex AI BigQuery Airflow Presto Power BI Looker Generative AI Financial Forecasting

Data Analyst

Buske Logistics

Jul 2015 - Present (9 years 10 months)

Analyzed global logistics data to identify supply chain inefficiencies, providing actionable insights that supported optimization initiatives. Built demand forecasting models using TensorFlow and Spark MLlib, improving inventory control and reducing stockouts.

Python TensorFlow SQL Apache Kafka Apache Spark GCP BigQuery Power BI Looker Docker Kubernetes Data Engineering

Education

Degrees, certifications, and relevant coursework

University of California, Berkeley

Master of Science, Computer Science

Completed a Master of Science degree in Computer Science. Focused on advanced topics in computer science and conducted research in relevant areas.

University of California, Berkeley

Bachelor of Science, Electrical Engineering and Computer Sciences

Obtained a Bachelor of Science degree in Electrical Engineering and Computer Sciences. Gained foundational knowledge in both electrical engineering principles and computer science concepts.