Available to hire
I am a passionate Software Engineer specializing in building scalable, high-availability trading, risk, and transaction platforms. I enjoy transforming complex requirements into robust backend services and intuitive front-end interfaces, always aiming for performance, reliability, and developer happiness.
I thrive in cross-functional teams, love cloud-native architectures, and continually explore AI-assisted tooling to boost code quality, observability, and automation across the software lifecycle.
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Language
English
Fluent
Work Experience
Software Engineer at PayPal
January 1, 2025 - PresentDesigned and implemented backend services using Java (Spring Boot), REST APIs, PostgreSQL, and Redis to support real-time transaction processing across consumer banking platforms, improving throughput and stability during peak load periods. Led cloud modernization migrating legacy Java applications to AWS (EC2, EKS, S3, RDS, IAM) using Docker and Kubernetes, reducing infrastructure operating costs by $2.4M annually and strengthening deployment consistency across multi-region environments. Architected distributed event-driven systems using Kafka, gRPC, and microservices architecture, eliminating 11,000+ daily processing failures and improving resiliency during high-volume payment and settlement windows. Developed modern front-end interfaces using React, TypeScript, Next.js, and Tailwind CSS, building responsive dashboards for trading and risk teams while improving page load performance. Built low-latency risk and settlement services integrating Java with Rust-based modules, reducing end
Software Engineer at Goldman Sachs
February 1, 2021 - January 1, 2024Managed core backend services in Java for trading and risk systems, scaling the order processing pipeline to handle 18,000 requests per minute and keeping end-to-end trade-acknowledgement latency below 120 ms during market hours. Programmed React micro-frontends for portfolio and execution tools, reducing analyst workflow steps from 9 to 4 and cutting average time to generate client reports by 2 minutes. Engineered resilient APIs with Java Spring Boot and Node.js, adding regional routing and circuit breakers to preserve data integrity across 3 continents and ensure uninterrupted data delivery during peak loads. Reworked legacy valuation modules in C++ and C#, refactoring compute-heavy routines to reduce memory footprint by 700 MB and bringing nightly valuation failures down to single-digit occurrences per month. Automated operational runbooks with Python for log analysis, environment validation, and anomaly detection, reducing mean-time-to-detect incidents by 45 minutes and improving o
Education
Master of Science in Computer Science at State University of New York at Buffalo
January 11, 2030 - April 7, 2026Master of Science in Computer Science at State University of New York at Buffalo
January 11, 2030 - April 7, 2026Master of Science in Computer Science at State University of New York at Buffalo
January 11, 2030 - April 7, 2026Qualifications
Industry Experience
Software & Internet, Financial Services, Professional Services
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