Connor Woods
AI infrastructure engineer experienced in owning platforms
& running production GenAI solutions
Welcome to my resume website. Below you will find more information about the skills and qualifications I can bring to your team. Please contact me via email or LinkedIn if you are actively hiring (side bar icons).
This site is built using various AWS technologies as a demonstration of knowledge. It is a simple HTML page (with CSS/JS) hosted in an S3 bucket and delivered via CloudFront from edge locations nearest the user. A custom domain is assigned to the distribution by attaching a TLS certification and configuring Route 53 DNS routing.
This site is version controlled in GitHub while being continuously integrated through Actions and SAM templates to automate deployment. It is also serverless, using a REST API Gateway to invoke Lambda functions for operations such as DynamoDB queries - this site has logged 0 visits.
Skills
Certifications
Projects
Personal resume website utilizing cloud technologies
- Constructed serverless SPA hosted in S3 using CloudFront, Route 53, SAM, Lambda, API Gateway, DynamoDB
- Implemented GitHub Actions as CI/CD pipeline to automate infrastructure deployment
- Secured application against top OWASP web threats by adding AWS WAF and ACLs
Mobile application "A Better Way" Senior capstone
- Collaborated with 4-person team to develop a mobile CRUD application to stakeholder specifications
- Determined best software solutions based on design choices and time/budget constraints
- Developed login/signup page and secure storage of users credentials
- Implemented authorization tokens and proper revocation for protected view pages
Work Experience
MLOps Infrastructure Specialist
June 2022 - present
London Stock Exchange Group (LSEG)
- Built and operated multi-cloud Kubernetes infrastructure spanning 6 clusters and a dozen production applications, powering customer-facing GenAI solutions on self-hosted inference with GPU compute & Weaviate vector database; 99%+ uptime under continuous, agile release cycles.
- Owned CI/CD delivery on GitLab with infrastructure-as-code, integrating secure code scanning, artifact storage, and secret management to automate model & application deployments.
- Reduced infrastructure spend by tens of thousands of dollars per month through right-sizing and Kubernetes Dynamic Resource Allocation (DRA) to raise GPU and compute utilization.
- Delivered platform capabilities within a highly regulated environment: deployment approval gates via evaluation sets, auditable logs from resources through CloudWatch and Prometheus/Grafana/Loki, and access controls using Microsoft Entra and workload/pod identity.
- Partnered with data scientists and engineering teams to translate business use cases into infrastructure solutions, accelerating AI/ML adoption across LSEG business units.
Research assistant - Machine learning
Aug 2019 - May 2020
University of Tennessee at Chattanooga
- Analyzed malware using machine learning techniques to determine anomalous execution
- Used fuzzing techniques to find vulnerable states in proprietary network protocols
- Interpreted technical and research writing to formulate educational labs
Research assistant - Blockchain
Aug 2018 - May 2019
University of Tennessee at Chattanooga
- Researched blockchain as a security and data assurance technology for upcoming research
- Worked with other researchers to develop & test applications running on public blockchains
Education
University of Tennessee at Chattanooga
Bachelor of Science: Computer Science
May 2020