Lav Patel

Team Lead Software Engineer

Driving Innovation in Biomedical Informatics

About Lav Patel

Objective-driven Senior Team Lead Software Engineer with a wealth of experience in spearheading the development of cutting-edge solutions within the healthcare industry. Results-oriented and consistently recognized as the top performer amongst a team of 20 for the past 6 years, securing promotions in every performance evaluation. I possess a strong background in designing and implementing scalable systems, leading technical teams, and effectively managing multiple projects. Demonstrating an impressive track record of enhancing system efficiency, I have successfully reduced execution times and resolved slow data pipelines. Proficient in languages such as Python, R, SQL, Bash, C++, and technologies like Azure, AWS, Databricks, Docker, Linux, Git, and various databases.

As a seasoned professional, I have a proven track record of delivering high-impact projects, fostering collaborative environments, and mentoring junior engineers. My expertise spans a wide range of technologies, including machine learning, data analytics, and cloud-based architectures, all of which I leverage to tackle complex challenges in the biomedical field.

Key Achievements

Architected and implemented a COVID-19 data pipeline connecting approximately 10 prestigious hospitals in just 7 days, a task that typically takes 1.5 months
Improved the execution speed of PCORNET Common Data Model (CDM) task, reducing processing time from 233 hours to 5 hours (47X faster)
Led initiative to secure and protect over 21 Million Medicare and Medicaid patients data, maintaining zero security breaches

Key Objectives

To lead and innovate in the development of high-performance, scalable biomedical informatics systems that significantly improve healthcare data processing and analysis
To apply advanced software engineering and data science techniques to solve complex healthcare challenges, particularly in areas like COVID-19 research and large-scale patient data management
To drive the implementation of secure, efficient, and compliant healthcare IT infrastructures that can handle sensitive patient data while meeting strict industry standards and regulations

Resume

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Work Experience

Feb '21 - Present

Senior Team Lead - Biomedical Informatics Software Engineer

University of Kansas Medical Center

Successfully led a cross-functional team of 10 engineers in the development and implementation of a cutting-edge biomedical informatics software system.
Architected and oversaw the construction of a COVID-19 data pipeline, connecting approximately 10 prestigious hospitals in just 7 days.
Headed the Knowledge Discovery Team and authored 20 papers on COVID-19.
Employed Python, PyTorch, Scikit-learn, Triton, CUDA, C++, and SQL.

Aug '20 - Mar '21

Team Lead - Biomedical Informatics Software Engineer

University of Kansas Medical Center

Significantly enhanced the execution speed of PCORNET Common Data Model (CDM) task, resulting in a reduction from 233 hours to 5 hours (47X faster).
Leveraged Python, Java, Spark, SQL, Airflow, Bash, and Jenkins.

Feb '19 - Sep '20

Biomedical Informatics Software Engineer

University of Kansas Medical Center

Improved speed and flexibility of a slow data pipeline, reducing processing time from 4 hours to 5 minutes.
Debugged and optimized the main Extract Transform and Load (ETL) process, decreasing processing time from 28 days to 7 days.
Debugged an open-source Java software called I2B2, optimizing the system to achieve query completion within seconds.