CV
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Experience
- Architected, and lead development of, model pipelines for training, deploying, and monitoring, in GenAI initiative.
- Planned, designed, and performed, multiple cross-team software migrations into AWS SageMaker.
- Optimized PySpark pipelines, drastically reducing model training and inference time, and improving overall model accuracy.
- Developed a standardized Python package for AWS, logging, and test reliability, to reduce Data Scientist overhead within AWS environments.
- Led the initiative to update repositories and defined engineering best practices, reducing development time and increasing CI/CD reliability within Jenkins.
- Onboarded and supported offshore team by running agile ceremonies and creating documentation on engineering standardization, expectations, and software redesign.
- Designed, and implemented, transition from batch file processing to a new API endpoint for forecasting models.
- Developed data analytics tools with machine learning algorithms to assist engineers with hardware analysis.
- Processed system data, sensor data, and real time flight data in order to improve GNC algorithms.
- Took on responsibilities of Scrum Master and led CI/CD initiative.
- Implemented signal processing algorithms, and time cirtical control functions, involved in direct control of sensor system.
- Improved speed, performance, and scalability of signaling routing to fit the needs of customers in emerging markets.
- Processed data in real time for GNC Algorithms and post-test analysis.
- Created an internal, professional, social media platform to improve company-wide communication
- Developed applications for both the Raspberry Pi and Google Glass to improve workflow and efficiency within Pfizer.
Education