Currently seeking internships (Summer '26)
Jonathan Wrenn
Programmer, System Designer, Student (Columbia '27)
Jonathan Wrenn
Programmer, System Designer, Student (Columbia '27)
Jonathan Wrenn
Programmer, System Designer, Student (Columbia '27)
Hi! I'm
Jonathan Wrenn
a
Comp Sci & Math Student
at
Columbia University ('26)
who turns ideas into quality code
Skilled in
Python
Skilled in
Java
Skilled in
Javascript
Skilled in
SQL
Skilled in
Python
Skilled in
Java
Skilled in
Javascript
Skilled in
SQL
{01} — Featured projects
I apply technical skill for measurable impact
Past Projects
{02.A} — Tools & Skills
Backend Technical Skills
{02.A} — Tools & Skills
Backend Technical Skills
{02.A} — Tools & Skills
Backend Technical Skills
Python
Backend Development
Experienced
Python
Backend Development
Experienced
Python
Backend Development
Experienced
Java
Backend Development
Experienced
Java
Backend Development
Experienced
Java
Backend Development
Experienced
Node js
Backend Development
Intermediate
Node js
Backend Development
Intermediate
Node js
Backend Development
Intermediate
PHP
Backend Development
Basic
PHP
Backend Development
Basic
PHP
Backend Development
Basic
Ruby
Backend Development
Basic
Ruby
Backend Development
Basic
Ruby
Backend Development
Basic
HTML
Frontend Development
Intermediate
HTML
Frontend Development
Intermediate
HTML
Frontend Development
Intermediate
CSS
Frontend Development
Intermediate
CSS
Frontend Development
Intermediate
CSS
Frontend Development
Intermediate
Javascript
Frontend Development
Intermediate
Javascript
Frontend Development
Intermediate
Javascript
Frontend Development
Intermediate
React
Frontend Development
Basic
React
Frontend Development
Basic
React
Frontend Development
Basic
{02.B} — Tools & Skills
Frontend Technical Skills
{02.B} — Tools & Skills
Frontend Technical Skills
{02.B} — Tools & Skills
Frontend Technical Skills
Software Engineering
Quantitative Analysis
Data Mining
System Design
Research
Software Engineering
Quantitative Analysis
Data Mining
System Design
Research
{03} — Resume
Work Experience
Remote
/
01
Rasa Legal, Machine Learning Engineer
Wrote and maintained Python scripts leveraging large language models (LLMs) to automate document classification and analysis, streamlining workflows and significantly reducing manual review time.
Developed and optimized data classification pipelines for legal documents, including querying large-scale PostgreSQL databases and refining classification criteria for improved accuracy.
Conducted data quality audits and performed large-scale database queries to identify and address classification inconsistencies across 10,000+ records.
Jun 2025 - Aug 2025
Remote
/
01
Rasa Legal, Machine Learning Engineer
Wrote and maintained Python scripts leveraging large language models (LLMs) to automate document classification and analysis, streamlining workflows and significantly reducing manual review time.
Developed and optimized data classification pipelines for legal documents, including querying large-scale PostgreSQL databases and refining classification criteria for improved accuracy.
Conducted data quality audits and performed large-scale database queries to identify and address classification inconsistencies across 10,000+ records.
/3-5 weeks/
Remote
/
01
Rasa Legal, Machine Learning Engineer
Wrote and maintained Python scripts leveraging large language models (LLMs) to automate document classification and analysis, streamlining workflows and significantly reducing manual review time.
Developed and optimized data classification pipelines for legal documents, including querying large-scale PostgreSQL databases and refining classification criteria for improved accuracy.
Conducted data quality audits and performed large-scale database queries to identify and address classification inconsistencies across 10,000+ records.
Jun 2025 - Aug 2025
Princeton, NJ
/
02
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.
June 2024 - August 2024
Princeton, NJ
/
02
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.
/3-5 weeks/
Princeton, NJ
/
02
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.
June 2024 - August 2024
Remote
/
03
Veo Careers, Software Engineer Intern, Junior Software Engineer
Designed and implemented AI-driven recruitment workflows, reducing candidate review cycles from 2–4 weeks to 10 days and accelerating client onboarding.
Developed and deployed an AI chatbot serving 600+ monthly users, providing job seekers with affordable resources at just $5/month operational cost.
Created automated workflows for pre-screen video interviews using AI to analyze transcripts and auto-determine pass/fail, saving 20+ hours in screening time.
May 2023 - June 2024
Remote
/
03
Veo Careers, Software Engineer Intern, Junior Software Engineer
Designed and implemented AI-driven recruitment workflows, reducing candidate review cycles from 2–4 weeks to 10 days and accelerating client onboarding.
Developed and deployed an AI chatbot serving 600+ monthly users, providing job seekers with affordable resources at just $5/month operational cost.
Created automated workflows for pre-screen video interviews using AI to analyze transcripts and auto-determine pass/fail, saving 20+ hours in screening time.
/3-5 weeks/
Remote
/
03
Veo Careers, Software Engineer Intern, Junior Software Engineer
Designed and implemented AI-driven recruitment workflows, reducing candidate review cycles from 2–4 weeks to 10 days and accelerating client onboarding.
Developed and deployed an AI chatbot serving 600+ monthly users, providing job seekers with affordable resources at just $5/month operational cost.
Created automated workflows for pre-screen video interviews using AI to analyze transcripts and auto-determine pass/fail, saving 20+ hours in screening time.
May 2023 - June 2024
Key Work Outcomes
90%
Decrease
in Quantum Cascade Laser's data analysis time (5+ min to <30 sec)
90%
Decrease
in Quantum Cascade Laser's data analysis time (5+ min to <30 sec)
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)
65%
Reduction
in Veo Careers' recruitment cycle time (28 days to <10 days)
65%
Reduction
in Veo Careers' recruitment cycle time (28 days to <10 days)
20hrs
Eliminated (per week)
of candidate screening time for Veo Careers
20hrs
Eliminated (per week)
of candidate screening time for Veo Careers
20hrs
Eliminated (per week)
of candidate screening time for Veo Careers