Hi,
I’m Howard
Computational Data Science

Carnegie Mellon University

School of Computer Science

Master of Science in Computational Data Science

Pittsburgh, PA

University of California, San Diego

Halıcıoğlu Data Science Institute

Bachelor of Science in Data Science

San Diego, CA

San Diego Supercomputer Center

Software Engineer Intern - Cyberinfrastructure Enabled ML

San Diego, CA

• Developed bash and SLURM scripts to orchestrate distributed workloads for PyTorch, Spark, and Dask
• Automated YAML generation for K8s deployments for dynamic resource allocation based on resource usage
• Developed a pipeline for Docker to Singularity container conversion for CUDA dependent workloads
• Deployed GraphRAG on a HPC cluster, configured scalable API endpoints to handle 100,000s of LLM requests

Compex Systems Singapore

Software Engineer Intern - LLM Innovation

Singapore

• Implemented an internal RAG for support troubleshooting, adopted by 80% of support staff
• Setup schema design and management of PostgreSQL vector store with on-demand ETL injection of new data
• Served LLMs on Azure OpenAI with secure access controls and best practices for managing secrets/keys
• Fine-tuned recommendation systems on Salesforce ticketing resulting in 2 hours saved per data-sheet search

NXP Semiconductors

Machine Learning Engineer Intern - Power Reduction

San Diego, CA

• Deployed machine learning models on AWS Sagemaker and leveraged S3 for data retrieval and storage
• Utilized supervised learning techniques and unsupervised dimensionality reduction with scikit-learn and TensorFlow
• Developed an ETL pipeline to read and store data logs, increasing data collection speeds by 30%
• Facilitated efficient job distribution and simulations on Ansys PowerArtist and IBM LSF with shell/SLURM scripts