Ayaan Khan

Aligarh, IN

• Led architecture design, release planning, and code review standards across the engineering team.

• Architected heuristic-driven and LLM-assisted auto-healing engine for selector-based web flows; designed a deterministic heuristic layer (Levenshtein, cosine similarity, spatial proximity) with selective LLM fallbacks to minimize LLM costs.

• Designed scalable, fault-tolerant and event-driven multi-stage distributed execution pipeline that normalized heterogeneous CI/CD triggers into a unified contract; implemented queue-based isolation, priority scheduling and dead-letter retries to route workflows to isolated AWS ECS, Device Farm.

• Refactored a monolithic web-only executor into a unified, cross-platform executor (Web, Mobile, API) using registry, inversion and strategy patterns and shared runtime context to enable mixed-platform workflow execution with zero tightly coupled logic, along with independent listeners that process logs for database persistence.

• Engineered a custom nested parser and interpolation engine to support complex, data-driven automation; built evaluation algorithms that dynamically resolve variables, generator functions, and tabular data (CSV/Excel) during workflow execution.

• Engineered a secure Identity & Access Management (IAM) system alongside a resilient, real-time usage-based billing and metering pipeline integrated with Stripe; automated consumption tracking and subscription tier enforcement to manage SaaS API quota limits.

• Engineered automated multi-platform CI/CD pipelines using GitHub Actions to package, code-sign, and publish desktop builds (macOS/Windows/Linux) integrated with client-side auto-updaters, and deploy containerized microservices to AWS EC2 and ECR.

Aligarh, IN

• Architected and developed high-throughput data ingestion pipelines and data analytics platform, improving data processing reliability across the core CRM.

• Led system-wide performance optimizations across a distributed microservices architecture, implementing caching mechanism and edge distributed caching using AWS CloudFront to reduce page load times by 85%.

• Engineered automated cloud infrastructure provisioning pipelines using AWS EC2, Lambda, SQS, SNS, and API Gateways, reducing deployment times and enabling automated, rapid onboarding for enterprise clients.

• Directed architecture-level efficiency initiatives and resource consolidation, resulting in a 70% reduction in monthly cloud infrastructure spend.

Bristol, England

• Worked within the Amazon IMDb data coverage team on large-scale data integrity.

Remote

• Engineered a serverless full-stack web application comparing nationwide utility prices, utilizing AWS (API Gateway, DynamoDB, Cognito) for secure backend APIs and implementing graph algorithms to dynamically render JSON-driven forms.

Developed a monolithic x86 (IA-32) operating system kernel, implementing low-level systems programming concepts including interrupt handling (IDT/PIC), virtual memory management, multitasking, system calls, DMA, and device drivers for PCI, keyboard, and VGA display.

Patched framework-level UI and Material Design bugs, notably implementing optimizations for Material Design swatch color comparisons (MaterialColor Swatch Map) and resolving widget-rendering edge cases.

Contributed low-level computational geometry and spatial indexing optimizations, resolving boundary calculations and polygon intersection edge cases in the C++ Boost library.

Patched core routing mechanisms, template compilation rules, and server thread lifecycle behaviors to prevent connection leaks and uncaught exceptions in high-throughput C++ microservices.

Developed and optimized fundamental computer science algorithms in C++, Java, and JavaScript; mentored first-time contributors and reviewed over 100 pull requests for code quality, optimization, and style correctness.