SUBJECT PROFILE
Biographical & Research Data
SUBJECT: Justin Largo
CLASSIFICATION: Senior Research Engineer
Well-rounded software engineer specializing in full-stack web applications and cross-platform deployments. Primary research areas include automated systems, AI integration, and distributed architectures. Current tech stack: Python, Java, JavaScript/TypeScript with Django, FastAPI, and Next.js frameworks.
Experience Metrics
Research Timeline
RESEARCH PERIOD #6
QA/Test Developer @ IBM, Durham, NC (10/2024 - Present)
Developed automation of previously manual regression tests using Galasa, Ansible, and Jenkins, boosting tester productivity and lowering testing costs by 88%. Engineered a Django + HTMX + Tailwind dashboard to aggregate and visualize z/OSMF API data. Authored an inner-sourced Python wrapper for IBM's z Workload Scheduler. Promoted enterprise-wide AI adoption by creating use cases for Watsonx Code Assistant.
RESEARCH PERIOD #5
Technical Architect @ IBM, Durham, NC (12/2023 - 10/2024)
Spearheaded development and integration of AskiCDNet for IBM Client Delivery Network (iCDNet). Implemented generative LLM-powered RAG Q&A features using Langchain, Milvus, watsonx.data, and watsonx.ai. Led migration from a Java monolith to Python-based microservices, enhancing scalability and maintainability. Designed secure, scalable IBM Cloud architectures for digital workers. Mentored peers in best practices and ensured compliance with IBM security standards.
RESEARCH PERIOD #4
ML Engineer @ IBM, Raleigh, NC (12/2022 - 12/2023)
Designed and implemented CI/CD pipelines for AskiCDNet, a digital worker for iCDNet, leveraging Watsonx Assistant. Developed and maintained a Java Spring Boot REST API middleware for customer support tasks, integrating Watsonx Assistant, ServiceNow, and other third-party APIs. Improved request latency by 40% through strategic caching and optimized ServiceNow query performance.
RESEARCH PERIOD #3
Software Developer @ IBM Z Software (7/2021 - 12/2022)
Designed and developed REST APIs using Node.js and Express.js, enabling seamless integration with z/TPF systems. Created a VSCode extension for the z/TPF Learning Platform, providing an innovative solution for remote z/TPF development in C/C++. Implemented unit tests and adhered to best practices to maintain high code quality, ensuring reliability and stability of the software. Facilitated team retrospectives in agile meetings, promoting a culture of continuous improvement.
RESEARCH PERIOD #2
Backend Dev Intern @ IBM Z Software (6/2020 - 7/2021)
Helped Middleware & Security, Database, and Tooling squads. Extended post-grad offer and joined full-time after graduating in May 2021.
RESEARCH PERIOD #1
Research @ Siena College (11/2019 - 4/2020)
Began formal software engineering in Nov 2019 on a DOD/GE AI grant—building Java/Swing UIs and learning the SDLC firsthand.
Patent Research
Research contributions documented in patent applications. View published work in external database.