kh%

I. Core Framework​

• Challenge-driven Software Engineer focused on building efficient, secure, and automated infrastructure.
• A decade of engineering experience, including seven years in remote work and managing distributed teams.
• Committed to mentoring junior engineers and fostering technical excellence.
• Endlessly curious and driven to learn, improve, innovate, and, of course, utilize Oxford commas.

II. Tech Stack​

🛠️   Datascience, ML, & Software Dev​

FastAPI, Flask, Node.js, REST APIs, Protocol Buffers (Protobuf), MKDocs, Docusaurus, Git, JetBrains, neovim, VSCode, hex.tech, Notebooks (eg juypter, sagemaker, hex, etc), MLFlow, Milvus, SOC2 Compliance, Pandas, NumPy, Weights & Biases, Label Studio, Apache Spark

🖥️   MLOps & DevOps​

Docker/containerd, Kubernetes, Kubeflow, K9s, Grafana, K6, Prometheus, OpenTelemetry, Data Version Control (DVC), GitHub Actions

☁   Cloud​

AWS: S3, Glue, Athena, Kinesis, Lake Formation, RDS, DynamoDB, CDK/CloudFormation, Lambda, Firehose, SageMaker

📡   Other​

Linux, Embedded Systems, IoT, Sensors & Motion Controls, Game/Graphics Dev (Unity, Three.js)

III. Professional Experience​

Senior Software Engineer, ML Ops   DUST Identity ⫻ Q2 2022 to Q1 2025

Pioneered the development of scalable, back-end services and their supporting infrastructure for DUST's Core ML products and the Big Data Pipelines that supported them.

ML Ops & Data Science 📈​

• Advocated for the establishment and formalization of ML Ops as a discipline within the company, emphasizing the need for scalable infrastructure, automation, data governance, and best practices in machine learning operations.
• Led cross-functional collaboration, driving project timelines, aligning stakeholders, and ensuring effective integration between the Algorithm, DevOps, Back-end, and Product teams.
• Designed and implemented a scalable data lakehouse architecture, optimizing data ingestion, storage, and governance for ML and analytics workflows.
• Built and maintained Algorithm R&D environments and deployment pipelines, integrating cutting-edge models into production through a staged validation and release process.
• Led the development of an internal API that efficiently facilitated ML experimentation and forensic investigations.
• Instrumented observability and telemetry tooling for algorithm and ML-serving products, enabling real-time visibility, anomaly detection, and debugging.

Back-end Engineering 🖥️​

• Developed high-performance microservices using Protobuf for time-critical serialization and communication across distributed systems.
• Back-end design and optimization of a Delivery API for our Core Algorithms as a Service, ensuring efficient and RESTful interactions between ML services and external clients.
• Contributed persona research and business development efforts for SaaS products, aligning product direction with stakeholder needs, and driving UX and design decisions for potential SaaS-based clients.

Senior Software Engineer   AMA (NASA contractor) ⫻ Q4 2021 to Q2 2022

Contributed to flight-simulation engines for broadcast packages, mission-critical telemetry framework for the next-gen lunar rover, and open-source geospatial data solutions for a global collaborative citizen science effort.

NASA Artemis I Mission 🚀​

• Developed a telemetry acquisition system for the Artemis Real-time Orbit Website (AROW) which ingested live telemetry from Mission Control in Houston for the mission's broadcast package.
• Built the telemetry reporting bot for NASA’s official Twitter account, automating real-time mission updates throughout the mission's flight.

NASA VIPER Lunar Rover Mission 🐍​

• Consulted on the architecture and design of a live telemetry delivery system for NASA’s next-gen lunar rover, ensuring efficient and reliable data transmission.

OpenDataCube (NASA+CEOS Working Group) 🌎​

• Introduced source control management (SCM), documentation best practices, and modern software development methodologies to a newly formed software team.
• Developed deployment pipelines leveraging container virtualization to streamline client distribution and support CI/CD tasks for cloud applications on AWS and Microsoft Azure.
• Designed and implemented a RESTful API for a PostgreSQL database using FastAPI and SQLAlchemy ORM, facilitating advanced GIS analysis.
• Rapidly prototyped web application MVPs with React to enhance geospatial data accessibility.

Software Engineer III   Driveline Baseball ⫻ Q2 2018 to Q4 2021

Back-end Development​

• Designed and implemented an agile project management system for a distributed engineering team
• Implemented a pipeline that brought several data science and analytics prototypes to market
• Implemented a CI/CD stack and QA System to support internal tools and infrastructure
• Developed and implemented a prototype-to-product pipeline that optimized throughput from our Analyst’s insights to consumer products

ML Ops & Data Science ⚾​

• Coached and mentored Junior Data Scientists and Analysts on Software Engineering best practices
• Provided educational opportunities, workshops, and an internal documentation suite for the company
• Implemented development processes, standards, & guidelines for our Data Science & Analytics team
• Managed alpha, beta, and consumer-level testing and validation operations

Product R&D​

• End-to-end product design of a “Velocity-Based Training Device'' for use in Professional Sports
• Implemented sensors and features that measure the speed & direction (vector) of weights during strength training

Science & Technology Streamer   Twitch.tv - @bun9000 ⫻ Q3 2017 to Q1 2025

Live-coding "Edutainer" 👩‍💻​

• collaborative environment
• managing distractions
• self-led many projects
• pushed boundaries of my capabilities and learned lots of new technologies

Software Engineering Intern   Dialexa Labs ⫻ Q2 2015 to Q3 2015

• Designed and developed a tool for ingesting, parsing ODB-II diagnostic data from manufacturer databases
• Assisted in assembly, PCB/device testing, and calibration of smart, ODB-II devices.

Engineering Research Assistant   University of Texas at Arlington ⫻ Q1 2014 to Q2 2017

Contributed to the prototype, assembly, and software of a range of research biomedical, aerospace, consumer electronics, and IoT products.

Printer Assembly Technician   PolyPrinter 3D Printers ⫻ Q4 2015 to Q1 2016

• Printer assembly, testing, and repair
• Helped achieve higher efficiency in manufacturing

IV. Accomplishments​

• Microsoft MVP (Python) - 2019, 2020, and 2021
• DEF CON Hack-A-Sat Finalist - Team ADDVulcan, 2020
• GitKraken Ambassador - 2019, 2020

V. Traditional Education​

The University of Texas At Arlington - Electrical Engineering