Currently seeking internships (Summer '25)

Jonathan Wrenn

Programmer, System Designer, Student (Columbia '26)

Hi! I'm

Jonathan Wrenn

Comp Sci & Math Student

Columbia University ('26)

who turns ideas into quality code

And I'm currently seeking an internship for Summer '25

See what I can do

Skilled in
Python
Skilled in
Java
Skilled in
Javascript
Skilled in
SQL

{01} — Featured projects

I apply technical skill for measurable impact

Let's get in touch

Past Projects

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Computational Research

}

.......

Jun 1, 2024

Aug 31, 2024

Princeton University

Result: Reduced Quantum Cascade Laser data analysis time by 90%+.

{

Software Engineering

}

.......

May 1, 2023

Jun 1, 2024

Veo Careers

Result: Reduced recruitment cycle times by 65%+.

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Custom Applications

}

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Jan 1, 2024

Apr 1, 2024

Second Chancer Connect

Result: Built a scalable AI-powered mentorship platform for over 2M incarcerated individuals.

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Software Engineering

}

.......

Dec 1, 2023

May 1, 2024

Cool Beans

Result: Built an MVP e-commerce platform with user authentication, product browsing, cart, and checkout features, along with responsive design and inventory tracking.

View all projects

{02.A} — Tools & Skills

Backend Technical Skills

Python

Backend Development

Experienced

Java

Backend Development

Experienced

Node js

Backend Development

Intermediate

PHP

Backend Development

Basic

Ruby

Backend Development

Basic

HTML

Frontend Development

Intermediate

CSS

Frontend Development

Intermediate

Javascript

Frontend Development

Intermediate

React

Frontend Development

Basic

{02.B} — Tools & Skills

Frontend Technical Skills

Software Engineering
Quantitative Analysis
Data Mining
System Design
Research

{03} — Resume

Work Experience

Princeton, NJ

Princeton University, Computational Biology Research Intern

Conducted advanced data mining and machine learning research on Quantum Cascade Laser (QCL) design, successfully filtering and analyzing a dataset of 151 million potential structures.
Developed and implemented custom Python scripts for efficient data processing, visualization, and parameter filtering, significantly reducing analysis time from 5+ minutes to under 30 seconds.
Simulated and validated the theoretical performance of optimized QCL designs, identifying high-performance structures that can be used in chemical sensing, environmental monitoring, and self-driving car technologies.

Jun 2024 - Aug 2024

Remote

Veo Careers, Junior Software Engineer

Designed and implemented AI-driven processes to review candidate applications, reducing recruitment cycles from 2–4 weeks to 10 days, substantially increasing revenue potential and accelerating client onboarding.
Developed a bot to automatically upload PDFs from major job boards into our database, eliminating 2 hours of daily manual work and allowing employees to focus on higher-impact tasks.
Designed workflows for pre-screen video interviews, utilizing AI to analyze transcripts and automatically determine pass or fail, saving over 20 hours in interview screening time and improving efficiency and consistency in candidate evaluations.

Oct 2023 - June 2024

Remote

Veo Careers, Software Engineer Intern

Developed and deployed an AI chatbot on the company website, serving 600 monthly users and providing a valuable resource for job seekers at a cost of 5 dollars per month to the company.
Set up website analytics to capture and analyze traffic data, generating insights that boosted site traffic by 20% and added 10 new client leads per month.
Developed automated workflows for a nonprofit’s mentoring program within jails/prisons, eliminating physical handling of letters by digitizing mail and sending contents directly to mentors’ email inboxes, allowing the program to scale rapidly and serve hundreds of people nationwide.

May 2023 - Oct 2023

Key Work Outcomes

90%

Decrease

in Quantum Cascade Laser's data analysis time (5+ min to <30 sec)

65%

Reduction

in Veo Careers' recruitment cycle time (28 days to <10 days)

20hrs

Eliminated (per week)

of candidate screening time for Veo Careers

{05} — FAQ

Common Internship Questions

01/

Are you willing to relocate for an internship, and are there any considerations we should be aware of?

Yes, I am willing to relocate for this internship. I would appreciate any information on housing support or resources the company might offer, but I am prepared to manage the logistics independently if needed.

02/

Are you comfortable working in a hybrid or in-person work environment, if required?

Yes, I am comfortable working in a hybrid or in-person setting and am willing to commute or relocate as necessary for the role.

03/

Are you available for the full duration of our summer internship program?

Yes, I am fully available for the entire duration of any summer internship program, and I can adjust my schedule to meet your program's requirements.

04/

Are you hoping to transition this internship into a full-time opportunity after graduating in May 2026?

Yes, I am very interested in the possibility of transitioning into a full-time role after graduation in May 2026. My goal is to contribute meaningfully during the internship, demonstrate my potential, and align my long-term career goals with the company's objectives.