I work to build things
that solve your problems.

I love to code...
Python

I'm a Masters CS Student at Cornell Tech. Before Cornell, I was a software engineer at Verizon Media and Yahoo. I received my undergraduate degree at UCLA.

About me!

Graduate CS at Cornell Tech | Mission-driven Software Engineer & Machine Learning JunkieOne day I'd like to double up; as a Ken Watanabe char acter;

Software Engineering

Frontend: Next.js, Reactjs, HTML5, CSS3/SASS

Backend: Java/Spring, Python, Go, C/C++ Typescript, SQL, MongoDB

Other: Docker, Kubernetes, Spark, Shell/Bash, Verilog,

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PythonPythonPythonPythonPython

Machine Learning & Blockchain Junkie

Machine Learning: Pytorch, Spark, NLP, CV, LLMs, Transformers

Blockchain: Hyperledger Fabric (Go), Solidity

ArduinoEnergia


PythonPython

Python

Pun Trivia Facts!

I'm a decent petrolhead, but sometimes car puns can be exhausting...

I'm love playing racket sports, and played alot of tennis in undergrad! Although I'm in need of more breaks...

tldr; I'm a huge fan of Motorsport such as 🏎️ F1, WEC, WRC, and I actively play Tennis 🎾 Badminton 🏸 and Ping Pong 🏓!

F1F1F1

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Experience

Sometimes I like to make things, occasionally they actually end up being pretty cool. Take a short walk(around); I don't byte!

Yahoo Sports

yahoo

Software Engineer | Jul 2022 - Aug 2023

  • Led a project to enhance Draft’s logging infrastructure by developing Go Daemons with PHP/Perl scripts, resulting in a 5x improvement in logging visibility and reducing log search times by up to 70%.

  • Co-led Java backend integration of Yahoo ePay to improve payins/payouts and reduce risks for Yahoo Wallet

  • Created a Java tool to monitor a data ingestion feed processor, reducing errors in live sports data by up to 30%

Tech Stack: Java, Go, Apache Storm, Redis, Sherpa, PHP, Perl, MySQL, Kubernetes, Splunk

Verizon Media

verizonmedia

Software Engineering Intern | Jun 2021 - Sep 2021

  • Developed and optimized a program in Java that allowed users in the paid games platform to perform bulk CSV inserts/updates, increasing the data upsert limit by 1000% with only 12% increased latency.

  • Created engineering design docs and hosted design reviews spanning multiple teams (Product, Frontend, Backend)

  • Ran various load tests for high RPS endpoints while monitoring Splunk dashboards and alerts to meet SLA

Tech Stack: Java, Python, Spring, Splunk

Smart Energy Research Center

alterra

Software Engineering Intern | Jan 2021 - Jul 2022

  • Collaborated with PhD students to design and build a blockchain app for optimized EV Smart Charging in Go

  • Built a Hyperledger Fabric POC to capture Electrical Vehicle charging & discharging transactions.

  • Utilized the commander OOP design pattern with Apache Kafka publisher/listener state management.

Tech Stack: Go, Hyperledger Fabric, Node.js, React.js

BliBli.com

alterra

Software Engineering Intern | June - Aug 2020

  • Implemented a backend transport order system to track the movement of merchant’s goods in warehouses by creating an order management system using Java Spring Boot RESTful API with PostgreSQL databases complete with JUnit tests.

  • Launched live production deployment by configuring Jenkins, Jmeter and PostgreSQL.

  • Utilized the commander OOP design pattern with Apache Kafka publisher/listener state management.

Tech Stack: Java, Spring Boot, PostgreSQL mongoDB, Kafka, JUnit

Alterra

alterra

Software Engineering Intern | July - Sept 2019

  • Built a server-side application for a flexible billing system using nestJS and Express.js, reducing biller API integration time by 90%

  • Researched and implemented Node.js microservices (rabbitMQ, redis, amqp) in typescript to provide asynchronous operations to external system configuration and processes

  • Managed gitflow using Gitlab CI/CD for staging, and Sonarqube + GitPrime for code analysis

Tech Stack: Typescript, nestJS, Express.JS, mongoDB, redis, rabbitMQ, Jest (unit/integration tests)

Speakly

speaklygcloud

Awarded Best use of Google Cloud API (LA Hacks 2019)

  • Speakly uses Google's Speech-To-Text, Natural Language, and Vision API to track the speaker’s facial movements and emotions

  • The program then utilizes this information and runs an algorithm to grade and highlight specific areas the speaker needs to improve

Tech Stack: Python, Google Cloud API (Vision, Speech-to-Text, NLP), HTML/CSS, PHP

Contact

Funfact: The background images depict the serene island of Pototano, located near Lombok, Indonesia. Getting there involved taking a 50-year old ferry ⛴️ followed by a short Helicopter ride 🚁

Contact