AbbVie
Developed and deployed scalable solutions using Python, AWS, and Docker with contributions to key projects. I integrated Large Language Models into analytical workflows by fine-tuning pre-trained models and optimizing infrastructure. I implemented CI/CD pipelines using AWS CodePipeline and Docker
University of Wisconsin-Madison
Developed and Conducted research under Professor Xiangyao Yu on GPU-acceleration for the DuckDB database system, leveraging CUDA programming to optimize query processing and data management. I benchmarked the database to identify potential bottlenecks and performance issues, demonstrating significant speedup in high-concurrency workloads. I developed parallel algorithms for database operations such as sorting, joins, and aggregation, achieving up to 150% improvement in processing speed
iD Tech
I led comprehensive instruction in Python-based Machine Learning and advanced Java for a clientele who collectively spent over $75,000. I further drove the enhancement of my managerial skills and leadership prowess, alongside the continuous expansion of technical proficiencies.