Open to opportunities

Caden Wright

@cadenwright

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Computer scientist focused on applied AI and full-stack engineering with security clearance.

United States

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What I'm looking for

I seek roles applying applied ML and full-stack engineering at mission-driven teams where I can impact product reliability, scale systems, and continue learning.

I am a computer scientist specializing in applied AI, full-stack development, and scalable backend systems, with hands-on experience at government and startup environments. I have built production dashboards, ML-powered APIs, and real-time predictive systems while improving model accuracy and migrating critical infrastructure.

My work blends research rigor and product delivery: I have improved TensorFlow models, evaluated ML and LLM approaches for resilience and cost, and shipped integrations and tooling that scaled revenues and operational capability. I hold an active TS/SCI with Full Scope Polygraph and a strong academic foundation in computer science and mathematics.

Experience

Work history, roles, and key accomplishments

Current

Computer Science Co-op

Current

National Security Agency

Aug 2025 - Present (7 months)

Developed a real-time predictive alert system for a critical analysis platform, discovered and fixed a bug in a widely used Python tool, and evaluated ML and LLM approaches for accuracy, cost, and resilience against shifting data.

Python Machine Learning LLM Evaluation Real Time Systems Debugging Data Analysis AWS REST APIs

Summer Software Engineer

Caseflood.ai

May 2025 - Aug 2025 (3 months)

Rebuilt internal and client-facing dashboards with Next.js, implemented dynamic CRM and lead-share integrations, migrated the company database to PostgreSQL, and contributed to scaling revenue from $30M to $80M.

Next.js React PostgreSQL CRM Integration TypeScript Database Migration Web Development API Design

Undergraduate Research Assistant

Purdue Lee Memory and Cognition Lab

Jan 2025 - May 2025 (4 months)

Algorithmically generated concise keyword descriptions of participants' screen content to automate labeling and support cognitive research workflows.

Python Algorithm Design Data Labeling Automation Data Analysis Experimentation

Software Engineering Intern

CP Handheld Technologies

Nov 2023 - Aug 2024 (9 months)

Improved TensorFlow document recognition accuracy from 94% to 97% via RegEx-based image pattern analysis and increased garage location prediction accuracy from 95% to 98.5% while contributing in two-week agile sprints.

TensorFlow Machine Learning Python Regex Model Evaluation Agile data preprocessing Computer Vision

Web Development Intern

Nextech Catapult Program

Jun 2023 - Jul 2023 (1 month)

Contributed to web development projects and gained practical experience building front-end and back-end features during a summer program.

Web Development JavaScript HTML CSS React Node Git REST APIs

Education

Degrees, certifications, and relevant coursework

Purdue University

Bachelor of Science, Computer Science

Grade: 3.83 GPA

Activities and societies: Undergraduate research at Lee Memory and Cognition Lab; multiple internships and campus projects including BoilerSync and BIMS.

Completed a Bachelor of Science in Computer Science with a Minor in Mathematics, graduating with a 3.83 GPA.