Hey there, I'm David! 👋😎
I'm currently completing an M.S. in Computer Science at UT Austin, expected December 2026, with thesis research in ML systems and applied AI for autonomous scientific control.
GAMMA Lab | The University of Texas at Austin
Machine Learning Researcher | January 2026 โ Present
ML Systems, Applied AI, Model Evaluation, PyTorch, Hugging Face, PEFT/LoRA
M.S. thesis research on compact language-model controllers for autonomous scientific
instrumentation using Gemma, PyTorch, Hugging Face Transformers, PEFT/LoRA,
SFT/RFT, MCP tools, computer vision, and controlled evaluation against numerical baselines.
Presented this work as a first-author poster and lightning talk at TACCSTER 2026,
where it received a Best Poster award.
View thesis project
Dell Medical School โ The University of Texas at Austin
Research Engineer, Part-time | January 2026 โ Present
BigQuery, SQL, OMOP CDM, Healthcare Analytics
Built source-to-OMOP mapping logic and BigQuery SQL for 29 pediatric emergency-care
quality measures, translating clinical specifications into cohort, temporal,
and numerator/denominator rules for implementation.
BMO Capital Markets
Artificial Intelligence Engineer, Contract | September 2025 โ April 2026
Python, RAG, LangGraph, Langfuse, Agentic AI
Built and productionized an agentic data-governance platform with a RAG-enabled
LLM router orchestrating 14 specialized tools and LLM-assisted workflows for profiling,
classification, SQL translation, metadata, and data quality using LangGraph and Langfuse.
Xanthus Security
Software Engineering Consultant | June 2025 โ August 2025
Python, AWS Bedrock, OpenAI API, RAG, OSINT
Built an AWS Bedrock RAG/OSINT platform integrating external security-intelligence
sources to generate PlexTrac-ready security reports.
Spectral Tech AI
Machine Learning Engineer, Contract | July 2024 โ May 2025
PyTorch, PyTorch Lightning, Azure ML, Computer Vision, NVIDIA Jetson
Owned software delivery for semantic-segmentation inference in a multispectral
eye-imaging product supporting clinical studies for an FDA submission, including
model export/optimization and offline-safe inference and OTA services across a
500+ unit NVIDIA Jetson Orin Nano fleet. Built training/evaluation pipelines,
Azure ML workflows, and fleet observability.
CIBC
Senior Software Engineer, Contract | November 2024 โ April 2025
Python, FastAPI, LLMs, RAG, RAGAS, Azure OpenAI
Joined as one of two initial contract engineers and helped take CIBC AI,
the bank's internal conversational-AI platform, from zero to company-wide launch
for 35,000+ eligible employees. Built FastAPI services, persistent chat, RAG,
RBAC, and PII controls, and designed a RAGAS faithfulness-evaluation harness
and API-latency tests.
Royal Bank of Canada
Senior Software Engineer | May 2023 โ May 2024
Azure, AWS, GCP, Cloud Infrastructure, LLM Systems
Built a production multi-cloud resource-discovery and security-policy monitoring
platform across Azure, AWS, and GCP, delivering inventory, alerts, and dashboards
to cloud-security architects across RBC and subsidiaries. Also built a production
LLM-based advisory pipeline that summarized relevant cloud-security updates for architects.
Just Web Agency
Software Engineer | August 2021 โ February 2023
Python, FastAPI, PostgreSQL, React, TypeScript
Built backend services, scraping and lead-ingestion systems, and client-facing B2B dashboards.
Previous software engineering and internship experience includes FINTRAC, Cisco, Microsoft/Nuance Communications, Coveo, and the Canadian Food Inspection Agency, spanning backend services, data systems, cloud infrastructure, developer tooling, and NLP-related software.
I also served as a Teaching Assistant at Carleton University for Data Structures & Algorithms and Discrete Mathematics.
Microsoft Certified: Azure AI Engineer Associate
Earned 2025 ยท Expired April 2026
AWS Certified Cloud Practitioner
I'm interested in U.S. full-time opportunities starting in early 2027 across Machine Learning Engineering, ML Systems / Infrastructure, Applied AI / LLM Systems, ML Platform / MLOps, Model Evaluation / Serving / Inference, and Backend / Platform Software Engineering on AI/ML teams . I'm available now for recruiter conversations and open to remote, hybrid, and relocation opportunities across the U.S. for the right role, with particular interest in Seattle, Boston, and Austin / Texas. Please feel free to reach out! 😊