About Me

Eight years of extensive experience in upstream and downstream process development, optimization, tech transfer, and scale-up operations. Beyond core operations, I specialize in bridging the gap between biotechnology and data science to drive continuous process improvements and enable data-driven decisions.

Data Science Experience

Sr. Process Engineer - Boehringer Ingelheim

Jan 2025 - March 2026

Engineered and deployed a predictive maintenance dashboard application for skid valves, eliminating risks associated with prolonged equipment failure and manufacturing down time
Collaborated in the development of facility fit application with data scientist to optimize client process integration evaluations
Provided mentorship and direction to data science interns in advanced data management and machine learning techniques to proactively identify and predict manufacturing problems

Process Development Manager - Vitrolabs Inc

June 2023 - October 2024

Architected and deployed a centralized, company-wide SQL database integrated with Looker Studio, establishing a single source of truth for cross-functional bioprocess data
Developed and deployed interactive Plotly Dash applications to visualize complex bioprocess datasets, enabling real-time trend analysis and data-driven decision-making
Streamlined data ingestion pipelines to reduce processing and reporting cycle times by 90%, significantly accelerating R&D feedback loops
Implemented API integrations for analytical instruments for automated data export
Developed a high-throughput mini-bioreactor system to accelerate process optimization and screen fermentation parameters

Senior Associate Scientist - Amyris

April 2021 - June 2023

Developed automated Python/SQL pipelines to streamline complex fermentation calculations, eliminating manual data entry and accelerating post-run analysis
Led ISPR fermentation project achieving 300% productivity improvement by applying modeling and design of experiments

Research Scientist - Marrone Bio Innovation

April 2019 - April 2020

Optimized optimize 10-100L fed-batch processes to enhance control and productivity by implementing MFCS algorithm
Retrofitted a legacy manual Tangential Flow Filtration (TFF) skid with custom data acquisition and control automation, transforming it into a high-precision digital system
Evaluated the feasibility of transitioning from fed-batch to continuous fermentation by developing mass balance and Monod kinetics models to predict steady-state performance

Featured Projects

Bioprocess Tools

Various bioprocess application such as process data visualization, manufacturing schedule optimization, and process simulation

Plotting Application

Plotting application using Plotly for visualization of data with interactive features such as selection and filtering

Global MDR-TB Analysis Dashboard

Interactive visualization of Multi-Drug Resistant Tuberculosis (MDR-TB) trends across different countries.

MDR-TB Income Group Analysis

Analysis of MDR-TB patterns across different World Bank income groups, highlighting global healthcare disparities.

Additional Projects

Computer Vision For Game Bot Automation

Image recognition with OpenCV and YOLO for game bot automation

Integration of Large Language Model for Internal Bioprocess Documents

In Progress

Developing an internal RAG-based LLM system to query and analyze complex bioprocess documentation.

Education

Master of Science in Chemical Engineering

University of California, Davis

GPA: 3.8 | Graduated September 2018

Awards & Certifications

Deep Learning IBM Certification
Data Engineering Foundations IBM Certification
Python & Data Science IBM Certification
40th Symposium On BioFuel/Chemical Best Poster Award
SAChE - Chemical Reactivity Hazards
Six Sigma Yellow Belt

Contact

[email protected](510)-386-8085 LinkedIn Profile