Eli Quist

My Toolbox

To build scalable, maintainable, and efficient software and AI systems, my go-to tools often consist of the following:

                            _____________________________
                            |   |                   |   |
                +-------------------+-------------------------------+
                | Eli's Go-To Toolbox                               |
                +-------------------+-------------------------------+
                | Golang            | Pipelines, backends, tooling  |
                | Python + PyTorch  | ML/AI systems                 |
                | GitHub Actions    | Automation                    |
                | LaTeX             | Sharing Knowledge             |
                | TypeScript + React| Frontend development          |
                | PostgreSQL        | Data storage                  |
                +-------------------+-------------------------------+

Additionally, I have experience with all of these:

Languages: Go, Python, TypeScript/JavaScript, SQL, MATLAB, C, C++, R
Frameworks & Libraries: PyTorch, FastAPI, React, Vertex AI, Vision AI, Scikit-Learn
Cloud & Infrastructure: Google Cloud (BigQuery, Cloud Composer, Cloud Tasks, Pub/Sub, Cloud Storage), AWS, Kubernetes, Docker, Terraform, Supabase
Tools: Git/GitHub, GitHub Actions, Jupyter, Jira, LaTeX

My Experience

TeraDact

Right now, I am building @ TeraDact!

HappyDoc

I previously worked as a Junior Data Engineer (July 2024 - August 2025) and an Applied Science Intern (March 2024 - July 2024) at HappyDoc. Key contributions include:

Technical lead for an AI-powered system transforming audio into a dashboard of actionable insights for veterinary professionals
Designed scalable data pipelines using PostgreSQL and event-driven cloud technologies
Built and maintained ETL pipelines to optimize AI model performance across various providers and implementations, achieving measurable improvements across key metrics
Created AI-driven analytics tools and internal platforms for customer experience optimization.
Developed event-driven agent platforms to automate clinical workflows
Contributed significantly in a fast-paced, collaborative startup environment

Brightvine

Previously a Software Engineering Intern at Brightvine from November 2021 to March 2024:

Built software products from scratch, covering both frontend and backend development
Led the development of an AI-powered ETL system for PDF data extraction, from proof of concept to production
Designed and implemented AI-driven web apps in Go, JavaScript, and Python on centralized and blockchain-based data stores
Gained experience with machine learning and AI tools on Google Cloud, including Vertex AI and Vision AI
Practiced agile development, devops ownership, and clean architecture in a high-speed startup environment

Open Source Projects

Here are some open source projects I have created or contributed to:

pyECT - The Weighted Euler Characteristic Transform (WECT) is a mathematical tool used to analyze and summarize geometric and topological features of data. This package provides an efficient and simple implementation of the WECT using PyTorch, increasing its accessibility and efficacy for deep learning and big data applications.
GitHub Paper
manifoldscore - Manifold learning is a broad class of algorithms that seek to derive lower-dimensional structure from high-dimensional data. This package provides a framework for evaluating the quality of manifold learning algorithms in unsupervised settings, leveraging topological and geometric information about the data.
GitHub Paper