Maanvi

Software Engineer with 4+ years building and scaling cloud-native, distributed backend systems across e-commerce, cloud infrastructure, and financial services. Delivered measurable performance gains at enterprise scale, including a 700% IOPS increase (up to 250,000 IOPS), 10 GiB/s throughput, 25% latency reduction, and 99.9%+ uptime in production. Skilled in Python, Java, REST/gRPC APIs, microservices architecture, and CI/CD automation, with hands-on experience across AWS, GCP, and Azure.

AWS Certified Solutions Architect and Google Cloud Certified Machine Learning Engineer, with a proven record of leading code reviews, mentoring peers, and partnering cross-functionally in Agile environments. Combines strong systems-design fundamentals with applied machine learning experience in production systems.

Software Developer - Wayfair - NJ, USA

(2024-11)

• Optimized a GCP-based cloud-native backend serving 3D spatial assets by implementing distributed caching and CDN tuning, cutting asset-loading latency 25% for global users.
• Resolved object-placement issues in AR environments by refining spatial mapping logic in Python and TensorFlow, leveraging scene-depth estimation to improve visual realism.
• Streamlined the image-processing pipeline by migrating heavy computations to asynchronous task queues, delivering a seamless, responsive "try-on" experience under peak traffic.
• Architected and deployed REST services to synchronize user-generated room metadata across distributed edge nodes, eliminating synchronization errors and ensuring data consistency.
• Partnered cross-functionally with product, design, and QA in an Agile/Scrum environment, driving code reviews and on-call rotations that sustained operational excellence for production AR/VR services.

Software Development Engineer - Amazon Web Services - NY, USA

(2023-07 - 2024-08)

• Engineered enhancements to AWS Elastic File System (EFS) as both an individual contributor and team collaborator, increasing IOPS 700% (up to 250,000 IOPS) and enabling 10 GiB/s throughput for large-scale applications.
• Redesigned core distributed storage components to eliminate critical performance bottlenecks, improving storage efficiency and reliability for large-scale, multi-tenant workloads.
• Built automation tools and CI/CD pipelines that cut testing time by 75%, and led 200+ code reviews that improved application performance by 15%.
• Applied distributed systems design patterns to build fault-tolerant, horizontally scalable storage components supporting multi-tenant workloads across availability zones.
• Monitored production services via CloudWatch and internal observability tooling, resolving performance bottlenecks to sustain 99.9%+ availability.

Software Developer - Bank of America - NJ, USA

(2022-08 - 2023-07)

• Designed and developed secure, scalable backend services in Python, Django, and SQL Server, supporting high-availability systems for internal banking operations.
• Implemented OAuth-based authentication that reduced unauthorized access by 35%, and automated CI/CD pipelines that cut deployment time by 40%.
• Built and maintained mobile-facing components in Objective-C, integrating with backend APIs and encrypted data channels to deliver reliable, secure transaction workflows for financial-services users.
• Leveraged established design patterns in Agile ceremonies and peer code reviews, reducing technical debt and improving maintainability across a team-owned microservice.
• Collaborated with QA and compliance stakeholders to validate secure data handling, reducing production defects prior to release.

Programmer Analyst Trainee - Cognizant - India

(2020-12 - 2021-08)

• Built responsive, cross-device user interfaces that enhanced the experience for 25,000+ users.
• Implemented CI/CD pipelines and automated deployments, reducing release cycle time by 30%.
• Collaborated with senior engineers and QA in an Agile/Scrum team to translate business requirements into technical specs and test cases.
• Wrote unit and integration tests that improved code coverage and caught regressions before release, reinforcing production stability.
• Documented technical designs and onboarding materials to support knowledge transfer within a distributed development team.

Master - Computer Information Systems & IT - United States (2021-08 - 2022-12)

Bachelor of Technology - Electronics and Communication Engineering - India (2016-08 - 2020-10)