Abhijeet Kumar

Adobe Advertising

• Processing billions of pixels daily from the CDN network, ensuring low latency and high throughput.
• Developed framework to generate different kinds of custom reports.
• Powering UI to display graphs on historical data by writing sub second queries.
• Created a framework that manages the rule engine and performs queries to detect anomalies in the pipelines.
• Transferred legacy Druid pipelines to new features, allowing the Druid cluster to manage tasks autonomously using the supervisor feature
• Collaborating with cross-functional teams to enhance system functionality.
• Utilizing big data technologies and cloud platforms to handle large-scale data effectively.

• Garbage Collection optimization & several other performance enhancements for the system that serves more than 20 million transactions per minute.
• End to end delivery of "Centralized Auditing" for a platform that serves requests from cart and checkout
• Server cost reduction activities
• Delivered business initiatives like "Subscription Eligibility", "Substitution Eligibility", "Alcohol delivery & Restrictions"
• Delivered batch Spark jobs for different technical use cases
• Got Bravo Award couple of times and also received Team's Award

• Delivered E2E autocomplete module for question suggestion & entity suggestion similar to Google search suggestion
• Delivered E2E auditing module for auditing ingestion
• Delivered solutions to materialize Wikipedia Infobox in distributed graph database.
• Delivered rule engine on top of Graph database, so the knowledge in the graph expand automatically
• Delivered solutions for integrating cloud storage SDKs with the platform (Box, Dropbox, Onedrive, Sharepoint, etc.).
• Solved multi-tenancy problems in Graph database (Janusgraph)
• Contributing in designing NoSQL database schemas.
• Managing graph database and the indexing patterns for faster traversal.
• Contributed in designing event driven microservice architecture and developed it from scratch for huge loads.

• Delivered many POCs for new initiatives based on AI, Big data and blockchain.
• Worked on comparing different opensource tools to choose the right option for the business
• Worked on Schema Registry for data governance
• Delivered many Spark batch and real time jobs for renowned telecom company of India.
• Worked on tuning distributed systems to get the best out of it
• Delivered solutions for preprocessing sentences before ingesting it into AI based platform. I used NLTK, Stanford Parsers, NER, Co-reference resolution, few rule-based logics.