Career Profile

I’m a versatile backend/devops engineer with extensive experience within startup environments! Although I initially struggled in school and briefly dropped out of college, I persevered and proudly earned a degree in Computer Science from California State University, Fullerton.

My academic journey introduced me to C/C++ and sparked my interest in embedded systems and low level languages. This passion led me to Rust, where I’ve embraced its safety features and unique memory management. Currently, I’m focused on containerized microservices leveraging Docker, bash and Python for CI/CD automation. Additionally, these microservices are deployed using Helm and Kubernetes onto Amazon Web Services and Google Cloud Platform.

I’m also dedicated on honing my Linux skills through working with NixOS and Arch, while exploring personal projects in Rust. Continuously learning and sharing knowledge is my greatest passion and I find it refreshing and invigorating to dive into new challenges.

Experiences

Backend/DevOps Engineer

May 2022 - Present
Crown Sterling
  • Connect REST, HTTP APIs, adapters, and a database for a messaging app
    • Rust, Cassandra, MongoDB, Elasticsearch
  • Create a backend broker service to handle PubSub messages
    • Firebase Cloud Messaging, MemoryStore/Redis
  • Utilize protocol buffers for inter micro service communication
    • Protocol Buffers, gRPC
  • Deploy and push containers/images onto GCP and AWS
    • Kubernetes/Helm/Terraform
  • Index, store and query blockchain transaction history
    • GraphQL, PostgreSQL
  • Automate a CI/CD pipeline
    • Bash, CircleCI, GitHub Actions
  • Automate claiming vested tokens
    • Python, Crontab

Software Engineer Intern

November 2021 - January 2022
Contenda
  • Automated an upload/download YouTube workflow
    • Python, Linux, HTTP APIs
  • Trained and updated custom language models for transcription accuracy and jargon-specific speech
    • EC2, S3, DynamoDB

Projects

Homie, Dataset Visualizer

March 2024 - Present
Personal Project
  • Interactive web app to analyze housing markets from Zillow API, Federal H15, and Federal HPI
  • Deploy a full stack application composed of a RESTful API, PostgreSQL Database, and a server-side rendered front end
    • Leptos, Tokio, Axum SQLx
  • Design reusable, architectural patterns such as dependency injection, hexagonal, microservice, and repository
  • Integrate CSV datasets into data pipelines, optimizing data ingestion and storage in a PostgreSQL database

MicroBit Microcontroller

January 2024 - February 2024
Personal Project
  • Built, debugged, and flashed an embedded Microcontroller
    • C/Rust (no_std)
    • MicroBit, ARM, Cortex-M
  • Interfaced with various sensors and communication protocols
    • Accelerometer, Magnetometer, LED matrix
    • GDB, UART, I2C, and SPI

Wedding RSVP/Registry

April 2023 - May 2023
Personal Project
  • Created a complete backend service for a wedding RSVP/Registry application
  • Connected REST HTTP APIs, adapter middlewares, a database, and a reverse proxy
    • ScyllaDB, NGINX
  • Tagged, built, and pushed images to DockerHub
    • Bash, Docker, GitHub Actions

TuffixCoin CryptoCurrency

March 2021 - April 2021
Hackathon
  • Deployed a decentralized voting application
  • Provided a method for the blockchain club to pass on board positions after graduating
    • React, Solidity, ERC-20

Associations

Co-Founder

January 2021 - December 2021
Blockchain Technologies Club
  • Cofounded blockchain technologies club at California State University, Fullerton
  • Launched an undergraduate team to build a decentralized application for a Hackathon

Member

January 2021 - December 2021
Association for Computing Machinery
  • Club focused on computer science students to study and practice projects and academia
  • Collaborated with peers as a mentor and mentee for mock interviews and study sessions

Summer Researcher

July 2021 - August 2021
ASSURE, Introduction to Artificial Intelligence and Machine Learning
  • Researched and practiced implementing supervised machine learning algorithms
  • Predicted price of a home from linear regression (Jupyter Notebook, NumPy, Kaggle)