Chi Hoang
***- ***-**** adyzfa@r.postjobfree.com
EDUCATION
California Institute of Technology (Caltech) Pasadena, CA Bachelors of Science, Computer Science, June 2026
Relevant Coursework: Algorithms and Data Structures, Decidability and Intractability, Software Architecture, Computing Systems, Machine Learning, Network Science, Discrete Mathematics WORK EXPERIENCE
Software Engineer Intern
Pachter’s Lab, Caltech March 2023 – Present
● Develop open source contribution pipeline for gget, a Python package for mRNA data analysis
● Update API calls to reference genomic databases, helping researchers reduce 30% error rate through automatic searching
● Write unit tests, documentation, and help maintain backward compatibility Data Analyst Intern
Carnegie Institute of Science Jan 2022 – March 2022
● Analyzed infrared and x-ray spectroscopy data of 2,5 furandicarboxylic acid using Fityk and Excel
● Identified ideal molecules for forming nanothreads using Mercury Data Analyst Intern
US House of Representatives, Congresswoman Bonnie Watson Coleman Jan 2021 – March 2021
● Analyze insights and prepare memos on space, energy and economic policies
● Record and process 200 voicemails from constituents, compile weekly town topics and daily press clips Software Engineer Intern
Technomile (software startup) Jan 2020 – March 2020
● Parse CSV files, classify and name 5000 government contracts, reduce 30% time
● Analyze budget allocations and contract vendors using Excel and internal database Software Engineer Intern
FPT Corporation (largest IT company in Vietnam) Jun – Aug 2019
● Implement program to track motion in mp4 clips using Python OpenCV
● Develop OOP program in Java for students and admin to borrow and manage books in a library PERSONAL PROJECTS AND ACTIVITIES
Physics Engine and Doodle Jump - C Programming Language
● Implement gravity, drag, and collision forces using abstractions and module decomposition
● Create demo files for games including pacman, breakout and space invaders using the physics engine and the SDL library
● Work with 3 members in writing the design doc, negotiating design decisions, and develop a version of Doodle Jump Image Segmentation and Genetic Drift Simulation - Python
● Develop program to normalize intensity values of bacteria cell image and calibrate threshold values using skimage.io
● Identify bacterial cells using a segmentation mask, reduce 20% time of manual image processing
● Apply stochastic processes to measure the effect of mutation compared to the null model of fruit flies across 18 populations
● Used Numpy and matplotlib to plot histograms and line plots of allele frequencies over 500 generations of fruit flies ADDITIONAL
Languages:: C, Python, Java
Tools and Frameworks: Git, SDL, Makefile, ASan, Matplotlib, Pandas, Numpy, Skimage.io Awards: MIT Lemelson Inventeam Semifinalist (2021), CyberPatriot States Semifinalist (2020), Fundraising Award for FIRST Global Challenge (2019)