Ankit Agarwal

About Ankit Agarwal

I am a Staff Engineer with 13+ years of experience architecting and scaling distributed systems across LinkedIn, Razorpay, Ola, and Flipkart.At LinkedIn, I serve as a technical leader within Trust Engineering, defining multi-quarter technical vision and platform strategy to safeguard 900M+ members. I have led the architecture and evolution of large-scale moderation and appeals platforms, focusing on scalability, reliability, abuse prevention, and operational efficiency at internet scale. My work drives cross-functional execution across engineering, product, data science, and AI teams.I am actively leading GenAI adoption within Trust, designing agentic AI workflows and AI-driven triage systems to proactively detect, prioritize, and mitigate account abuse at scale.My experience spans distributed data pipelines, real-time stream processing, fraud and risk engines, and large-scale marketplace and payments platforms. I have built and operated high-throughput systems leveraging Kafka, Storm, Spark, HBase, Elasticsearch, Pinot, Temporal, Redis, and MapReduce, with a strong emphasis on system design, scalability, and resilience.Outside of my core roles, I build products end-to-end, including a hyperlocal book-sharing marketplace (Infilen), a location-based social discovery platform (Lossip), a digital loyalty platform (Wapas Aao), and an Android game (Flyball). These projects reflect my ability to take products from idea to production, applying strong system design fundamentals with pragmatic product execution.I also mentor engineers progressing toward Senior and Staff roles, focusing on architectural depth, technical strategy, and high-leverage execution.I am particularly interested in building resilient, scalable, AI-native platforms that combine distributed systems expertise with emerging GenAI capabilities.

Experience

1. Staff Software Engineer

   Linkedin

   Apr 2023 — Present · Bengaluru, IN

   Own architectural strategy for AI-driven Trust and Abuse platforms protecting hundreds of millions of members.• Set technical direction for a GenAI-powered Account Abuse Triage platform (LangGraph), leading a cross-geo team across Backend, DS, and AI/ML. Reduced investigator effort by 30% while maintaining <5% classification error rate, establishing reusable AI workflow foundations.• Defined the multi-quarter roadmap for the Abuse Intelligence Platform, evolving it into a self-serve, pluggable detection framework (Temporal-based). Improved recall by 10% and investigator efficiency by 15%.• Led architecture of a high-scale Appeals Platform processing 500K+ appeals/week, designing extensible workflow abstractions to support rapid onboarding of new content surfaces.• Built a real-time analytics and allocation pipeline (Kafka, Samza, Pinot) to optimize investigator bandwidth and enable data-driven operational planning.

Education

• Indian Institute of Technology, Roorkee

  B.Tech. & M.Tech. (Integrated Dual Degree), Computer Science and Engineering

  2007 — 2012

Skills

• C++
• Jquery
• Eclipse
• Mysql
• Cloud Computing
• Spring
• Hbase
• Java
• Oozie
• Rabbitmq
• Apache Phoenix
• Ruby on Rails
• Software Development
• Python
• Apache Kafka
• Gwt
• Tomcat
• Dropwizard
• Gradle
• C
• Jsp
• Algorithms
• Apache Storm
• Hazelcast
• Restful Webservices
• Git
• Ajax
• Android Development
• Mapreduce
• Osgi
• Servlets
• Databases
• Javascript
• Elasticsearch
• Maven
• Sqlite
• Agile Methodologies
• Data Structures