New York, New York, United States
AI Platform / ML Observability
Full-stack implementation of a secure GenAI observability system, including a high-throughput backend store built on Golang, Cassandra, and Kafka/Flink; as well as integral OpenTelemetry collection in internal Python MCP libraries
Development of a Kubernetes controller reconciling cluster-external resources as an initial component of an ML Platform Control Plane
Full-stack support and extension of experiment-tracking and hyperparameter-tuning services as components of an ML platform
2023 — 2023
Attended a self-guided educational retreat for programmers, with focus areas including:
deep learning and basic fine-tuning of AI models via the Fast.AI course, supported by web scraping via Jupyter to assemble a custom dataset and Python package management to execute models locally on M1 Macs via the Metal Performance Shaders framework
the Rust programming language
Reading Designing Data Intensive Applications with a discussion group
2021 — 2023
New York, New York, United States
Refactored core AI-driven metrics computation functionality from Pandas PoC to complex Postgres query-generation to ”bring computation to the data”
Refactored complex interlocked NLP-powered enrichment service chain to single ”enrichment service” to precache metrics for 1000x speedup for users
Built extensible downstream score sync service to support mulitple API destinations
Updated in-house Python ML dependency management to run locally on ARM64 M1 Macs
Simple full-stack React work to support full-stack feature implementation and Typescript migration
2019 — 2021
New York, New York
Migrating and building functionality from a Django monolith hosted on Rancher to scalable Scala & Kotlin microservices hosted on Kubernetes
Piloting implementation of Scala and Kotlin Kafka event-driven microservices
Serving in developer on-call rotation to resolve production incidents
Picking up React/Redux and extending Django to deliver high-priority projects
2017 — 2018
New York, New York
Built and extended features and ticket-provider API integrations for a leading theater ticket app's backend RESTful API and internal line-of-business applications
Architected and began extraction of monolithic Groovy/Grails services to Go/ Kubernetes microservices
Rapidly architected, implemented, loadtested, and launched new features enabling TodayTix to land lottery deal for 2018's biggest show, Harry Potter
Systematically investigated usage of and deprecated V1 API components in order to eliminate vast quantities of legacy code and enable faster bugfixes and implementation of new features
Maintained and modernized Ansible deployment tooling
Education
Carnegie Mellon University