
Ronald Hung
@ronaldhung
Senior software engineer at Meta who designed the Dreaming Worker pipeline for structured AI insights from uploaded content.
What I'm looking for
At Meta, I designed and implemented the Dreaming Worker pipeline, which analyzes uploaded audio, PDFs, and other content to generate structured “Moments” and “Dreams.” I built its multi-tenant ingestion system and RAG pipelines, cutting knowledge-base query latency by half.
At Expel, I developed document intelligence and financial analysis workflows, including legal and financial Q&A, and helped scale backend systems supporting 20,000 daily active users. Earlier, I supported machine-learning and data pipeline development at Citi and UBS, and backend services at Mercury Systems.
Experience
Work history, roles, and key accomplishments
Designed and implemented the Dreaming Worker pipeline for multi-tenant content ingestion and LLM-powered workflows. Built scalable RAG pipelines and production APIs, improving data insight generation and reducing latency for thousands of daily users.
Built full-stack software and machine-learning workflows using FastAPI, BERT, and ETL pipelines for financial analysis and document intelligence. Scaled distributed backend systems supporting 20,000 daily active users, improving latency and throughput by 20-40%.
Supported ML engineering and data pipeline development for research analytics and document indexing workflows. Built AWS-based ETL workflows and RESTful APIs, reducing processing time and improving data accuracy.
Supported development of machine learning workflows in distributed containerized environments. Built anomaly detection models for helicopter telemetry analysis and developed responsive frontend components and backend services.
Supported development of scalable backend services in Java and Python, integrating VMware vSphere, ESXi, and vCenter APIs. Developed RESTful and gRPC APIs with Node.js and optimized ETL processes.
Education
Degrees, certifications, and relevant coursework
AWS
AWS Certified Machine Learning - Specialty, Machine Learning
AWS Certified Machine Learning - Specialty certification.
TensorFlow
TensorFlow Developer Certificate, TensorFlow
TensorFlow Developer Certificate.
DeepLearning.AI
LangChain for LLM Application Development, LangChain
LangChain for LLM Application Development course.
Coursera / Google Cloud
MLOps Specialization, MLOps
MLOps Specialization course.
Hugging Face
Transformers Course, Transformers
Transformers Course.
Fordham University
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from Fordham University, completed in 2018.
Tech stack
Software and tools used professionally
Snowflake
Selenium
D3.js
Microsoft Azure
Google Cloud Platform
Kubernetes
AWS CodePipeline
GitHub Actions
Pandas
MySQL
PostgreSQL
MongoDB
Node.js
Django
Terraform
React
AngularJS
JavaScript
Python
HTML5
Java
MATLAB
TensorFlow
PyTorch
scikit-learn
Keras
Kubeflow
Flask
FastAPI
Grafana
Prometheus
Transformers
Linux
Azure Active Directory
gRPC
Elasticsearch
OpenSearch
Azure Functions
TypeScript
pytest
Docker
VMware vSphere
SQL
VMware ESXi
Azure Blob Storage
Hugging Face
LangChain
Trivy
TiDB
GitHub Copilot
Bash
SeaweedFS
AWS
Google Gemini
REST APIs
Availability
Location
Authorized to work in
Salary expectations
Social media
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