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
Effective URL: https://aaroncayanan.com/
Submission: On November 13 via api from US — Scanned from DE
Form analysis
0 forms found in the DOMText 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