Senior Python Developer and Principal Scientist

I architect, build, and maintain the company's computational platform, spanning database schemas, REST APIs, job orchestration, and a React frontend. The platform uses FastAPI, PostgreSQL, Celery, Redis, and GPU-enabled workloads to support data curation, simulation, and analysis as an auditable pipeline.

I set technical direction across concurrent programs under finite GPU capacity. I have improved performance through persistent caching and offline prewarming, strengthened reliability through subprocess isolation and safer job layouts, and built streaming readers to control memory use during concurrent trajectory analysis.

I served as technical lead for large-molecule programs within a Merck engagement.

I strengthened data-integrity practices across OpenLab, Empower, ELN, and LIMS systems, supporting compliant scientific data workflows.

I acted as technical lead for method qualification, validation, and transfer activities.

I supported more than ten client programs, applying scientific rigor, reproducibility, and data-integrity practices across analytical workflows.

I worked as a Senior Analytical Scientist in a regulated pharmaceutical environment.

I partnered with IT to implement compliant software and database controls that supported data integrity and reliable scientific operations.

I held earlier pharmaceutical roles across Aphena Pharma Solutions and Cadista Pharmaceuticals.

These positions contributed to my foundation in regulated pharmaceutical work, analytical science, quality-focused processes, and data integrity.

Doctoral research in medicinal chemistry and computational biology. Applied homology modeling, binding-pocket prediction, and machine-learning druggability, toxicity, and pharmacophore models to prioritize compounds against Trypanosoma cruzi.

Bachelor of Science in Chemistry with minors in Mathematics and Physics.