Available to hire
I am a results-driven software engineer with 4+ years of experience designing and delivering cloud-native microservices, distributed systems, and high-availability platforms across financial and enterprise domains. I specialize in Java, Python, Spring Boot, AWS, Azure, Kubernetes, and AI/ML integration to improve scalability, reliability, and deployment velocity.
I enjoy building AI-powered solutions and enterprise DevOps pipelines that enhance operational efficiency and accelerate business outcomes, with a track record of delivering cost savings through automation and optimization.
Skills
Language
English
Fluent
Work Experience
Software Engineer at Goldman Sachs
May 1, 2024 - PresentArchitected and delivered a cloud-native microservices platform using Java, Spring Boot, AWS, and Kubernetes, processing 5M+ transactions/month with 99.99% availability and enterprise-grade resiliency. Designed and deployed 12+ scalable APIs for 100K+ daily users, achieving a 40% latency reduction through caching and asynchronous processing. Implemented an event-driven architecture with AWS SQS to improve peak scalability by 3x and reliability for high-volume financial systems. Led AI-driven fraud detection pipelines in Python, improving detection accuracy by 28% and reducing manual investigations by 70%. Established enterprise CI/CD pipelines with Jenkins, Docker, and Kubernetes, enabling faster releases and 99% deployment success.
Full Stack Software Engineer at LTI Mindtree
April 1, 2021 - July 1, 2023Engineered 20+ production-grade RESTful APIs using Python (FastAPI/Flask) and Microsoft Azure, supporting mission-critical workloads with 99.9% uptime and scalable cloud architecture. Led modernization of legacy monolithic systems into microservices, boosting platform scalability by 60%, reducing production incidents by 35%, and accelerating feature delivery. Built high-performance React-based web applications with reusable components, increasing user productivity by 30% and reducing customer support tickets by 25%. Implemented Redis caching and database performance optimizations, reducing database load by 80% and improving latency by 25%. Automated cloud provisioning and CI/CD pipelines using Azure DevOps and Infrastructure-as-Code, processing 2.5M+ events/month, reducing release cycles by 50%, and saving 11+ engineering hours weekly. Built AI-driven anomaly detection and predictive monitoring solutions, improving monitoring accuracy by 30% and reducing production defects by 40%.
Education
Master of Science in Computer Science at University of South Florida
January 11, 2030 - March 17, 2026Bachelor of Science in Computer Science and Engineering at SRKR Engineering College, Andhra Pradesh, India
January 11, 2030 - March 17, 2026Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services
Skills
Hire a Full Stack Developer
We have the best full stack developer experts on Twine. Hire a full stack developer in Tampa today.