Full Stack Swe And Data Scientist
CurrentNotable Work:- ML work featured at the UN: https://aiforgood.itu.int/summit23/- Systems and methods for in-silico biopanning: WO2023220205A1- Systems and methods for algorithmically estimating protein concentrations: WO2022246224A1 - Systems for end-to-end optimization of precision fermentation-produced animal proteins in foodapplications: WO2022246284A2- Compositions for preparing animal-free egg-like products: WO2022182799A1Big Projects- Managed the buildout of a company knowledge graph that integrates millions of data points for probabilistic graph learning, data visualization, and efficient querying in Python, C++, and JS.- Built genomic data pipelines moving petabytes of data for training models and performing yeast strain quality control. Built web applications in Python and JS to support interactions with the data and pipelines.- Built an ML data pipeline for discovering new products from protein databases, yielding 12 commerciallyviable proteins, and unlocking billions of dollars in future markets; work is patent pending- Assisted in the implementation of a genetic algorithm to optimize protein yield by 10% using online fermentation parameters.- Designed spectroscopy-trained neural nets in PyTorch and continuous retraining pipelines in GCP to estimate key company metrics with 10x less capital.- Built MCMC TEMs and visualization tools in SQL and JS to address EVERY's manufacturing scale-up challenges.- Built bioinformatics pipelines to accelerate FDA GRAS approval of the EVERY EggWhite: the world's first true animal-free egg.- Built and maintained our authorization systems, cookie permissions handling, and DevOps infrastructure for CI.
