5+ YoE software engineer specializing in large scale recommendation system and ads serving engine. Currently working on capacity planning @Meta, with a track record of delivering high-throughput distributed systems across Amazon Ads, AWS Marketing, and fintech

2026 — NowMetaPerformance & Capacity Engineer

2026 — Now

New York, United States

2022 — 2026Amazon Web Services (AWS)Software Engineer

2022 — 2026

New York, United States

AWS Applied AI Solutions:

1. Architected comprehensive search API system for Amazon Connect Cases using Elasticsearch with RESTful APIs, pagination, and throttling for enterprise-scale operations.

2. Implemented SharedWorker-based Cases UI with cross-application messaging and customizable component framework

Amazon Ads Conversational Ads Experience:

1. Led sponsored brand video advertising integration for Amazon Chatbot Rufus, implementing Ads serving workflow with unified creative system handling PDP and Store campaigns. Integrated with auction engine for real-time bid filtering and brand matching algorithms. Optimized end-to-end latency to sub-250ms SLA while handling millions of impressions.

2. Architected automated ads quality score refresh system using AWS Glue ETL, processing millions of campaigns daily with real-time scoring algorithms, reducing oncall manual review overhead by 80%.

AWS Marketing Platform:

1. Architected real-time user interaction tracking system serving millions of users across AWS Marketing Platform, processing 66K TPS peak throughput with sub-50ms response times. Built distributed streaming architecture using Apache Flink/Kinesis, DynamoDB with GSI, and ECS-based API service with event deduplication and exactly-once processing.

2. Launched Eligibility Service scaling to 100M+ users with intelligent diff-file processing using AWS Neptune, EMR Spark, and Kinesis streaming, reducing daily execution time to under 30 minutes.