Work

• Jul 2024 - present
  314e Corp (Veritable)
  Engineering Lead

  I’ve had the opportunity to build Veritable from the ground up, managing the full lifecycle from early product planning through to delivery and day-to-day operations, all while leading a close-knit team of 4-5 engineers.

  In the early days, we focused on core capabilities—adding eligibility and claim status checks that could support thousands of payers, handling complex legacy X12 to FHIR conversions, and building out heavy batch processing features. We also shipped a code explorer to make code searches easier. Additionally, I put together a self-serve sign-up system for seamless user onboarding using a Kubernetes operator and Quarkus; because onboarding inherently involves payments, I ensured that our payment and notification flows were strictly idempotent.

  Over the last year, my focus has shifted toward enterprise needs. I’ve been building out an accounts receivable billing system with a heavy emphasis on data consistency. Alongside that, I set up deep AR analytics using Superset, making sure we track every event accurately through a modern data stack running on Kafka, Spark, Iceberg, and StarRocks.

• Oct 2022 - Jun 2024
  314e Corp (Practifly)
  Senior Software Engineer

  For this project, I led the backend development of a new digital healthcare marketing platform. We built a highly available, scalable architecture using FastAPI, PostgreSQL, and Kubernetes.

  A big part of my day-to-day was bridging the gap between engineering, product, and marketing to figure out exactly what we needed to build. I mentored a pod of three engineers to help us ship faster, and together we built robust data pipelines that gave the marketing team much better visibility into their metrics, eventually helping to boost campaign ROI by 18%.

• Nov 2020 - Sept 2022
  314e Corp (Muspell HDP)
  Data Engineer

  When I moved into a Data Engineering role, my main goal was to make our big data workflows faster and more cost-effective. By digging into our Spark jobs to fine-tune SQL queries and optimize our cluster configurations, I managed to cut our Azure data costs by about 20%.

  Beyond that, I wrote custom Java functions for Spark to handle tricky operations at scale—things like data decryption, parsing DICOM medical images, and converting healthcare data from FHIR back to HL7 for cloud EHR ingestion. It was also a great opportunity to mentor junior engineers and share those best practices across the team.

• Jul 2019 - Oct 2020
  314e Corp (Jeeves)
  Software Engineer

  My journey at the company started on our streaming platform. I was responsible for building APIs that could ingest and process media files using FFmpeg, getting them ready for smooth streaming. To help users actually find what they were looking for, I revamped our search experience—using Google Speech-to-Text to automatically transcribe media, and indexing all of that content into Elasticsearch for instant, full-text searches.