Available to hire
I am an AI/ML Engineer with 8+ years of experience driving business growth through intelligent models and automation. I specialize in reinforcement learning, computer vision, NLP, and scalable data pipelines, delivering production-ready solutions that adapt to changing data and business needs.
I thrive in collaborative environments, prioritize explainability and fairness, and enjoy turning complex findings into actionable insights through dashboards and interactive tools.
Skills
Work Experience
AI/ML Engineer at EverBank
April 1, 2024 - November 11, 2025Developed GPT-based generative models for sentiment analysis and text generation to advance conversational automation. Built NLP pipelines for intent detection and named entity recognition using SpaCy, NLTK, and Hugging Face Transformers. Deployed models as RESTful APIs and microservices, implemented explainability with SHAP/LIME, and integrated MLOps with Docker, AWS Lambda, AWS Glue, and Step Functions. Enabled real-time data processing with Kafka and Spark; tuned hyperparameters with Optuna and tracked experiments with MLflow. Applied reinforcement learning for adaptive decision-making and explored bias mitigation and fairness throughout the lifecycle.
Machine Learning Engineer at Winona Health
March 1, 2024 - March 1, 2024Built deep learning models in PyTorch (CNNs, LSTMs, Transformers) for vision and language tasks. Integrated Azure Cognitive Services and Azure OpenAI for NLP automation. Established automated CI/CD pipelines for deployment, monitoring, and retraining. Implemented low-latency inference via REST APIs, monitored drift, and designed Power BI dashboards to visualize outputs for decision support. Built cloud-based data pipelines with Azure Synapse, ADF, and SQL Server; used Spark/Hadoop for scalable training; performed hyperparameter tuning with Optuna; conducted AB testing to validate model outcomes. Deployed YOLO-based real-time object detection for dynamic environments.
Data Scientist at Bridge City Insurance
September 1, 2022 - September 1, 2022Performed time series forecasting for demand planning and strategic decision-making. Applied NLP and sentiment analysis to customer feedback and integrated predictive models (classification, regression, clustering) with Scikit-Learn. Built ETL pipelines and optimized SQL queries (Snowflake/MySQL). Automated reporting and dashboards (Tableau/Power BI) and implemented Bayesian methods for uncertainty quantification. Worked with cross-functional teams to embed data-driven solutions into business processes.
Data Analyst at AppLovin
May 1, 2019 - May 1, 2019Extracted and analyzed large datasets using SQL; automated data cleaning and EDA with Pandas/NumPy. Built dashboards in Excel/Google Sheets and collaborated with product teams to run A/B tests. Supported ETL workflows with Spark/Hadoop and wrote optimized SQL queries for reporting. Contributed to data-driven decision-making across marketing and product domains.
Education
Bachelor of Science, Information Systems at San Francisco State University
January 11, 2030 - November 11, 2025Qualifications
Industry Experience
Software & Internet, Financial Services, Healthcare, Professional Services
Skills
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