Thomas Rivera
@thomasrivera
Senior AI/ML Engineer with expertise in scalable AI solutions.
What I'm looking for
I am a Senior AI/ML Engineer with over 11 years of experience in developing and deploying robust, scalable AI and machine learning solutions across various industries, including biotech, healthcare, finance, and telecommunications. My expertise lies in Python, MLOps, and Big Data technologies, with a strong focus on cloud platforms such as AWS, Azure, and GCP. I excel in transforming raw data into strategic value through machine learning and data science, ensuring high-performance analytics and streamlined operations.
Throughout my career, I have demonstrated a proven ability to orchestrate AI and machine learning workflows, utilizing tools like SageMaker for efficient model training and deployment. I have extensive experience in building and deploying AI models, including large language models, and have successfully integrated complex data processing with cloud services to enhance operational efficiency. My collaborative approach has allowed me to work effectively with cross-functional teams, leading to the successful implementation of innovative solutions that drive business growth.
Experience
Work history, roles, and key accomplishments
Sr. AI/ML Engineer
Prime Medicine, Inc.
Jul 2023 - Present (2 years)
Architected and deployed robust machine learning pipelines to support CRISPR gene-editing initiatives across multiple therapeutic programs. Built and optimized NLP models using BioBERT, Hugging Face Transformers, and spaCy to extract gene-disease relationships from biomedical research papers, patents, and clinical trial documents.
Sr. AI/ML Engineer
Charter Communications
Sep 2020 - Present (4 years 10 months)
Led the integration of ETL processes with MLOps pipelines, focusing on the deployment of AI/ML models. Developed and fine-tuned GPT-3.5, GPT-4, LLaMA, and BERT models to enhance customer engagement and optimize predictive performance for tasks like customer churn analysis and sentiment classification.
Data Scientist/ AI/ML Engineer
Master Card
Jun 2018 - Present (7 years 1 month)
Engineered scalable fraud detection models for card transaction analysis using autoencoders, Isolation Forests, and LSTM for time series pattern modeling. Processed 50M+ transactions daily via Apache Spark and Hive, reducing fraud detection time from 5 minutes to under 1 second.
Data Scientist
CenterWell Home Health
Oct 2014 - Present (10 years 9 months)
Built ML models to predict patient readmission risk using logistic regression, Random Forest, and survival models, reducing 30-day readmission rate by 12%. Merged patient vitals, EHR notes, and socio-demographic data to construct holistic risk profiles for over 80,000 patients.
Education
Degrees, certifications, and relevant coursework
The University of Houston
Bachelor of Science, Information Technology
Obtained a Bachelor of Science in Information Technology, building a strong foundation in IT principles and practices. Developed skills essential for a career in technology and data management.
The University of Texas at Austin
Master of Science, Computer Science
Completed a Master of Science in Computer Science, focusing on advanced topics and research within the field. Gained expertise in various computational theories and practical applications.
Tech stack
Software and tools used professionally
Azure Synapse
Apache Spark
AWS Glue
Superset
ggplot2
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
GitHub Actions
Salesforce
Jupyter
NumPy
Pandas
PySpark
Dask
Sqoop
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
HBase
Gmail
Databricks
Neo4j
Redis
Terraform
PyCharm
Jira
Apache Maven
Java
MATLAB
F#
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Streamlit
H2O
Neptune
NLTK
Kafka
FastAPI
Grafana
Prometheus
AWS Lambda
Airflow
Root Cause
CUDA
SQL
XGBoost
SciPy
Hugging Face
LightGBM
CatBoost
Donut
Availability
Location
Authorized to work in
Skills
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