Full stack software engineer with over 5 years of experience building and scaling distributed systems in fast-paced startups. Throughout my career, I've worked mostly on the fullstack with more focus on backend - Python, Golang, PostgreSQL, MongoDB, ClickHouse, Redis, Apache Kafka, React, and TypeScript.

Experience

2022 — NowMuxSoftware Engineer

2022 — Now

San Francisco, California, United States

2021 — 2022seerSoftware Engineer

2021 — 2022

Palo Alto, California, United States

Built live streaming platform using Django/Vue that is able to handle more than 50,000 participants

using python-mux and videojs libraries, achieving an incredible increase of user activity on the

platform by 40% in the first 3 months after the launch of the feature.

Established integrations with other platforms, and achieved seamless syncing of customers and

products from Shopify; sending emails on behalf of the user's Outlook and Gmail accounts; single sign

on from Salesforce; Syncing of photos from Instagram, iCloud, Dropbox, Google Drive.

Built a data collection service in NodeJS using Cheerio library to insert product information from

foreign websites into the platform; Successfully deployed on Google Lambda; Performed a weekly

testing using a custom-built page to bulk scrape all the websites at once.

2020 — 2021MoverupCo-Founder

2020 — 2021

Los Angeles, California, United States

Participated in decision-making processes regarding software infrastructure, database modeling,

development workflow and set up Jira to track progress and milestones based on 2-weeks Sprint cycles.

Implemented NodeJS Dijkstra's algorithm and combined it with a graph matching algorithm, resulting

in ~50% client matching speed performance and decreased load on the server by 35%.

Created admin tools using NodeJS to ease developers' work and perform CRUD operations on

the database through the web platform which resulted in increased development and QA performance.

2020 — 2020WiskSoftware Engineer Intern

2020 — 2020

United States

Set up Elasticsearch cluster for storing indexes of flight log data; Built NodeJS search engine and

Google Cloud automation to perform daily indexing of newly created data, resulting in ~75% search

speed improvement.

Engineered aggregating pipelines in NodeJS and MatLab that are able to upload more than 24 TB of

flight log data through the chain of platforms and convert raw binary data to more efficient formats that

suit Flight Test team research processes.

Collaborated with the Flight Test and Ground Control Station team to prototype and implement

NodeJS engine and drag-and-drop application to build and run a chain of MatLab and Python analytic

scripts.

Education

2018 — 2020

42 Silicon Valley

Master's degree Equivalent

2018 — 2020