Portfolio

Tidal Disruption Analysis

March 2024

Collaborated with a team of 4 to develop a Python script for simulating and analyzing Santa Cruz tidal data, identifying discrepancies caused by the Hunga Tonga-Hunga Ha'apai volcanic eruption, and finalized a Jupyter Notebook to visualize findings, revealing a significant 2 ft deviation from regular tidal patterns due to tsunami impacts.

Environmental Statistical Analysis and Data Collection

April 2023

Developed an environmental data collection system using a DHT11 sensor and a Raspberry Pi 400B, integrating MariaDB for database management and writing a C-based program for intuitive, real-time statistical analysis of temperature and humidity.

GPA Prediction with Machine Learning

February 2023

Successfully developed a linear regression based machine learning program in Python to build and train a model that would predict a student's future GPA based on a given dataset.

LLM Router

August 2025 - September 2025

Built a production system that uses a hybrid classification system to automatically selects optimal AI models for prompts, reducing token costs by 20-30%.

Aven AI Support Platform

July 2025

Built a voice-based AI assistant using RAG techniques and VAPI for voice interaction, enabling real-time contextual support with 200ms average voice response time.

Virtualized Campus Parking System

April 2025

Collaborated in a team of 6 developers to build a digital solution for campus parking operations, replacing paper-based systems with streamlined online processes for vehicle registration, permit purchasing, and ticket management.

Tidal Disruption Analysis

March 2024

Collaborated with a team of 4 to develop a Python script for simulating and analyzing Santa Cruz tidal data, identifying discrepancies caused by the Hunga Tonga-Hunga Ha'apai volcanic eruption, and finalized a Jupyter Notebook to visualize findings, revealing a significant 2 ft deviation from regular tidal patterns due to tsunami impacts.

Environmental Statistical Analysis and Data Collection

April 2023

Developed an environmental data collection system using a DHT11 sensor and a Raspberry Pi 400B, integrating MariaDB for database management and writing a C-based program for intuitive, real-time statistical analysis of temperature and humidity.

GPA Prediction with Machine Learning

February 2023

Successfully developed a linear regression based machine learning program in Python to build and train a model that would predict a student's future GPA based on a given dataset.

LLM Router

August 2025 - September 2025

Built a production system that uses a hybrid classification system to automatically selects optimal AI models for prompts, reducing token costs by 20-30%.

Aven AI Support Platform

July 2025

Built a voice-based AI assistant using RAG techniques and VAPI for voice interaction, enabling real-time contextual support with 200ms average voice response time.

Virtualized Campus Parking System

April 2025

Collaborated in a team of 6 developers to build a digital solution for campus parking operations, replacing paper-based systems with streamlined online processes for vehicle registration, permit purchasing, and ticket management.

Tidal Disruption Analysis

March 2024

Collaborated with a team of 4 to develop a Python script for simulating and analyzing Santa Cruz tidal data, identifying discrepancies caused by the Hunga Tonga-Hunga Ha'apai volcanic eruption, and finalized a Jupyter Notebook to visualize findings, revealing a significant 2 ft deviation from regular tidal patterns due to tsunami impacts.

Environmental Statistical Analysis and Data Collection

April 2023

Developed an environmental data collection system using a DHT11 sensor and a Raspberry Pi 400B, integrating MariaDB for database management and writing a C-based program for intuitive, real-time statistical analysis of temperature and humidity.

GPA Prediction with Machine Learning

February 2023

Successfully developed a linear regression based machine learning program in Python to build and train a model that would predict a student's future GPA based on a given dataset.