Ayush Bhattacharya

About Ayush Bhattacharya

Accomplished Senior Software Engineer with 8 years of experience at Amazon, specializing in architecting highly scalable distributed systems infused with AI/ML. I bridge the gap between production engineering and machine learning, leveraging LLMs and online optimization to solve complex challenges in content personalization and data validation.Key AI/ML contributions include:Personalization Architecture: Architected a novel system utilizing in-house optimization models to close critical gaps in Amazon’s infrastructure, leading a team to launch 3 hyper-personalized experiences on the Product Detail Page.Generative AI Pipelines: Led the architecture for ML-generated visual content pipelines (e.g, Lifestyle Imagery, zoomed-in annotations) to enhance customer decision-making.LLM Integration: Integrated LLM-based services for automated catalog schema validation, reducing deployment times by 1 week and eliminating manual review bottlenecks.Strategic Roadmap: Partnered with product leaders to define AI-driven roadmaps for emerging marketplaces, including GenAI integrations (e.g, Claude) on high-traffic surfaces.Ethical AI & Privacy: As a Privacy Bar Raiser, pioneered automation strategies across 350+ services to ensure secure and compliant ML deployments.Technical Expertise:I possess strong proficiency in Java, Python, and AWS serverless architectures (Lambda, Step Functions, SageMaker, ECS Fargate, Athena). Through the DeepLearning.AI specialization, I have built a solid theoretical foundation in Neural Networks, CNNs, Transformers, and Sequence Models. I am deeply passionate about applying these concepts to engineering problems and am actively seeking to further advance my theoretical depth in Artificial Intelligence.

Experience

1. Senior Software Engineer

   Amazon

   Mar 2022 — Present · Bengaluru, IN

   Personalization System Enhancement: Architected and proposed a novel content personalization system leveraging existing optimization services to address critical architectural gaps; influenced roadmap and guided implementation by a team of 7 engineers. Catalog Federation & Schema Management: Led a team of 5 engineers to federate Amazon\'s product catalog schema, reducing new attribute creation time from 12+ months to 1 week by enabling self-service management. Catalog Federation & Schema Management: Architected and implemented the Change Impact framework using AWS Glue, Step Functions, S3, and Athena for automated dependency analysis and schema change impact reporting. Privacy Compliance Automation: Defined organization-wide Privacy compliance strategy and led initiatives automating compliance for 350+ services across 8 VP organizations as the sole Privacy Bar Raiser for International Emerging Stores. Consulting & Additional Contributions: Provided architectural guidance on leveraging LLMs (e.g, Claude) for customer-facing experiences like Amazon Search education and revamped product titles.

Education

• Delhi Public School - R. K. Puram

  Computer Science

  1999 — 2013

• Shiv Nadar University

  Bachelor of Technology (BTech), Computer Engineering

  2013 — 2017

Skills

• Scipy
• Spring Framework
• Data Analytics
• Android Development
• R
• Singer-Songwriter
• Google Cloud Platform
• C
• Microsoft Office
• Machine Learning
• Flask
• Guitar Playing
• Java
• Software Development
• Python
• Latex
• Leadership
• Singing