I am a software engineer, with strong passion in creating useful system that solves painpoints of users. I have a strong understanding of of Typescript, Javascript, Node.js, React, and Python. I use Typecript extensibly on my work. More importantly, I am committed to making meaningful contributions to our world.
I am also a DOST Scholar. I took satisfaction in creating softwares that solves and provide value to users.
I’m currently exploring RAG (Retrieval-Augmented Generation) and building a simple, reusable RAG system for document-based knowledge sources.
- CLI support for easier usage and automation
- Multiple vector stores for flexible storage options
- Batch/periodic embedding for new documents and data
- Reusable document pipelines that can be adapted across different documents and use cases
I'm always looking to collaborate on exciting projects and ideas, so please feel free to reach out over LinkedIn or email me at junjunzaragosa2309@gmail.com
I write blogs relating to the software projects that i am working on or machine learning topics that interest me.
Read my posts about:
- Using Google Earth Engine to Find Barrier Against Wind Terrain using Wind Direction and Elevation
- Extracting Climatic Historical Data from Google Earth Engine using Python API for a Specific Land Area
- Using LLM to Generate Data for D3.js Force Directed Graph (FDG)
- Naïve Approach to Combining Time Series Data
- Hacked! What We Can Learn from the Biggest Corporate Breaches in 2023
- Finding Similar Protein Sequences with BLAST in Python
- Sentiment Analyzer: Natural Language Processing Web Application
- Stocks & Market Index Correlation Analysis
- Analysis of Philippine Stock Exchange Index’s (PSEi) Performance Over the Year Using Python
- Predicting Compresive Strenght of Concrete Using Machine Learning
- Using Large Language Model to Provide Context-Specific Explanation to Time Series Forecast