Kartikey S.

Software Engineer

San Jose, California, United States9 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable infrastructure solutions.
Led successful Kafka upgrade with zero downtime.
Developed personalization engine increasing CTR by 30%.

Stackforce AI infers this person is a Backend-focused Infrastructure Engineer in the Messaging industry.

Contact

kartik93abc@gmail.com LinkedIn

Skills

Core Skills

MicroservicesBackend DevelopmentInfrastructure Engineering

Other Skills

API IntegrationAlgorithmsAssembly LanguageCC#C++Data StructuresDistributed SystemsElasticSearchElasticsearchFedoraFlaskHBaseHTMLJava

About

*Everything I write on LinkedIn are my own views and do not reflect that of my current employer or any past employer I was associated with* I graduated from the University of Southern California. My area of interest lies in building highly-scalable infrastructure. I worked as an Infrastructure Engineer at Hike Messenger, India's youngest unicorn startup. All this while, my responsibilities had been to understand the product requirement and deliver it on time, working with the team to write clean, reusable pieces of code, and build scalable architecture for microservices, and mentoring new hires.

Experience

9 yrs 8 mos

Total Experience

3 yrs 4 mos

Average Tenure

3 yrs 9 mos

Current Experience

Google

Software Engineer

Aug 2022 – Present · 3 yrs 9 mos · Mountain View, California, United States

Amazon

2 roles

Software Engineer

Jun 2020 – Dec 2022 · 2 yrs 6 mos · San Francisco, California, United States

SDE Intern

May 2019 – Aug 2019 · 3 mos · Greater San Diego Area

Hike messenger

3 roles

Specialist Software Development Engineer

Apr 2018 – Aug 2018 · 4 mos

Collaborated with data science team to develop a personalization engine, producing required data on the messaging queue (Kafka) and integrating API’s in user flow which increased Click Through Rate (CTR) by 30%
Architected and implemented a microservice using Java to deliver actionable post to user’s timeline and storing their actions in HBase. Exposed this service through thrift endpoint.

JavaKafkaAPI IntegrationHBaseMicroservicesBackend Development

Member of Engineering Staff

Jun 2015 – Mar 2018 · 2 yrs 9 mos

Coded a gatekeeper system which tracked notifications sent to the user on hourly, daily, and weekly basis in HBase and controlled outgoing notifications based on the data from HBase and smart rules, this
reduced spam by 13%
Implemented Redis & Kafka based queuing system which produced data to Kafka when Redis was unavailable while also maintaining the packet order, later switching back to Redis when Redis became available, thereby improving the reliability of infrastructure by 5%
Kafka Upgrade: Led initiative to upgrade Kafka from 0.10.x to Kafka 1.1, completed upgrade activity on production system with zero downtime
Programmed a search system and indexed a 100 million users record in Elasticsearch that improved end-user experience for the search of others.
Enhanced and ensured consistent user experience across networks by transcoding video in multiple resolutions for different devices and serving high-quality video based on multiple parameters.

HBaseRedisKafkaElasticsearchVideo TranscodingInfrastructure Engineering+1

Software Engineer Intern

Jan 2015 – Jun 2015 · 5 mos

Setup pipeline and dashboard for viewing analysis based on user action logs in real time with ElasticSearch, Logstash, Kibana (ELK) stack which improved the visibility of infrastructure.
Reduced memory required for storage of user segments by a factor of 64 by storing segments in bitset instead of MongoDB documents.

ElasticSearchLogstashKibana