walid abu al-afia
Building the systems
behind the science.
Computational Engineer II
St. Jude Children's Research Hospital
I build and operate AI infrastructure that turns research intent into running pipelines. Production MCP servers, agent harnesses, and the HPC systems behind them.
Memphis, TN From Amman, Jordan M.S. student, UT Austin
The whole stack.
From cluster compute to research pipelines, connected by an agent harness and production MCP servers.
A little perspective.
Infrastructure at St. JudeCPU Cores
GPUs
Cluster Environments
Data Migrated
Always building.
The full story ↗Right now
Current rolesAlong the way
MilestonesExperience
Work history
Select a role to read more- Architected and leads Pipeline Skill Zoo, taking an MCP automation platform from proof of concept to production. Owns daily iteration and new pipeline servers for natural-language execution of research pipelines on LSF/Slurm clusters
- Converted research pipelines into dedicated MCP servers; built shared servers for job submission, filesystem access, and cluster interaction, plus the agent harness for sessions, tool routing, and auditable execution
- Serves as the departmental subject-matter expert for AI Agents in Research Information Services; piloted secure adoption across all HPC clusters and leads seminars on AI Agents, MCP, and Skills
- Architected a 20,000-line MLOps Python package for iterative low-code/no-code model training, with Jupyter documentation spanning preprocessing through deployment
- Designed Prometheus/Grafana observability across CPU, GPU, and Slurm job-level metrics, with intelligent alerting connecting anomaly detection to remediation
- Founding member of the team that established the SCCE (GDPR-compliant) and Slurm HPC Model Training clusters; expanded Open OnDemand across 4 environments
- Sole resource for 28 CryoSPARC instances; built an on-the-fly cryo-EM/ET processing pipeline
- Migrated 45 PB of cryo-EM/ET data to dedicated Imaging Storage over 8 months, within the 11 months preceding September 2026
- Transformed module installation system from bare-metal to container-based builds
- Manages internship program, reviewing 300-500 applications yearly
- Conducts interviews and coordinates hiring of 15 interns annually
- Mentors interns throughout the summer program
- Established intern-to-full-time pipeline creating career tracks for permanent positions
- Built and deployed Open OnDemand instance serving 20,000+ core cluster
- Authored multiple Interactive Applications (Maestro, VMD, Scipion)
- Automated software and module installations across RHEL7/RHEL8
- Organized and taught seminars on HPC programming tools
- Optimized parallel programs (MPI, OpenMP, CUDA) for researchers
- Built Prometheus + Grafana metrics collection environment
- Designed cluster monitoring dashboards for resource utilization insights
- Performed routine module installations on RHEL7 HPC Cluster
- Gained proficiency in LSF workload manager administration
- Developed VR application using Unity + Meta SDK for pediatric patient training
- Built REST API for AlphaFold-based protein structure prediction
- Compiled deployment documentation for HPC engineering team
- CS Head Tutor: hired, trained, managed 9 tutors; built TutoringBot queue system
- CS Tutor: tutored ~20 students in Python, Java, C, data structures, algorithms
- Cloud Application Student Administrator (May 2022 – May 2023): administered a JupyterHub Kubernetes cluster on GCP, including user provisioning, scaling, and OneLogin SSO for secure campus-wide access
- Investigated human-robot interaction (HRI) and explainable AI (XAI) in collaboration with the University of North Texas and Oregon State University
- Designed an augmented reality application in Unity and accompanying user tasks to explain how robots navigate using laser scans and camera fields of view
- Conducted a user study investigating privacy in interactions with telepresence and laser-equipped robots
- Contributed to research used to inform lawmakers considering legislation on robots in public spaces
- Served as an investigator on research targeting WeRobot 2021 (Miami) and contributed as an author to a paper targeting the International Conference on Social Robotics 2022
- Created Bitcoin trading bot with live price data and technical indicators
- Integrated cryptocurrency exchange APIs for automated trading
- Developed data processing pipelines in Python and Java
Skills & Technologies
Technologies
Technical expertiseAI infrastructure & automation
HPC & platforms
Observability
Languages & tools
Professional development
Languages
CommunicationCertifications
Professional developmentNVIDIA Certified Associate
AI Infrastructure and Operations
June 2025Focus Areas
Engineering practiceEducation
A foundation for what comes next.
EducationSelected coursework
Computer scienceUT Austin · Graduate
Rhodes College · Undergraduate
Awards & Honors
Along the wayResearch
Publication Record
Peer-reviewed workDevelopment and Evaluation of Exploratory Experiences to Facilitate Reasoning About Robotic Systems
Research Keywords
Areas of explorationResearch profile
IEEE XploreProjects
Selected projects
Tools built for researchPipeline Skill Zoo
Production MCP servers turn research pipelines into tools an AI agent can run on LSF/Slurm. I built and own the platform from proof of concept through daily operation: dedicated pipeline servers, shared job and filesystem tools, and an agent harness for sessions, tool routing, and auditable execution.
MLOps Toolkit
20,000-line Python package for iterative, low-code/no-code ML model training. Jupyter documentation guides researchers through preprocessing, training, and deployment.
HPC Monitoring
Prometheus and Grafana observability across CPU, GPU, and Slurm job-level metrics, with intelligent alerting that connects anomaly detection to remediation.
Open OnDemand
Open OnDemand deployment spanning 4 cluster environments with LSF and Slurm support
CryoSPARC Fleet
Operate 28 CryoSPARC instances and an on-the-fly cryo-EM/ET processing pipeline for structural biology research.
VR Patient Training
Unity + Meta SDK VR application for pediatric radiation oncology patient preparation
AlphaFold API
REST API endpoint for AlphaFold-based protein structure prediction on HPC
More on GitHub
github.com/walidabualafiagithub.com/walidabualafia
Distributed systems, HPC tools, system-level programming, and more
View RepositoriesContact
Get in touch
Email & elsewhereResume
Experience at a glanceWalid Abu Al-Afia
AI infrastructure & automation · PDF
Location
Based in MemphisMemphis, TN
Open to relocation
Originally from Amman, Jordan