• Refactored the legacy COVIDHM R package to modernize the epidemiological simulation library, contributing to a 42% reduction in overall runtime.

• Developed autonomous tracing workflows utilizing 1-hop and 2-hop network data for effective quarantine decisions.

• Integrated PRINCE scoring into the data pipeline to prioritize individuals and mitigate super-spreader events.

• Designed simulations demonstrating a 75% reduction in unnecessary quarantines while ensuring viral control.

• Migrated 250+ legacy Linux shell scripts into a modular, containerized Python framework, improving maintainability by 60%

• Built a custom DSL using Parsley grammar with JSON-based rule mapping, enabling 100% business-rule configurability by non-engineers and cutting merchant onboarding time by 50%

• Engineered a high-throughput Python + PySpark pipeline processing 10M+ global transactions daily from AWS S3, reducing reconciliation latency by 45%

• Developed a regex-driven dispatch engine to auto-route file transformations, eliminating 70% redundant code and accelerating new merchant integrations by 40%

• Implemented a zero-downtime parallel validation architecture, achieving 100% data integrity during migration and preventing financial reporting discrepancies

• Containerized the end-to-end system with Docker and production-grade monitoring, reducing Mean Time to Detection (MTTD) by 40% and improving deployment consistency across environments

• Engineered responsive landing pages and MVPs for startups using React.js and Tailwind CSS, ensuring cross-browser compatibility.

• Authored comprehensive technical specifications and API documentation, facilitating communication between technical and non-technical stakeholders.

• Created over 50 technical articles on Cloud Architecture, enhancing client brand authority and reaching an audience of 50K+ readers.