Grantham Thomas

Machine Learning Engineer

Austin, United States

Summary

Innovative Machine Learning and Full Stack Engineer with 9+ years of experience building and optimizing AI-driven systems. Skilled in deep learning,
MLOps, Python, and LLM-based automation using PyTorch, TensorFlow, FastAPI, LangChain, AWS, and Docker. Experienced in Full Stack
Development with React, Node.js, Python, and Express, creating scalable web platforms with PostgreSQL and MongoDB. Passionate about developing
end-to-end ML pipelines and LLM-powered applications that enhance automation, performance, and data-driven decision-making.

Languages:

English

Favorite Python Packages:

TensorFlow, PyTorch, XGBoost, Keras, spaCy, OpenAI API, Hugging Face Transformers, LangChain, LangGraph, RAG Pipelines, Pandas, NumPy, Airflow, SQL, Tableau, Matplotlib, Seaborn, Data Preprocessing, Feature Engineering, FastAPI, Flask

Experience

Apple                              Austin, Texas
Machine Learning Engineer                     09/2024 – 10/2025
•  Contributed to Apple’s consumer ecosystem, enhancing user experience through intelligent on-device AI systems for personalization and efficiency.
•  Built optimized deep learning models for the On-Device Intelligence Platform with PyTorch and TensorFlow, improving inference speed by 38%.
•  Scaled the AI Personalization Engine by implementing scalable ML pipelines with FastAPI, Kubernetes, and AWS, boosting system reliability by 42%.
•  Optimized Model Serving Infrastructure  by integrating quantization and pruning techniques with TorchServe and Docker, cutting compute cost by 33%.

Slalom                                   Remote
Principal, Global AI                      08/2022 – 08/2024
•  Supported digital transformation across consulting and business intelligence sectors by integrating advanced AI automation at scale.
•  Architected GPT-based conversational systems with OpenAI, LangChain, and Azure ML, boosting automation efficiency by 47%.
•  Built retrieval-augmented generation pipelines using Pinecone and FAISS, improving response accuracy by 41%.
•  Enhanced MLOps Framework by implementing CI/CD and monitoring with MLflow, Docker, and GitHub Actions, cutting deployment time by 36%.

EXOS                                 Remote
Lead Machine Learning Engineer                           07/2021 – 08/2022
•  Built hybrid ML models for the Personalized Fitness Recommendation System with TensorFlow and FastAPI, boosting user engagement by 29%.
•  Developed the Workout Analytics Dashboard with React, Node.js, and AWS Lambda, improving data visibility by 45%.
•  Optimized the Data Processing Pipeline with Airflow and PostgreSQL, reducing ETL latency by 40%.

TrueBlue, Inc                               Remote
Full Stack Machine Learning Engineer                      06/2020 – 07/2021
•  Built candidate ranking models for the Predictive Hiring Platform using Python, XGBoost, and Flask, improving matching accuracy by 31%.
•  Developed the ML Monitoring Dashboard with React, Express, and AWS CloudWatch,  reducing troubleshooting time by 27%.
•  Enhanced the Data Automation System using Airflow and PostgreSQL, cutting model retraining cycles by 35%.

BBVA in the USA                          Dallas, Texas
Machine Learning Engineer                        06/2018 – 07/2020
•  Developed the Credit Risk Assessment System using Python, Flask, and Docker, reducing loan default risk by 21%.
•  Enhanced the Data Engineering Workflow by integrating ETL pipelines with SQL and AWS S3, improving data throughput by 37%.

Auburn University                        Auburn, Alabama
Data Analyst                            07/2016 – 06/2018
•  Developed regression models for the Student Performance Analytics Project using R, Python, and scikit-learn, improving prediction accuracy by 28%.
•  Built the Enrollment Forecasting Dashboard using Tableau and SQL, enhancing administrative decision-making efficiency by 31%.

Skills

Apache, Apache Airflow, Artificial Intelligence (AI), Backend Development, Big Data, DevOps, Django, Flask, Frontend Development, Hadoop, Keras, Machine Learning, Matplotlib, MySQL, PostgreSQL, PyTorch, ReactJS, SQLAlchemy, Scrapy, Spark, TensorFlow, wxPython