emails go here ⟼me@austinarmstrong.dev
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
Austin Armstrong is a software engineer in Brooklyn NY. Currently busy building LLM data enrichment pipelines for pager.xyz.
I Developed an email-based data intake pipeline that parsed & stored muti-vendor point of sale spreadsheet data into a central sales DB schema, utilizing python + cloud tooling on AWS.
Data is stored on an RDS PostgreSQL instance & can be queried directly by financial reporting analysts.
An 8-page tableau dashboard was also integrated & developed to allow efficient reporting of sales data to the executive team.
Data is stored on an RDS PostgreSQL instance & can be queried directly by financial reporting analysts.
An 8-page tableau dashboard was also integrated & developed to allow efficient reporting of sales data to the executive team.
At Arrow, I helped identify systematic errors impacting data integrity across Arrow’s largest components warehouses, affecting millions of dollars of inventory & compliance in external audits.
I regularly utilized R, SQL, & the tidyverse for daily analysis, visualizations, and reporting to management. Employed techniques including multilevel linear models, logistic regression models, ARIMA, & Bayesian state time series models.
I regularly utilized R, SQL, & the tidyverse for daily analysis, visualizations, and reporting to management. Employed techniques including multilevel linear models, logistic regression models, ARIMA, & Bayesian state time series models.
I Designed and executed computational research fully funded by the University of Denver's school of Natural Sciences to score the binding affinities and catalytic capacity of Phenylalanine Synthetase to aminoacylate non-canonical phenylalanine derivatives.
Within the scope of the research I regularly utilized molecular modeling and molecular dynamic computational toolkits coupled with physical in vitro methods. My results made use of cluster analysis (Kmeans, DBSCAN, Agglomerative), dimensional reduction (PCA, TICA), Markov state models, kernel density estimation, statistical mechanics, MM(GB)SA free energy analysis, and molecular dynamic simulation.
Within the scope of the research I regularly utilized molecular modeling and molecular dynamic computational toolkits coupled with physical in vitro methods. My results made use of cluster analysis (Kmeans, DBSCAN, Agglomerative), dimensional reduction (PCA, TICA), Markov state models, kernel density estimation, statistical mechanics, MM(GB)SA free energy analysis, and molecular dynamic simulation.
Hello There 🖖
My name is Austin Armstrong. I'm a software engineer in Brooklyn, with over 6 years of experience building consumer product in cross-functional teams.
My experience is strongest with full stack typescript projects (React, NestJS, & PostgreSQL).
Over the last year my work has focused on LLM integration for data classification & enrichment.
Continue scrolling to see some of my previous projects.
Want to say hi? me@austinarmstrong.dev.
I Developed an email-based data intake pipeline that parsed & stored muti-vendor point of sale spreadsheet data into a central sales DB schema, utilizing python + cloud tooling on AWS.
Data is stored on an RDS PostgreSQL instance & can be queried directly by financial reporting analysts.
An 8-page tableau dashboard was also integrated & developed to allow efficient reporting of sales data to the executive team.
Data is stored on an RDS PostgreSQL instance & can be queried directly by financial reporting analysts.
An 8-page tableau dashboard was also integrated & developed to allow efficient reporting of sales data to the executive team.
I Designed and executed computational research fully funded by the University of Denver's school of Natural Sciences to score the binding affinities and catalytic capacity of Phenylalanine Synthetase to aminoacylate non-canonical phenylalanine derivatives.
Within the scope of the research I regularly utilized molecular modeling and molecular dynamic computational toolkits coupled with physical in vitro methods. My results made use of cluster analysis (Kmeans, DBSCAN, Agglomerative), dimensional reduction (PCA, TICA), Markov state models, kernel density estimation, statistical mechanics, MM(GB)SA free energy analysis, and molecular dynamic simulation.
Within the scope of the research I regularly utilized molecular modeling and molecular dynamic computational toolkits coupled with physical in vitro methods. My results made use of cluster analysis (Kmeans, DBSCAN, Agglomerative), dimensional reduction (PCA, TICA), Markov state models, kernel density estimation, statistical mechanics, MM(GB)SA free energy analysis, and molecular dynamic simulation.
