Deary Hudson
@dearyhudson1
Staff software engineer building production LLM platforms and scalable real-time AI pipelines that ship at Meta scale.
United StatesWhat I'm looking for
I’m a Staff Software Engineer with 11+ years of deep expertise in AI, real-time data pipelines, and cloud-native microservices at Meta and Netflix. I’m known for building production-grade LLM platforms, scaling infrastructure to 3B+ users, and leading engineering teams that consistently ship high-impact products on time and at scale.
At Meta, I led the architecture and launch of Your Algorithm, an AI-powered Reels personalization platform for 1B+ users, from online learning loops in Python to Llama-powered signals, and from Kafka event streaming to sub-10ms preference-vector read/write latency. I also owned real-time preference updates on Kubernetes with Terraform-managed multi-region infrastructure and built interactive React Native experiences. Earlier, I engineered high-performance backend services and data processing pipelines across Facebook and Instagram, and at Netflix I delivered streaming microservices, Kafka/Spark Streaming event processing, Cassandra clusters, and chaos engineering to ensure high availability during peak viewing.
Experience
Work history, roles, and key accomplishments
Led the architecture and launch of Your Algorithm, an AI-powered Reels personalization platform for 1B+ users with real-time customization and user transparency. Built Python/PyTorch feedback loops and LLM-based topic inference, plus Java/Kubernetes/Kafka event pipelines and Terraform-managed multi-region infrastructure to support continuous improvement at Meta scale.
Engineered high-performance backend services, building a GraphQL API federation layer that reduced average mobile client response times by 20% for 500M+ daily active users. Improved delivery reliability and speed across News Feed and Instagram through large-scale Spark/Hadoop pipelines, frontend redesign, and automated testing frameworks.
Developed Netflix’s streaming backend microservices on AWS (Java/Scala), supporting 15% YoY global subscriber growth, including video playback and adaptive bitrate/CDN optimization. Built real-time event processing with Kafka and Spark Streaming, improved resilience via chaos engineering, and reduced annual AWS spend by 10% through Kubernetes auto-scaling while maintaining 4K playback quality.
Education
Degrees, certifications, and relevant coursework
University of Houston
Bachelor of Science (B.S.), Computer Science
2010 - 2015
Bachelor of Science in Computer Science from the University of Houston from 2010 to 2015.
Tech stack
Software and tools used professionally
Apache Spark
GitHub
Kubernetes
Jenkins
CircleCI
GitHub Actions
React Native
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Node.js
Django
Spring Boot
Next.js
OpenCV
Redis
Terraform
JavaScript
Java
Kotlin
TensorFlow
PyTorch
Kafka
FastAPI
Gemini
GraphQL
Firebase
TestNG
OAuth2
Hudson
Time Analytics
Hugging Face
Supabase
Playwright
Refine
DeepSeek
Dynamic
Increase
ChatGPT
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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