Overview
Work History
Education
Skills
Websites
Timeline
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Chandrasekar Venkat

New York City,NY

Overview

6
6
years of professional experience

Work History

Senior Software Engineer

LinkedIn
09.2022 - Current
  • Backend Engineer on both the LinkedIn Audience Network Team (LAN Team) and the Ad Formats Foundations Team (AFF Team), parts of LinkedIn’s Ads Serving Platform (ASP).
  • Developed a centralized Java-based ad format validation library and service that replaced scattered, inconsistent client checks with a plugin registry for dynamically loading format‑specific validators; leveraged gRPC/Protobuf for RPC, ParSeq for asynchronous orchestration—including parallel old vs. new validation flows—and feature‑flagged rollouts for safe deployments; and instrumented comprehensive metrics and logging for throughput, latency, and discrepancy alerts—reducing quarterly customer complaints by 20% and accelerating partner integration.
  • Tech Lead on the offline data working group focused on data processing optimization and compliance regulation, resulting in a 30% average reduction in runtime of offline flows.
  • Implemented multiple new ad formats to increase ad demand options and supply growth for our clients advertisements via OpenRTB 2.5 protocol, resulting in a $10M yearly revenue upside, increase in supply/demand match rate, and +35% campaign budget utilization.
  • Mentored new team members to onboard them onto the OpenRTB API and ASP/LAN Team tech stack.
  • Conducted 100+ technical interviews to top-tier candidates applying for Software Engineering roles.

Software Engineer

LinkedIn
02.2020 - 09.2022
  • Drove critical platform migrations (Pig → Spark, Samza 1.7, Gradle 6.0, LKC10+), reducing offline pipeline runtime by 50% (from 2–4 hrs to 1–2 hrs) and improving SLAs from daily to hourly for key flows.
  • Architected and led Rubicon ID Sync solution, enabling bidding on Rubicon web traffic (4B daily requests) and unlocking ~$850 K/day in incremental revenue.
  • Led the LAN Carousel Banner Ads design & rollout, boosting carousel‑ad supply and budget utilization to drive $60 M in FY 2023 revenue.
  • Served as go‑to POC and mentor for LAN offline flows—resolving on‑call escalations (VTR discrepancies, sampling changes), guiding interns and engineers through RFCs and release processes, and ramping up teammates on LinkedIn's metrics platform, compliance, and Spark/Scala best practices.

Software Engineer Intern

LinkedIn
05.2019 - 08.2019
  • Backend Engineer as part of the Ads Serving Growth Team focused on Lead Generation Forms.
  • Developed program that classifies advertisers’ questions by creating a Python app using Natural Language Processing (NLP) in order to increase advertising lead submission rate, resulting in overall decrease in cost per lead.

Education

Bachelors of Engineering - Computer Science

University of Michigan
12-2019

Master of Science - Computer Science

Georgia Institute of Technology

Skills

  • Java
  • Python
  • Apache Spark
  • NumPy
  • gRPC/REST
  • Ad Serving
  • Backend Development
  • Git

Websites

Timeline

Senior Software Engineer

LinkedIn
09.2022 - Current

Software Engineer

LinkedIn
02.2020 - 09.2022

Software Engineer Intern

LinkedIn
05.2019 - 08.2019

Bachelors of Engineering - Computer Science

University of Michigan

Master of Science - Computer Science

Georgia Institute of Technology

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Chandrasekar Venkat