Available to hire
Software Engineer specializing in AI-driven systems with 3+ years of experience building scalable microservices, machine learning pipelines, and cloud-native applications. I work across backend and full-stack development using Spring Boot, FastAPI, and modern AWS-based architectures.
I focus on delivering measurable impact by optimizing performance, security, and deployment efficiency—building secure API integrations, distributed systems, and CI/CD workflows. I also develop NLP/ML capabilities and deploy model-serving services in production-ready, fault-tolerant environments.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Advanced
Work Experience
Software Engineer, AI at Capital One
January 1, 2025 - PresentArchitected scalable microservices integrating Spring Boot and FastAPI for AI-driven workflows, enabling real-time inference pipelines that improved decision latency by 35%. Designed end-to-end machine learning pipelines using Scikit-learn, Pandas, and NumPy, increasing prediction accuracy by 27% through feature engineering, cross-validation, and hyperparameter optimization. Implemented secure API gateway integrations using OAuth 2.0 and JWT, reducing unauthorized access incidents by 40%. Containerized AI services with Docker and deployed using Kubernetes on AWS ECS, decreasing release cycles by 45% while maintaining high availability. Optimized PostgreSQL and Redis caching strategies to reduce query response time by 38%.
Full Stack Software Developer at Aspire Technolab
January 1, 2021 - June 30, 2023Developed responsive web applications using React, Angular, and Redux integrated with Spring Boot services, improving user engagement by 30% via enhanced frontend performance. Engineered RESTful and GraphQL APIs using Node.js and Java-based services, reducing API response latency by 32%. Designed relational and NoSQL database schemas across MySQL and MongoDB, improving consistency and reducing query execution time by 28% through indexing and normalization. Automated CI/CD pipelines using Jenkins and Docker, accelerating deployment frequency by 40% with integrated testing and continuous monitoring. Built modular microservices and event-driven backend services to improve scalability and reduce downtime by 25% during high-traffic workloads.
Education
Master’s in Computer Science at University of Central Missouri
August 1, 2023 - May 31, 2025Bachelor’s in Computer Science at Sathyabama Institute of Science and Technology
June 1, 2019 - May 31, 2023Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Financial Services
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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