Alex Stangl Resume

Experience

Jan 2022 – Jun 2026

Engineered backend features and batch processing modules using Scala, Akka, ZIO, Postgres, and GraphQL, later transitioning to build and maintain the replacement TypeScript BFF service layer running in Node.js
Automated critical customer self-service actions by extending the help site chatbot and internal support application (Baymax) using TypeScript and Node.js/Next.js, and integrating with Salesforce
Modernized cloud infrastructure by porting application repositories to declarative Jenkins and configuring multi-region AWS Kubernetes (EKS) deployment pipelines via Spinnaker and Istio
Evaluated and leveraged generative AI tools (Claude Code, Cursor, MCPs) to optimize personal engineering velocity, using automated workflows for code generation, bug detection, and draft PR reviews

Jan 2021 – Dec 2021

Engineered core ZIO and Kafka components for Prometheus, Capital One's next-generation financial processor designed to handle billions of high-throughput transactions
Developed data conversion modules using Go and TypeScript prior to transitioning to the core platform team

Mar 2019 – Jan 2021

Developed reactive microservices and big data pipelines using Scala, Spark, Clojure, Java, and GeoTrellis across distributed AWS EC2/EMR clusters to process global planting, harvest, and agricultural data streams
Enhanced predictive field-health visualizations across tens of millions of acres by architecting an advanced color contour model in Scala that factored in distinct lab assay variables
Architected resilient service layers integrated with Akka, Postgres, and Avro, utilizing Hystrix circuit breakers and conducting high-load performance testing via Gatling

Jan 2018 – Feb 2019

Maintained mechanistic crop models and optimized an existing MCMC Bayesian calibration algorithm in Scala to continually tune model parameters
Reduced cloud operational expenses by developing an AWS infrastructure autoscaler that dynamically sized EC2 compute pools based on algorithmic parallelism constraints and core counts
Engineered front-end map components using ScalaJS and React integrated with Leaflet to visualize model data in histograms overlaid on a map

Jan 2015 – Dec 2017

Architected genome-wide and marker-assisted selection pipelines on Amazon SWF using Scala and Java functions, and wrote application to convert PCR data into probabilistic genotypes that fed directly into these workflows
Engineered a static analysis validation tool that parsed complex workflow JSONs to perform automated type-checking and interface validation between asynchronous distributed activities
Improved pipeline observability by developing a custom workflow diagramming and visualization tool powered by the Graphviz engine
Created and distributed a centralized suite of internal automation tooling, standardizing routine operations like CloudFoundry credential management and log extraction tasks across teams