Rishabh Dutta

About Rishabh Dutta

Software Engineer with extensive experience building large-scale distributed systems and AI solutions. Currently at Amazon Ads, architecting high-throughput systems and driving significant revenue growth through innovative ad delivery platforms. Previously led ML operations at BioSensics, developing medical imaging pipelines and optimizing model training workflows. Passionate about solving complex engineering challenges through cloud-native architectures and automation. Master\'s in Computer Science from Northeastern University, focused on distributed systems and machine learning.Technical skills: Programming Languages: Java, Python, C++, JavaScript, SQL, C#, Ruby, TypeScript Cloud Computing: AWS, Load Balancers, Elasticache, EC2, ECS, Dynamo DB, VPCs, Cloud Formation, CDK, DNS Resolvers, Route 53, SNS, SQS, S3, Lambda Database: PostgreSQL, NoSQL, Parquet, MySQL, Redis, Big Query Frameworks: gRPC, SpringBoot, Microservices, MERN stack, Protobuf, Django, MLOps, Jenkins, TensorFlow Web: REST API, React, Redux, Typescript, Node JS, Express JS, HTML, CSS, ES6, jQuery, Bootstrap, Material UI, JSON, XML Tools: Github, Jira, Docker, Kubernetes, AWS, GCP, Azure, Kafka

Experience

1. Software Engineer

   Amazon

   Sep 2022 — Present · Seattle, WA, US

   Orchestrated cross-regional migration of ads service, implemented GDPR compliance requirements & collaborated org-wide to ensure zero-downtime transition increasing availability by 15% & improving future scalability (AWS, Cross team collaboration) Designed & delivered advertiser-focused negative keyword service increasing ad campaign ROI by 22% through efficient trie-matching of queries & asynchronous processing of requests, handling 250K+ TPS with sub-10ms latency (Java, RESTful APIs) Engineered real-time budget invalidation for ads reducing out of budget costs by 77% & delivering $7.7M in yearly savings through intelligent cross-service integration and data caching strategies (Java, SQS, SNS, ElastiCache) Designed & implemented centralized caching solution for ad data, optimizing host memory utilization by 30%, reducing deployment cycles by 20 minutes per host, & reducing ops burden by resolving data integrity issues (Java, SQS, Elasticache) Led & delivered revenue critical project to refine ad targeting based on customer-chosen filters for search queries on Amazon.com generating $15+ M in revenue (Java) Implemented priming call to ad serving system, enabling faster ad selection by pre-fetching only relevant ad data, processing and caching data for original call to our service thus reducing latency & enabling additional revenue projects (Java, Protobuf)

Education

• Manipal Institute of Technology

  Bachelor of Technology - BTech, Computer and Communication

  2013 — 2017

• Northeastern University

  Master's degree, Computer Science

• Don Bosco School

  High School, Computer Science

  2000 — 2013

Skills

• Microsoft Office
• Wireshark
• Java
• Windows
• Linux
• Python
• Powerpoint
• Microsoft Excel
• C++
• Microsoft Word
• Data Mining
• Networking
• Html
• Graphic Design
• Ccna
• Internet Protocol Suite (Tcp/Ip)
• C
• Programming
• Ethernet