aaroncayanan.com Open in urlscan Pro
198.54.126.102  Public Scan

Submitted URL: http://aaroncayanan.com/
Effective URL: https://aaroncayanan.com/
Submission: On November 13 via api from US — Scanned from DE

Form analysis 0 forms found in the DOM

Text Content

Aaron Cayanan
 * Home
 * Experience
 * Projects
 * Contact


AARON CAYANAN

AI Consultant SWE

I am a student dedicated to learning and growing in the field of computer
science, with interest in software development and artificial intelligence. With
a background in Biology for Allied Health, I've transitioned from Nursing to
follow my passion for technology.

Currently, I study at San Diego Mesa College, majoring in Pre-Engineering and
Computer Science. I work at Scale AI, where I train large language models (LLMs)
for code accuracy and correctness by developing and evaluating complex prompts
that enhance LLM performance.


LinkedIn Resume


Experience

Scale AI

AI Consultant Software Engineer

Feb 2024 - Present

I specialize in training large language models (LLMs) for code accuracy and
correctness, focusing primarily on Java and Python. My responsibilities include
crafting and evaluating complex prompts that enhance LLM performance. In my
personal projects, I have demonstrated my coding prowess and innovative
thinking.

The Cove at La Jolla

Certified Nursing Assistant

Aug 2023 - Mar 2024

Supported registered nurses and healthcare professionals in delivering direct
patient care and ensuring a safe environment. Skilled in assisting patients with
daily living activities, personal hygiene, and comfort. Certified in CPR and
BLS, and compliant with OSHA and HIPAA regulations.

Tech Stack

Java

Python

C++

HTML

CSS

JavaScript

Projects

ScurvyScout

I aimed to tackle a notorious health issue among pirates—scurvy—blending my
former passion for healthcare with my new pursuit in computer science. This
project was born from the desire to merge these interests into a simple health
application within a 36-hour hackathon framework.

Explore Github

TenAce Analyst

Utilize Python libraries such as ’requests’ to retrieve a pull request using ATP
World Tennis statistics API and organize the data into a dataframe using the
’pandas’ library. Data manage and analyze improvement for serve aces and other
tennis features using data from years previous.

Explore Github

this website is under construction...

last update: 04/21/2024