• Led and architected Dynamic Creative Optimization (DCO) system for the OpenRTB bidding engine, spanning frontend, BFF, and backend model changes demonstrating full-stack ownership from UI to data layer with Rust(reqwest, Askama) which servers are Ad creatives within 150ms.

• Contributed to revenue improvement initiatives by creating data pipelines for product catalog optimization and automating business rules.

• Engineered a custom ultra-low-latency OpenRTB bidding engine in Rust, managing billions of ad requests efficiently.

• Enhanced client-side data integrity and conversion tracking across Shopify Web and Native Apps through a unified event tracking solution.

• Spearheaded the end-to-end development of Ads Data Manager(ADM), a cloud-based data onboarding and activation platform, integrating it into Amazon’s advertising ecosystem.

• Designed a secure and scalable system to handle petabyte-scale first-party advertiser data, implementing encryption, fine-grained access controls, and isolated data environments to ensure compliance and security.

• Designed and implemented an intuitive user interface and APIs that enabled seamless data ingestion from various sources, including UI uploads and integrations with data platform partners.

• Enabled interoperability within Amazon’s ad tech stack (DSP, AMC, etc.), facilitating audience targeting, measurement, and optimization by allowing advertisers to activate first-party data for advanced use cases.

• Automated infrastructure provisioning using AWS CDK, enabling secure, self-service deployments across multiple AWS accounts and regions, significantly reducing deployment time and complexity.

• Consolidated Amazon's Advertiser Data APIs into a single collection within ADM, providing functionalities such as dataset management, audience creation, sharing rules, and status reporting to streamline data operations for advertisers.

• Implemented an extensive telemetry system capturing behavioral metrics (feature usage, conversion funnel) and operational metrics (client-side latency, API latency, API errors) for deep observability and performance tracking.

• Developed a Backend-for-Frontend (BFF) middleware using GraphQL to stitch multiple APIs, enabling efficient data fetching and reducing over-fetching. This improved client-server communication and optimized API interactions for seamless advertiser workflows.

• Spearheaded the design and implementation of AI-powered anomaly detection interfaces, creating intuitive visualizations for complex machine learning outputs

• Developed innovative pattern recognition features that automatically analyze log data, implementing user-friendly interfaces for complex technical capabilities

• Engineered real-time streaming interfaces handling 10,000+ events/second while maintaining responsive user experience

• Created prompt optimization frameworks for automated alert generation and incident classification

• Utilized advanced WebSocket architecture and Web Workers to optimize performance under heavy computational loads

• Optimized dashboard rendering performance by reducing unnecessary re-renders using React Profiler, leading to a 30% improvement in load times.

• Established a standard of excellence across AWS Cloudwatch logs UI console by migrating all the different ways of authorization and fetching APIs to a perfect SDK model for all existing and new projects, which helped improve the security of AWS Console

• Contributed to AWS’s design system and CloudWatch components to ensure all UI components met 100% accessibility compliance (WCAG 2.0), improving usability for all users.

• Led accessibility enhancements, including keyboard navigation, ARIA roles, high-contrast themes, and screen reader optimizations, ensuring compliance with Amazon’s UX accessibility standards.

• Led the development of high-performance data analytics dashboards, focusing on rapid prototyping and iterative development

• Used Chrome DevTools to detect and fix javascript memory leaks in large-scale data visualization components, reducing memory consumption by 25%.

• Established and maintained a comprehensive design system using Atomic design principles, enabling faster prototyping and consistent user experiences.

• Implemented performance monitoring systems with well-defined SLIs, improving dashboard load times by 45%.

• Responsible for designing, developing, and maintaining Web UI Template library and UI components for the software applications developed by Dassault Systemes.

• Ensuring that all developments are fully compatible with Mobile and Touch device paradigm workflow in all Web User Interface Infrastructure.

• Ensuring the network performance of the platform web apps using Resource hinting, Tree shaking, compression, caching mechanisms, and improving the run time optimizations using web workers and SSR.

• Design and implement 2D and 3D user interfaces using JavaScript(canvas and three.js).

• Mentor and train other team members on how to efficiently use User Interface and tools Infrastructure.

• Extensive knowledge in the DevOps pipeline CD processes using GitLab, Docker, and Kubernetes to deploy quickly and efficiently to production and participate in code reviews of other developers’ work.

• Automated manual tasks (In-house SCM automation) to achieve 100% Continuous Integration in SOLIDWORKS web applications.

• Designed and Developed an Elastic stack dashboard to monitor QA Automation results, Statistical data (Merge Requests, No. of Commits, Pipeline, and Job-status) for development operations.

• Worked on a JavaScript Microservices Application called OpsBot (Operations Assistant Bot) using Node.js and Docker for GitLab branch deletion automation.