Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Dheemanth Bykere Mallikarjun

Dheemanth Bykere Mallikarjun

Santa Clara,CA

Summary

Exceptionally accomplished and skilled software engineer and passionate about building scalable, reliable, & high-performance distributed software services with a zest for a challenging work environment with high degree of responsibility. Proven record of successful work both independently and as a team member.

Overview

5
5
years of professional experience

Work History

Senior Software Engineer

LinkedIn
08.2021 - Current
  • Developed backend service to serve ads in video feed/chaining involving BMO filters, bidding, pacing, re-ranking and ad tracking
  • Developed distributed application software for job ingestion, job promotion & job distribution services
  • Enhanced job lifecycle management by designing & developing job suspension, job reingestion feature which reduced job recreation rate from 67.51% to 4.71%, DB inserts from 30.14% to 15.63%, increased Total Qualified Applications (QA) by +6.99%, Paid Job Chargeable views by +9.25%, Applies total chargeable by +9.09%
  • Investigated & enhanced GG replication lag in jobs DB which reduced the DB writes by 70% & lag was reduced from average of 5 min to < 5s & increased the job ingestion QPS by 23%
  • Led the design & developed the staffing customer basic job restriction feature spanning across job promotion, job search, job notification services which increased revenue from job slot by +35%
  • Investigated the bottlenecks & enhanced API close job flow from sync to async which reduced the p99 latency from 300 ms to < 50 ms
  • Designed & developed auto effective job field processor copy feature as part of scraped to API job migration to ensure data consistency & developed a deduper which prevented 206k duplicate job field processors from being copied
  • Led the design of enhanced local & global job deduper pipeline which reduced duplicate jobs by 43%
  • Developed a generalized A/B test framework utilizing the nearline & offline flow architecture to conduct A/B tests to gauge impact of onboarding segmented jobs
  • We added 1.5% SWI Quality Jobs (216K) which led to: 1.8% Jobs Sessions (0.12% Site Sessions), 1.1% Jobs WAU (0.11% Site WAU), 3.0% Job Views, 4.1% Applicants, 5.4% Job Applies
  • Investigated cross colo race conditions leading to job attributes inconsistency, designed a nearline flow leveraging CDC stream to alleviate it which reduced the inconsistency from 36% to less than 5%
  • Designed & developed job distribution pipeline providing a platform to promote job campaigns increasing the job weekly active users by +27%

Member of Technical Staff 2

VMware
07.2019 - 08.2021
  • Developed dataplane module for the NSX Edge gateway service using multithreaded lockless programming(Read Copy Update)
  • Developed optimized Receive side steering (RSS) module to load balance dynamically between CPU cores based on consistent hashing & also prioritize control traffic for high availability service. This increased the control traffic QPS by +23.8%
  • Developed distributed control flow cache to bypass the packet processing pipeline, accelerating the packet forwarding service & choose optimized route for multicast streaming using event driven architecture

Education

Master of Science - Computer Engineering

Arizona State University
Tempe, Arizona
05.2019

Skills

  • Java
  • MySQL, PostgreSQL
  • Cassandra, MongoDB
  • Redis, Couchbase, Memcached
  • Kafka, RabbitMQ
  • Apache Spark, Scala

Timeline

Senior Software Engineer

LinkedIn
08.2021 - Current

Member of Technical Staff 2

VMware
07.2019 - 08.2021

Master of Science - Computer Engineering

Arizona State University
Dheemanth Bykere Mallikarjun