Walid Abu Al-Afia

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

Connected by design

The whole stack.

From cluster compute to research pipelines, connected by an agent harness and production MCP servers.

~/stack/compute

HPC and scientific computing across six cluster environments.

explore experience

A little perspective.

Infrastructure at St. Jude

CPU Cores

55,000+ across 6 clusters

GPUs

2,500+ managed & allocated

Cluster Environments

6 HPC & SCCE clusters

Data Migrated

45 PB cryo-EM/ET data · over 8 months

Always building.

The full story ↗

Right now

Current roles
Current Computational Engineer II St. Jude Children's Research Hospital May 2024 – Present
Current IS Internship Coordinator St. Jude Children's Research Hospital May 2023 – Present
Current M.S. Computer Science UT Austin Aug 2025 – Dec 2028 (expected)

Along the way

Milestones
2025–26 Migrated 45 PB of imaging data over 8 months, within the 11 months to September 2026
2026 St. Jude Living Our Values Honoree
2025 / 08 Started M.S. Computer Science at UT Austin
2025 / 06 NVIDIA Certified Associate: AI Infrastructure & Operations
2024 / 05 Started Computational Engineer II role
2023 / 10 Published at IEEE/RSJ IROS 2023
2023 / 05 Promoted to Computational Engineer I
2023 / 05 Graduated Rhodes College — Magna Cum Laude
2022 / 09 Started HPC Engineering Student role at St. Jude
2022 / 06 HPC Research Computing Intern at St. Jude
Good things start with a conversation.Let’s connect.

Experience

A career in computing

Work history

Select a role to read more
JOBID Organization Role Status Dates NODES
Highlights
  • 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
Highlights
  • 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
Highlights
  • 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
Highlights
  • 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
Highlights
  • 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
Highlights
  • 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
Highlights
  • 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
Highlights
  • 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

Technical expertise

Technologies

Technical expertise

AI infrastructure & automation

MCP (Model Context Protocol)Agent harness designLLM orchestrationSessions & tool routingPipeline executionREST APIsMLOps

HPC & platforms

LSFSlurmOpen OnDemandGPU computingMPIOpenMPCUDAKubernetesApptainer / SingularityGoogle CloudSCCE / GDPR

Observability

PrometheusGrafanaCPU / GPU / job metricsAnomaly detectionIntelligent alerting

Languages & tools

PythonC/C++JavaGoRustBashGitJupyter

Professional development

Red Hat Ansible Automation · self-study

Languages

Communication
EnglishNative
ArabicNative
FrenchWorking proficiency
SpanishWorking proficiency

Certifications

Professional development

NVIDIA Certified Associate

AI Infrastructure and Operations

June 2025

Focus Areas

Engineering practice
Production AI Infrastructure Agent Harnesses & MCP Servers Research Pipeline Automation Observability & Remediation Distributed Systems Scientific Computing

Education

Learning & discovery

A foundation for what comes next.

Education
Aug 2025 M.S. Computer ScienceGPA 4.0
The University of Texas at Austin — M.S. Computer Science (Expected Dec 2028)
Coursework: Parallel Systems, Deep Learning, Advanced Deep Generative Models, Distributed Systems
May 2023 B.S. Computer ScienceGPA 3.87, Magna Cum Laude
Rhodes College — B.S. Computer Science, Minor: Religious Studies (2019 – 2023)
May 2019 High School DiplomaGPA 3.86
King's Academy, Manja-Madaba, Jordan — High School Diploma
Apr 2016 Scotch College, Perth (Australia)
Round Square Program Global Cultural Exchange — Study Abroad

Selected coursework

Computer science

UT Austin · Graduate

parallel systemsdeep learningadvanced deep generative modelsdistributed systems

Rhodes College · Undergraduate

parallel systemsdistributed systemsoperating systemsartificial intelligenceautomata theorycomputer organizationprogramming languagesdata structures algorithms

Awards & Honors

Along the way
★ St. Jude Living Our Values 2026 Honoree
★ Magna Cum Laude
★ Upsilon Pi Epsilon (CS Honor Society)
★ Theta Alpha Kappa
★ Joseph Reeves Hyde Award
★ Jack U. Russell Award
★ Presidential Scholar
★ Dean's List
★ Student Body President (King's Academy)
★ President's Award for Outstanding Leadership

Research

Publications & Data Analysis

Publication Record

Peer-reviewed work
IEEE/RSJ IROS 2023 • Detroit, MI, USA

Development and Evaluation of Exploratory Experiences to Facilitate Reasoning About Robotic Systems

S. Balali, M. Hudspeth, I. Afflerbach, H. Helgesen, J. McCurry, W. Abu Al-Afia et al.

Abstract This paper introduces a novel interactive approach — Exploratory Experiences — that aims to improve the ability of people to reason about the capabilities and limitations of robotic technology. We focus on two areas: robot navigation and object detection. We evaluate the Exploratory Experiences with a novel approach that measures the participant's ability to predict when the robot will fail.
DOI: 10.1109/IROS55552.2023.10342409 pp. 4107-4114
Read the paper

Research Keywords

Areas of exploration
Human-Robot Interaction Navigation Object Detection Explainable AI Atmospheric Measurements Cognition Intelligent Robots

Research profile

IEEE Xplore
Elsewhere

ieeexplore.ieee.org/document/10342409

Read Full Paper

Projects

Selected engineering work

Selected projects

Tools built for research
In production

Pipeline 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.

PythonMCPAgent harnessLSF / Slurm
Engineering

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.

PythonMLOpsJupyter
Engineering

HPC Monitoring

Prometheus and Grafana observability across CPU, GPU, and Slurm job-level metrics, with intelligent alerting that connects anomaly detection to remediation.

PrometheusGrafanaSlurm
Engineering

Open OnDemand

Open OnDemand deployment spanning 4 cluster environments with LSF and Slurm support

RubyOpen OnDemandHPC
Engineering

CryoSPARC Fleet

Operate 28 CryoSPARC instances and an on-the-fly cryo-EM/ET processing pipeline for structural biology research.

CryoSPARCCryo-EMPipeline
Archived

VR Patient Training

Unity + Meta SDK VR application for pediatric radiation oncology patient preparation

UnityC#VR
Archived

AlphaFold API

REST API endpoint for AlphaFold-based protein structure prediction on HPC

PythonRESTAlphaFold

More on GitHub

github.com/walidabualafia
Elsewhere

github.com/walidabualafia

Distributed systems, HPC tools, system-level programming, and more

View Repositories

Contact

Start a conversation

Resume

Experience at a glance

Walid Abu Al-Afia

AI infrastructure & automation · PDF

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Location

Based in Memphis

Memphis, TN

Open to relocation

Originally from Amman, Jordan