Micah Forster
Machine Learning Engineer with several years of hands-on experience in the research and development of large-scale NLP pipelines, and deep learning solutions in telecommunications. My work includes implementing highly visible applications with ESPN Fantasy Football, Wimbledon and Grammys, delivering insights to millions of users.
Professional Experience
Machine Learning Consultant
November 2024 - PresentQVEST.US
- •Led development of asset content supply chain workflow automation pipeline at NBCU utilizing Agentic workflows over MCP
- •Developed natural language pipeline for text extraction from legal contracts for Matel using optical character recognition and entity classification
- •Deployed solutions using AWS Cloud architecture (ECS, OpenSearch, S3, Lambda Functions) with LangGraph, MCP, GPT-4o, and FastAPI
Machine Learning Consultant
March 2023 - November 2024M. FORSTER
- •Performed unsupervised learning Topic Modeling (BERTopic, LDA) on survey open textual responses in AWS SageMaker
- •Implemented few-shot prompting with Anthropic Claude for extractive summarization on demographic cross-tab tables
- •Built anomaly detection systems using isolation forest and CNN residence classification for small business analysis in Azure
Data Scientist & Machine Learning Engineer
April 2017 - April 2022IBM
- •Implemented an extractive multi-doc summarization utilized on an internal dashboard for deriving insights about COVID-19
- •Built an ensemble of 52 machine learning models to predict fantasy golf player positions at the Masters Fantasy mobile app
- •Constructed end-to-end Natural Language Processing pipeline trained on 250 Gigabytes of data for ESPN's Fantasy Football platform
Machine Learning Engineer & Full Stack Developer
August 2015 - April 2017IBM
- •Team-lead for deployment of Watson in the Wall at the Masters using facial recognition and natural language conversation
- •Led the development of conversational agents on Pepper robots integrated with Watson AI SDK at the US Open Tennis event
- •Developed front-end for robotic gateway that allowed users to configure registered devices with Watson AI services
Skills & Expertise
Technical Skills
- •Languages: Python (Pandas, Numpy, scikit-learn, Tensorflow, PyTorch, Keras)
- •Machine Learning: Topic Modeling, LLM, Regression, Decision Trees, RandomForest, XGBoost, SVM, K-Means, Word Embeddings, Computer Vision
- •Data Management: SQL, PySpark, EDA, ETL, Data Wrangling, Feature Engineering, S3, OpenSearch
- •Container Technologies: Docker, Kubernetes, ECS
Advanced Techniques
- •Statistical Methods: Regression, Classification, Clustering, Statistical Learning, Hypothesis Testing, A/B Testing
- •AI Platforms: IBM AutoAI, AWS SageMaker
- •DevOps/MLOps: GitLab, CI/CD pipelines
- •Cloud: AWS, Azure, Google Cloud Platform
Education & Certifications
Bachelor's Degree in Computer Information Science
University of North Florida
Graduated with a focus on software engineering and information systems.
Professional Certifications
- •Machine Learning
- •Unsupervised Learning
- •Introduction to PySpark
- •Time Series Analysis in Python
- •Statistical Thinking