Walmart Marketplace is an online platform that allows third-party sellers to list their products on Walmart.com. It's similar to selling on Amazon as a third-party seller.
Led one Frontend and two Backend engineers to develop a sales order display project for local store sellers using React, Java, and Microservices
Implemented an eCommerce AI Agent using Python and LangChain to process chat commands, select the best-fit product on Walmart.com, and place it in the shopping cart.
Conducted technical discovery efforts to optimize the efficient extraction and filtering of data from a 300 TPS message queue, Facilitated collaboration between five complex downstream and upstream systems utilizing system design and cross-functional collaboration
Resolved CI/CD production release challenges for mid-sized projects and the team using Kubernetes, Jenkins, Looper, and Python.
Led a sister team to develop Walmart Seller Center’s left navigation
Created internal Chatgpt website using Machine Learning and openAI's GPT builder
Co-led the $80M GMV third-party seller e-commerce subscription vertical function, utilizing React, Redux, Java, Micro Services, Kubernetes, and cloud deployment.
Constructed a scalable backend API capable of handling millions of requests per hour, employing Java, Spring, Kubernetes, cloud technologies, and analytics tools.
Architected, designed subscription program to create a scalable and robust system.
Developed a customer review and web search result summary system using GenAI API, Data Processing, ML, and LLM (Large Language Model).
Maintained the count of P0 production bugs at 0 by implementing unit tests and automation tests using Jest, React Testing
Library, and the Playwright framework
Effectively helped and mentored engineers to stay on top of their tasks, and meticulously code-reviewed their pull requests.
Contributed to the organization's hiring efforts by participating in coding and system design interviews.
2021 — 2022
Software engineers on product and systems teams use the latest technology to build new features and improve existing components across all of Facebook's apps and services. They also partner closely with product teams to define feature specifications and build the next generation of products from Facebook.
Grew 50% in customer usage of internal signal application by developing web applications, chat
bots, and analytic dashboards using Python, Presto, PHP, ReactJS, and Mysql
Built Scalable Backend api that can handle billions requests per day using Ent Schema, GraphQL,
Hack
Developed and improved workplace iOS application which used by billions of users using
Objective-C, SWIFT, Xcode
Customized images using Python, Matplotlib, Numpy, Bayer pattern, computer vision and Colab
Added action logs, Implemented SQL queries for Nexus project to track user behavior, and signal
monetization
Formatted and cleaned data using SQL queries, Crud application, mysql and hive database
operations
Saved millions of dollars of power waste by designed and implemented Order By, Redundant
CASTs, Memory Bound Jobs on T6 -> T1 pipeline efficiency checkers, and its analysis dashboard
using Python, PAX, Spark mem usage, Hive, Daiquery, Scuba, and Unidash during hackathon
Saved company millions of dollars by supporting companywide SEV
Actively answer colleagues’ product/technical questions from dev team, project group and other engineer group
San Francisco Bay Area
Connectivity team handles the wireless software for all Tesla vehicles. Connectivity is one of the core module on Tesla vehicle, which millions of those have been sold world wide.It provide internet for core features like map, phone call, network API call, download new firmware etc. My work mostly related to implement test automation on WiFi and Bluetooth for M3:
Saved over 1000 hours’ worth of QA time by implementing automated wireless regression test using Python, Linux, and Jenkins
Reduced M3 wireless connectivity complains down close to 0 by detect bugs in code and improve user experience
Doubled Developers efficiency by implementing a parallel test process/framework saving 1000 hours of work per year using CI/CD, Python, Docker, Jenkins, Kubernetes, and Shell Scripts
Supported, code reviewed Bluetooth/Cellular function implementation using C/C++, and git
Worked and Tested on Wireless Connectivity Device physical layers
Analytics – Decreased 30% on bug/failures by designing and maintaining data analytics dashboards
Created Machine Learning Model for Vehicle Applications using Splunk, Splunk Machine Learning, and Logistic Regression
Innovated human detection using WIFI Fast Fourier transform CSI Signal, Trained the Model using KNN, Random Forest, Decision Tree, SVM, CNN, LSTM algorithms
Guided other team members with the automation project by provide knowledge transfer and prepare documentation.
Fremont
Tesla is accelerating the world's transition to sustainable energy with electric cars, solar panels and integrated renewable energy solutions for homes and businesses. My role within the internal IT Application Team includes:
Designed, Developed, and Tested Finance Application used by hundreds of banks tracking/processing billions dollar Loans monthly using Angular, TypeScript and .Net
Assigned bugs to various person by getting to the bottom of issues, tracking product owners, testing different branches using CI/CD, reviewing git commit/PR information, and doing splunk analysis
Implemented and executed test strategies on all supported platforms, and languages to help improve overall quality and coverage using white box testing (C#, Angular), splunk, Swagger, REST API, Chrome Debugger, Appium, Android Studio, and XCode
Education
San José State University
Master's degree
2012 — 2014
Kansas State University
Bachelor's degree
2012 — 2014
2017 — 2017
Duke University
on Coursera
2017 — 2017
2016 — 2016
University of California, Berkeley
Education minor
2016 — 2016
2009 — 2012
Barton Community College
Associate's degree
2009 — 2012