Jul 2023 – Present · 2 yrs 10 mos

• Architected an Cloud storage cleanup framework, reducing cloud storage costs by 2% across AWS S3, NAS, and Azure Blob Storage.
• Resolved latency and memory bottlenecks in core services by implementing a Rate Limiter, improving request throughput by 25%.
• Engineered an automation process that accelerated backend task throughput by 17% across 3 teams.
• Mentored 3 junior developers, reducing onboarding time by 30% and raising code quality via pair code reviews and workshops.

Jan 2023 – Jun 2023 · 5 mos

• Designed and deployed modular config agents, enabling dynamic customer-specific automation with 22% faster onboarding.
• Implemented scalable reporting services, improving report generation time by 30% and enabling 5+ data views.
• Delivered multi-tenant services for internal tools, ensuring 99.9% uptime under 2K+ concurrent users.

Jul 2021 – Dec 2022 · 1 yr 5 mos

• Integrated Rivana-as-a-Service with REST APIs handling ~5K peak QPS, reducing payload latency by 18%.
• Built a multi-format remittance data extractor, increasing the capture rate of non-standard remittance formats by 40%.

Sep 2020 – Jun 2021 · 9 mos

• Developed and maintained functionality to support remittance data extraction from multiple file formats obtained from sources like SFTP and Email leading to an increased overall data capture rate.
• Designed and implemented a framework to capture multiple remittances out of a single image file.
• Implemented Rivana as a Service(RaaS) to send required parameters using REST-API.

Jul 2019 – Aug 2020 · 1 yr 1 mo

• Created data mining architectures and models to identify trends in large data sets.
• Created data visualization graphics, translating complex data sets into comprehensive visual representations.
• Translated cost and benefits of machine learning technology for non-technical audiences.