Open to opportunities

Owen User

@owenuser4

AI and full-stack software engineer building production platforms for trustworthy ML, voice agents, and real-time network anomaly detection.

United States

Message

What I'm looking for

I’m looking to build end-to-end AI-enabled products—trusted ML workflows, governance-minded systems, and voice/retrieval experiences—where I can own production engineering, observability, and CI/CD, and collaborate closely with security and platform teams.

I’m an AI and full-stack software engineer with 8+ years of experience building production software platforms spanning AI applications, ML platforms, network intelligence, cloud infrastructure, and research-driven computer vision. At Comcast, I built AI-enabled internal engineering and security applications around Project GuardRail, including intake-to-approval workflows, audit trails, and risk assessment using React, Next.js, FastAPI, GraphQL, and PostgreSQL/Redis.

I also integrated Azure OpenAI GPT-4o for summarization, classification, and structured extraction with JSON schema validation and fallback handling, and I built an internal AI voice agent using Twilio Voice, Deepgram STT, Azure Speech TTS, FastAPI, WebSockets, and OpenSearch for retrieval-grounded, conversational answers and escalation flows. Previously, I led AMP’s ML platform work, orchestrating model training and batch inference with Airflow/Spark/Kafka and tracking experiments with MLflow—backed by strong observability, RBAC, PII-safe logging, and CI/CD ownership.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Comcast

Mar 2022 - Present (4 years 3 months)

Built AI-enabled internal engineering and security applications for Project GuardRail using Java, Python, Go, React/Next.js, FastAPI, GraphQL, and PostgreSQL/Redis. Developed GraphQL/React dashboards, Azure OpenAI GPT-4o workflows, and an OpenSearch-backed AI voice agent with Twilio Voice and Deepgram.

Java Python Go React Next.js fastAPI GraphQL GPT 4o OpenSearch Twilio

Senior ML Software Engineer

Comcast

Jan 2019 - Mar 2022 (3 years 2 months)

Led development of AMP, Comcast’s internal ML application platform, delivering ML workflow services, REST APIs, and React interfaces. Built Airflow and Spark pipelines for training, batch inference, and evaluation; integrated MLflow for experiment/model tracking and Kafka for ingesting operational signals.

Python Flask React Apache Airflow Apache Spark MLFlow Kafka PostgreSQL Redis Jenkins

Computer Vision Research Assistant

Dr. Richard Souvenir Research Group

Dec 2016 - Feb 2020 (3 years 2 months)

Built computer vision and ML research pipelines to study human driving behavior and the effects of low autonomous-vehicle penetration in mixed traffic. Implemented vehicle detection/tracking and feature extraction workflows to evaluate how different adoption levels impact traffic flow, safety behavior, and congestion.

Python OpenCV scikit learn NumPy Pandas Jupyter

Machine Learning Engineer

Comcast

May 2017 - Dec 2018 (1 year 7 months)

Developed a real-time network anomaly detection ML application using IP SLA probe data to identify abnormal packet loss between data centers and Cloud-RAN. Created scalable anomaly-detection pipelines with time-series feature engineering and exposed alerts/metrics via APIs and dashboards for network operations teams.