Worked on component tasks of DSP Budget Control Server, optimization tasks of DSP Bid Server and integration tasks with Yahoo! Gemini Native Ads

Implemented QuickStop Throttler which successfully reduces the load of the quick-stop events by ~97% sent from DSP(Demand Side Platform) Budget Control Server to DSP Optimization Server

Implemented QuickStart and QuickStop functionality which successfully handles daily budget allocation for Yahoo! Gemini Native Ads

Optimized DSP budget control system database queries and successfully improved database query performance by reducing 1/3 of the time taken by original database query

Designed and implemented the project of reducing DSP Bid Server CPU utilization by at least ~10% (as committed from avg ~63% to ~47%) across the COLOs by optimizing data encryption code, which also helped reduce the p99 bid latency by ~10%

Designed and implemented dynamic calculation of the time budget for the I/O calls (e.g., time taken of calls from DSP Optimization Server) to have the better control from the E2E latency point of view

Designed and implemented Control Server monitoring system which supports monitoring data metrics from partition and cluster level

Participated in the design and implementation of building up docker stage testing environment for DSP Budget Control System

Designed and implemented the refactorization of Logging System

Backend Server(Kafka, ElasticSearch, Logstash, GraphQL, Presto, Druid, Docker, MyBatis, Kotlin)

Led the design and implementation of the search module built on top of ElasticSearch and Kafka

Built the file upload feature using Kotlin, Spring Boot, GraphQL and S3

Implemented Auth0 authentication for the SaaS platform with NodeJS and ReactJS

Integrated with Jupyter Notebook through Jupyter Server Extension and RESTful API with Python and Kotlin

Backend Server(Kafka, Jetty, Docker, Kibana, OAuth2.0, Node.js, Java)

Worked on the HomeSecurity project and implemented support functionality for Bluetooth low-energy sensors

Developed backend server using Apache Tomcat/Jetty, MySQL, Docker, Kibana and Kafka

Integrated Ooma Telo with Nest Smoke Detector using NodeJS

Make inferences about the financial health of companies based on web metrics and verifiable government filings and news articles, and analyze the extracted data, train the algorithms, and then apply the algorithms to thousands of companies.