Open to opportunities

Andrew lindstrom

@andrewlindstrom

Message

Computer scientist focused on AI-enabled data visualization and high-performance systems.

United States

Message

What I'm looking for

I seek roles building AI-driven visualization and high-performance systems, with opportunities for research collaboration and production deployment in data- and graph-focused domains.

I am a computer scientist experienced in building AI-driven data visualizations, high-performance systems, and scalable APIs, combining C/C++ and Python with modern web stacks like Vue, D3, and FastAPI. I have implemented parallelized numerical algorithms, converted models from Python to C for efficiency, and built REST endpoints and interactive visualizations that make complex medical data accessible.

My work spans research and production: I contributed to NSF-funded surrogate and hybrid modeling projects using MAGMA and OpenCV, developed an AI agent and restrictive API for graph sub-selection in medical domains, and created end-to-end visualization features at a startup. I am pragmatic, detail-oriented, and focused on delivering robust, efficient solutions that translate complex datasets into actionable insights.

Experience

Work history, roles, and key accomplishments

Developer

VisualizAI

May 2025 - Sep 2025 (4 months)

Developed Claimsagent, implementing VueJS and D3 visualizations and Django-based REST endpoints to simplify medical-record data; built backend filtering with Django ORM to drive interactive heatmaps.

Vue.Js D3.Js Django REST APIs Vuetify Data Visualization Python

Undergraduate Research Assistant

Seelab

Aug 2024 - May 2025 (9 months)

Built a FastAPI-based restrictive API and AI agent to extract named entities from medical diagnoses, select representative subgraphs from large medical-code graphs, and visualize graph layouts with D3.

fastAPI Python Named Entity Recognition D3.Js Data Visualization APIs

Undergraduate Research Assistant

Global Computing Lab

Jan 2024 - May 2024 (4 months)

Ported SBM and HYPPO models from Python to C and added parallelism; implemented k-fold and least-squares regression using MAGMA for GPU/multi-core acceleration and applied K-NN from OpenCV for sampling.

C++Python OpenCV Numerical Methods Machine Learning

Education

Degrees, certifications, and relevant coursework

University of Tennessee, Knoxville

Bachelor of Science, Computer Science

2021 - 2025

Pursuing a Bachelor of Science in Computer Science with coursework in algorithms, systems, parallel programming, and security; expected graduation May 2025.