Professional Experience — AI/LLM Platforms, ML Systems & Infrastructure

Dell Medical School — University of Texas at Austin (NPRQI)
(January 2026 – Present) – Research Engineer, Applied ML & Data Systems
Python, SQL, OMOP CDM, Clinical Data Pipelines
Building Python/SQL pipelines over large-scale Ascension Health pediatric emergency care data to support OMOP-based analytics and measure development for clinical research workflows.

Walker Department of Mechanical Engineering — University of Texas at Austin (GAMMA Lab)
(January 2026 – Present) – Graduate Researcher, LLM Systems
Python, SFT, RFT, LLM Agents, Scientific AI
Researching SFT and RFT for LLM-based scientific agents, building infrastructure for experiment state machines, evaluation, and controller experimentation in X-ray diffractometer workflows.

BMO Capital Markets (BMO Harris US)
(September 2025 – April 2026) – Application Software Engineer, AI/LLM Platform (Contract)
Python, LangChain, LangGraph, Langfuse, RAG, Enterprise Data Platforms
Architected an AI-assisted enterprise data governance platform for Capital Markets, consolidating data profiling, classification, SQL translation, and data quality functions into a shared self-service system, reducing manual effort.

Engineered a central RAG knowledge base for enterprise data and metadata use cases, implementing graph-based orchestration, prompt tracing, and evaluation over documentation and internal data assets. Built AI-enhanced tools for metadata reasoning, natural-language querying, and documentation generation, translating structured frontend inputs into backend Langfuse-tracked LLM requests.

Xanthus Security
(June 2025 – August 2025) – Software Engineering Consultant (Contract)
Python, AWS Bedrock, Shodan, IntelX, PlexTrac, RAG
Built a client-facing OSINT platform integrating Shodan and IntelX with an LLM-powered RAG pipeline on AWS Bedrock, delivering PlexTrac-ready reports for real-world security incident workflows.

AI Spectral
(July 2024 – May 2025) – Machine Learning Engineer (Contract)
Python, Docker, Unix Domain Sockets, NVIDIA Jetson Orin, Azure ML, PyTorch, MLflow, Prometheus, Loki, Grafana
Deployed medical computer vision models to 500+ Jetson Orin Nano edge devices, building secure OTA delivery and offline-safe inference services using Python, Docker, and Unix domain sockets for production edge deployments.

Designed distributed edge orchestration and ML training pipelines using PyTorch Lightning, AzureML, and MLflow, improving reliability and p95 latency by ~50% in resource-constrained edge environments. Owned observability for a distributed edge ML fleet using Prometheus, Loki, and Grafana, cutting response time by ~40%.

CIBC
(November 2024 – April 2025) – Senior Software Engineer (Contract)
Python, Azure OpenAI, RAG, RBAC, PII Redaction, Microsoft Teams
Developed a secure internal LLM assistant and scaled adoption from 5K to 35K+ employees by integrating persistent chat history and RAG over Risk, Legal, and Audit data with RBAC and PII redaction for enterprise knowledge access.

Created a Teams AI meeting agent POC with Azure OpenAI and Azure AI Speech custom lexicon, generating summaries and action items from meetings and reducing manual note-taking by 95% for internal users.

Royal Bank of Canada (City National Bank)
(May 2023 – May 2024) – Senior Software Engineer
Python, Azure, AWS, GCP, Azure Policy, HashiCorp Sentinel
Built a multi-cloud security exemption platform and automated creation, renewal, and expiry workflows using cloud-native SDKs and APIs across Azure, AWS, and GCP, standardizing evidence capture for yearly federal audits.

Shipped an AI-driven change monitor that ingested cloud and vendor advisories and mapped them to impacted controls and exemptions, cutting manual review for security architects. Delivered dashboards and alerts for expiries and drift, enforcing approval rules with Azure Policy and HashiCorp Sentinel.

FINTRAC (Financial Transactions and Reports Analysis Centre of Canada)
(January 2023 – May 2023) – Software Engineer
Java (Spring Boot), Vue.js, SQL Server, Apache Spark, Hadoop
Delivered backend services and bilingual (EN/FR) API components in a Top Secret environment. Engineered data pipelines in Spark and Hadoop to process 1M+ daily financial records.

Just Web Agency
(August 2021 – February 2023) – Software Engineer
React.js, Python, FastAPI, PostgreSQL, Docker, Kubernetes, AWS Rekognition, DigitalOcean
Designed and developed B2B lead-generation dashboards and scraping automation, increasing qualified lead volume by 200%. Built RESTful APIs using FastAPI and PostgreSQL to serve React-based client dashboards.

Internships

Cisco
(January 2023 - April 2023) - Software Engineer Intern
Go, Angular.js, Kubernetes, Apache Kafka, Jenkins, CockroachDB
Migrated cloud microservices built in Java + Spring Boot to Go with the MSX Networking Services team.

Microsoft - Nuance Communications
(September 2022 - December 2022) - Software Engineer Intern
Python, Azure, FastAPI, Pandas, NumPy, Tensorflow
Built an API for a topic modeling machine learning tool used department-wide (150+ people). Improved an NLU data augmentation tool by ~40% through fine-tuning pipelines.

Coveo
(May 2022 - August 2022) - Software Engineer Intern
Python, AWS, Elasticsearch, Kubernetes, Jenkins, Terraform, Snowflake, MySQL
Developed an access management tool used across engineering to improve developer self-service. Redesigned employee offboarding by implementing a soft-delete system adopted company-wide.

CFIA
(February 2022 - April 2022) - Software Engineer Intern
JavaScript, Selenium, SQL
Developed and automated tests ensuring SCORM packages correctly migrated to a new learning management system.

CFIA
(May 2021 - August 2021) - Software Engineer Intern
Python, Bash, SQL, Toad for Oracle, SQL Server, IBM InfoSphere
Automated ETL script migration processes, wrote operational reports, and documented workflows for future cohorts.

University Teaching Positions

COMP 2402 (September 2022 - December 2022)
Taught Data Structures and Algorithms (stacks, queues, lists, trees, graphs), hosted office hours, and graded assignments/exams.

COMP 2804 (January 2022 - April 2022)
Taught Discrete Mathematics II (predicate calculus, complexity, recurrences, graph theory) through tutorials and office hours, and graded coursework.

COMP 1805 (January 2021 - April 2021)
Taught Discrete Mathematics I (logic, proofs, set theory, automata) through tutorials and office hours, and graded coursework.

Contact Me

I’m currently seeking full-time roles in AI Engineering, ML Platform Engineering, Machine Learning Engineering, LLM Systems, AI Infrastructure, and Backend/Platform Engineering, particularly in regulated, high-scale, or performance-critical environments. Please feel free to reach out! 😊