First Software Engineer at 64x Bio, playing a key role in defining and implementing software infrastructure at 64X Bio to support scientists and data scientists with engineering cell lines.- Designed the foundational PostgreSQL databases integral for tracking experimental samples, managing primer and guide RNA libraries, and overseeing engineered cell libraries.- Engineered a modular backend API from scratch utilizing FastAPI, streamlining database transactions and integration with external services, enhancing overall system robustness.- Pioneered the integration of laboratory devices with AWS, enabling real-time data accessibility for scientists and seamless database ingestion, enhancing data-driven decision-making.- Optimized lab operations and data accuracy by developing essential tools for laboratory scientists, including automated barcode labels, sample/order sheet generation and worklist normalization.- Enhanced user engagement and data interpretation by crafting the preliminary front-end LIMS UI utilizing Refine and React, offering intuitive database table views and visualizations.- Established and upheld best practice systems for development, creating a benchmark for issue tracking and project documentation, fostering consistency and efficiency across software engineering endeavors.

Transitioned to software engineering consulting for Roche Sequencing as part of the Cloud Engineering team working on backend infrastructure for cloud data pipelines and data visualization platforms, through Google Partner MediaAgility.- Spearheaded the design and implementation of backend features for an internal data visualization platform, enhancing the experience for 300+ internal stakeholders for DNA sequencing analysis.- Leveraged Chaco to develop server-side plotting capabilities, eliminating client-side rendering for datasets with 200,000+ data points.- Introduced a real-time data filtering mechanism for multidimensional datasets, achieving a 95% reduction in processing time and enabling users to instantly generate customized combination data vectors.- Architected an on-premise deployment strategy using Docker networks, leading to a 98% faster boot-up for frequently accessed DNA sequencing datasets.

Developing internal tools to aid R&D to Product.

Contracted as a Bioinformatics Associate Engineer to work on processing, analyzing and visualizing Next Generation DNA Sequencing. Worked specifically on the Bioinformatics team to optimize the NGS and variant calling algorithms for analysis of large genomic data sets.- Analyzed performance of adapter and barcode trimmers on Complete Genomics NGS data.- Created workflow for analyzing and visualizing for GC bias in Complete Genomics NGS data- Developed a multi-processed whole genome database that includes variant information and easily compares sequencing reports against the whole genome. Optimized said database from multiple report processing by 10x. - Developed workflows with bioinformatics tools such as BWA, alientrimmer, skewer, GATK, samtools, bamtools, bedtools, etcSkills Utilized: Python, MYSQL, SQLITE3, Bioinformatics Tools, Matplotlib, Bash

Started off as a Summer Intern for the Bioinformatics Team tasked with developing and integrating a backend algorithm for variants. Contracted past internship to do part-time work to support Omicia's Opal Tool.Omicia is now known as Fabric Genomics.Activites:• Built tools for the realignment of indels, ensuring all indels used by the pipeline have consistent nomenclature, reducing indels to a common set• Ensured all details provided about the reference genome by the customers is correct, preventing erroneous data input to the database• Applied the developed tools to convert existing data to the accepted nomenclature for indels• Built a set of Pre-flight Scripts to ensure elements of the pipeline are working prior to starting itSkills Utilized: Python, MySQL, MYSQL Alchemy, MongoDB, Bash Scripting, Git, Software Testing

The Open Viral Load project aims to develop an open-source, affordable genetic assay test for HIV that can be easily modified to test other pathogenic diseases, such as tuberculosis and the Zika virus. This project will allow low resource communities to receive the regular testing they need in order to know the status of their viral disease or to quickly diagnose patients with other pathogenic illnesses.Activities:• Developed a viral load scanning device for low resource areas in conjunction with Global Ties at UCSD as a founding project member. • Oversaw a team of 17 undergraduate students in three sub-teams as the All Team Lead• Communicated with clinics in Mozambique and Tijuana for preliminary testing. • Specifically worked on an optical device for imaging and analyzing Digital PCR results, utilizing Simple CV and Python Scikit-Image on a Raspberry Pi for Software Analysis• As a team, entered and Won the San Diego Social Innovation Challenge and the Berkeley Big Ideas Competition. Skills Utilized: Python, OpenCV, SimpleCV, SciKit Image, Agile, Light C, Prototyping

• Overall goal to provide support for Illumina’s data analysis software. • Worked independently in cross-functional teams to lead the testing effort for bioinformatics data analysis software.• Applied knowledge to develop, modify, and execute software test plans and test cases.• Worked with software developers, bioinformatics scientists and domain experts in designing, performing, and improving the verification process.• Collaborated with peers to identify opportunities for process improvement.• Developed and execute automation script for data validation.Skills Utilized: Basespace, Software Testing, Jira, Agile and Scrum Methodologies, Visual Studio, Light Automation Testing

• Represented UC San Diego to 40,000+ visitors every year• Gave 90-minute walking tours of campus to groups of prospective and admitted students and their families in groups ranging in size from 10 to 60 individuals• Appeared on student panels and represent the university in official publications• Explained the history, academic structure, student life/housing/dining, etc. of UC San Diego to large groups while also maintaining personal connections through discussing my experience and involvement at the university• Worked front desk at Office of Undergraduate Admissions and answer basic admissions-related questions to prospective students