Richard Brawley
@richardbrawley
I am an accomplished AI/ML software engineer specializing in LLMs and scalable systems.
What I'm looking for
I am an accomplished software engineer with 11+ years leading full-stack AI/ML development across startup and enterprise environments.
I architect and deploy large-scale NLP, LLM, and computer vision systems on AWS, GCP, and Azure using modern DevOps practices like Docker, Kubernetes, and CI/CD.
I specialize in LLM orchestration and multi-agent architectures using LangChain and LangGraph, and have built products that achieved sub-second and sub-300ms response times while sustaining 99.9% uptime and strong production reliability.
I translate complex requirements into scalable technical architectures, mentor engineering teams, and deliver secure, HIPAA-compliant healthcare solutions with high accuracy and low-latency inference.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Houston Mechatronics
May 2015 - Feb 2016 (9 months)
Developed image-analysis prototypes and CNN models for diagnostic devices using MATLAB and TensorFlow, accelerating experimental analysis and reducing manual data preparation time to enable faster ML iteration.
Education
Degrees, certifications, and relevant coursework
Rice University
Master of Science, Computer Science
Master of Science in Computer Science from Rice University, awarded in 2015.
The University of Texas at Austin
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from The University of Texas at Austin, awarded in 2013.
Tech stack
Software and tools used professionally
Apache Spark
Google Cloud Storage
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Hadoop
Gmail
Node.js
Django
Databricks
OpenCV
Redis
Terraform
JavaScript
Java
MATLAB
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
NLTK
FastAPI
Grafana
Prometheus
GraphQL
gRPC
s3-lambda
Hugging Face
LangChain
Refine
ArgoCD
Availability
Location
Authorized to work in
Job categories
Skills
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