Liam McGoldrick

LiamMcGoldrick.org ad35sn@r.postjobfree.com 252-***-**** Tampa, FL

WORK EXPERIENCE

Clifton Larson Allen (CLA) January 2022 – March 2024 Manager ( June 2023-Present), Senior (June 2022- June 2023), Associate (January 2022-June 2022) Tampa, FL

Led the creation, expansion and management of a team that scaled an AI-based accounting tool from a novel solo project to a multi-client, micro-service oriented containerized product

Established self sustaining processes: established a SCRUM team for streamlined development, a project management framework for efficient project flow, a pre-sales technical review to prevent overpromising, a clear project closure procedures to mitigate scope creep, and a hiring process that identified skilled developers

Engaged directly with clients to identify and address efficiency gaps in manual accounting processes, guiding the product's market-fit development and later was pivotal in client engagement during sales

Signed 4 clients in the first year generating $240k in upfront revenue and $40k yearly recurring, product is on track to triple client base in 2024

Delivered an impactful 30 minute presentation on "AI in Accounting" to the board of directors, C-Suite, and owners, using the product as a case study to demonstrate the potential for AI to alleviate tedious accounting tasks.

Epic Systems June 2020 – December 2021

Software Developer Madison, WI

Shipped a novel feature facilitating social media-like interactions on the EHR platform, designed to enhance physician collaboration.

Navigated a highly configurable full-stack ecosystem to write over 10,000 lines of production code, addressing a multitude of real world workflow edge cases to ensure seamless integration across various workflows in multiple languages (M, C#, JS, TS)

Contributed as a member of the Orders team, esteemed for high code quality, focused on developing the product's core and intricate features for ordering medications and procedures within healthcare settings. West Virginia University September 2017 – May 2020 Research Assistant, Computer Vision / Neuroscience Morgantown, WV

Independently proposed and implemented a multi-source domain adaptation algorithm for electron microscope image segmentation, demonstrating strong self-initiative and minimal reliance on external guidance

Developed personal library which automated parameter search and allowed parallel training of models on 8 GPUs, implementing early stopping for modal collapse and remote monitoring of progress

Implemented multiple papers algorithms on the topic of volumetric segmentation, to be applied to 3D neuronal imaging

EDUCATION

West Virginia University May 2020

B.S. Electrical Engineering Morgantown, WV

Concentration in Signal Processing with 3.31/4.0 GPA

Member of Phi Kappa Psi fraternity, maintaining a leadership position for 3 years SKILLS, INTERESTS & PROJECTS

Technical Skills: Software architecture, Python, JS/TS, PyTorch, Docker, React, C#, CI/CD, automated deployment, computer vision, document understanding ML, LLM driven UI development, UI design, cloud solution deployment, API development, retrieval-augmented generation (RAG)

Projects: FringeFinder which automated search across the web for copyrighted images, GBI IDX which replicated MLS data and displayed it for real estate agents, Fast EHR an in progress project exploring FHIR which includes a FHIR resource rendering library in Svelte

Interests: Skiing, paddle boarding, sailing, sinking boats