Living a well-balanced life while fulfilling my unwavering passion for the future of technology.
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.
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.
Built a voice AI assistant to reduce customer churn from scheduling conflicts in enterprise systems. Used RAG, VAPI, and GPT-4o for real-time support, with a 200ms response time. Optimized a Firecrawl + Pinecone pipeline, cutting API calls by 77% and content size by 23%.
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.
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.
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.
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.
Built a voice AI assistant to reduce customer churn from scheduling conflicts in enterprise systems. Used RAG, VAPI, and GPT-4o for real-time support, with a 200ms response time. Optimized a Firecrawl + Pinecone pipeline, cutting API calls by 77% and content size by 23%.
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.
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.
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.
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.
Built a voice AI assistant to reduce customer churn from scheduling conflicts in enterprise systems. Used RAG, VAPI, and GPT-4o for real-time support, with a 200ms response time. Optimized a Firecrawl + Pinecone pipeline, cutting API calls by 77% and content size by 23%.
June 2025 - Present
Remote, USA
September 2023 - December 2023
Marina Del Rey, CA
June 2023 - September 2023
Palo Alto, CA