Let's Me Tell You

My Story

I’m a passionate Software Engineer who thrives on building scalable, user-centered applications that contribute to your company.

Since then, I'm falling in love with building software solutions that can improve our living standard.

What might surprise people is that I do my best coding outdoors, literally touching grass. I was born in a coastal mountain area, so I’ve always felt a deep connection to nature. When I’m stuck on a problem, I take my laptop to a park or sit under a tree, and suddenly, things start to click. Nature helps me slow down, think clearly, and write better code. It reminds me that creativity doesn’t only live in IDEs or server logs, but also in stillness and space. I’ve even convinced some friends to join me, and we’ve had a great time coding together outside.

Explore My

Experience

Panasonic North America

Software Engineer Intern | March 2025 – May 2025

Implemented Python (Pandas) pipeline to parse unstructured JSON and PDF invoices into structured CSVs by applying regex-based field extractors and schema normalization, achieving 95% extraction accuracy
Transformed 18 raw tables with 5M+ rows using PySpark on Microsoft Fabric to build a centralized Lake Database of customer and tax data, enabling targeted loyalty strategies and reduced query latency by 25%
Built a serverless API on Azure using FastAPI to expose real-time KPIs computed from Lake Database, enabling Power BI to query live metrics and visualize customer behavior and tax transaction trends for key stakeholders

Finbud AI

Software Engineer Intern | November 2024 – February 2025

Built an AI investment recommendation that scraped 3000+ financial news articles and real-time market indices (S&P500, Dow Joines), leveraging GPT-based NLP models to generate personalized financial advices for 1000+ simulated users
Refactored 18+ React components using react-i18next, React Router, TailwindCSS and context-based locale management to support Vietnamese and English users, leading to 100+ user increase in signups
Optimized real-time stock forecasting for 8+ ETFs in the company portfolio by integrating Linear Regression and Random Forest models into a Node.js backend, deployed via AWS Lambda for scalable performance

Chase Cost Management

Software Engineer Intern | August 2024 – November 2024

Refactored and redesigned pricing and message board pages using TypeScript, React, and Tailwind CSS, ensuring responsive design and improving feature adoption across 50+ client accounts
Increased testing coverage by 15% and backend reliability by 20% for Transaction Support Chatbot service by implementing more than 35 unit tests and end to end tests in JUnit 5 and Mockito

FPT Software

Data Science Analyst Intern | May 2024 – July 2024

Performed exploratory data analysis, data visualization, and data modeling for 8+ financial datasets using MySQL and Tableau to report findings to Sales team, enhancing revenue forecasting accuracy for 2024
Automated data warehouse with Apache Airflow and cloud technologies and collaborated with vice president and Technology team to streamline file matching, reducing manual work by 35%

Gettysburg College

Data Science Intern | February 2024 – May 2024

Applied hypothesis testing and business analytics to decide key factors influencing customer behavior while shopping online using Python and Google Analytics, expected to result in an increase of $3.5M/year
Created metrics using BI tools Power BI, demonstrate data storytelling on E-commerce Dashboard and delivered product analytics and data models to Marketing teams, improving verbal and written communication skills

Turning Ideas Into Real Products

Discover My Portfolio

RefNet

Developed a platform that scrapes internships posted within 24 hours and automatically emails opportunities to 100+ students daily.

S&P500 Trading

Built a C++ console app to simulate long-term S&P 500 investments using historical Nasdaq data with buy, hold, and sell actions.

SummarAIze

Built a live transcription web app with React and Three.js, integrating Google Meet, Microsoft Teams, and Zoom for real-time meeting summaries.

betterTransit

Developed a machine learning model to predict passenger volume on buses and trains in New York at specific times using historical MTA data.

Facial Recognition

The project aims to develop AI facial recognition technology to enhance security for high-profile individuals such as singers from the general public.

Udacity Free Trial

This experiment aims to evaluate whether prompting students to specify their time commitment before beginning a free trial reduces dropout rates.

Janhi Ong