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Work Background
A.I. Agent Research and Engineer
QuomeA.I. Agent Research and Engineer
Aug. 2025
Chief Technology Officer
Hovian Inc.Chief Technology Officer
Dec. 2024 - Dec. 2025Los Angeles County, California, United States- Led technical strategy and architecture decisions for the company's core platform, aligning engineering priorities with business objectives - Managed and scaled the engineering organization, overseeing hiring, team structure, and development processes
Masters Student
Columbia EngineeringMasters Student
Aug. 2024
Machine Learning Engineer / Researcher
NewAtlantis LabsMachine Learning Engineer / Researcher
Aug. 2024 - Aug. 2025Los Angeles, California, United States- Collaborated with and led team of 4 to innovate hierarchy-based Taxonomy Classifier architecture. - Built GTDB data ingest and Genomic Foundation Model deployment pipeline for model benchmark and research. - Improved taxonomy classification performance in order of 5 percent using novel model architecture. - Developed and deployed a scalable GLM command-line application empowering internal scientific research and development.
Data Scientist/Researcher
Caves LaboratoryData Scientist/Researcher
Aug. 2022 - Aug. 2023Cleaned research data on Male Swordtail fish from Caves Laboratory. Used Resampling, Polynomial Regression, Elastic Net Regression, KNN analysis, DNN’s, and Random Forest Ensembles to train and tune the best model fit for predicting subject behavior. Utilized Analysis of Variance procedures to determine best predictor variables for competitive behaviorisms. Efficiently collaborated with leading professor and lab director to resolve analytical and lab-motive conflicts. Applied principles of Experimental Design and Thinking to ensure valid analysis and established a model training pipeline.
Data Scientist / M.L. Engineer
Scripps Institution of OceanographyData Scientist / M.L. Engineer
Jan. 2021 - Aug. 2024Published a user-friendly interactive visualization web application integrating CalCOFI data streams, increasing website traffic by 10%. Collaborated with project sponsor to design deep learning architecture for analysis of whale audio spectrograms, reducing loss function convergence time by 50%. Took initiative to establish current operational codebase and workflow standards for future project contributions. Led team of 7 to innovate novel algorithms to preprocess spectrograms and improved model performance by 15%.

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