Available to hire
Hi, I’m Dasari Surya Teja, a software engineer with 3+ years of experience in frontend development, AI, and machine learning. I build scalable apps and intelligent solutions using modern frameworks and AI/ML tools, focusing on seamless user experiences and high-performance products.
I thrive in collaborative environments, enjoy solving complex problems, and continually seek ways to optimize code quality, performance, and security.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Software Engineer at Capital One
January 1, 2015 - PresentDesigned and developed over 5 scalable microservices using Spring Boot, Apache Kafka, and PostgreSQL to improve system throughput and reduce downtime incidents by 40%. Built a high-performance React.js UI and implemented automated ETL/reporting workflows across 3 financial systems using Python. Refactored complex SQL queries and optimized indexing strategies, reducing query execution time by 50%, enabling faster API responses and improved user experience. Implemented secure authentication and authorization using OAuth 2.0, JWT, and RBAC, mitigating security vulnerabilities and ensuring compliance with financial regulations. Automated CI/CD pipelines with Jenkins, Kubernetes, and Docker, cutting deployment times by 25% and enabling seamless continuous integration and deployment (CI/CD). Developed and integrated RESTful APIs and GraphQL endpoints, improving data retrieval by 35% and reducing front-end API calls by 20% through batching and caching. Led code reviews and promoted best pract
Software Engineer at R-Financial
December 1, 2023 - October 14, 2025Designed, developed, and deployed 5+ enterprise-grade full-stack applications using Java, Spring Boot, and Angular, serving 50K+ daily users with 99.99% uptime. Refactored and optimized 100+ SQL queries, reducing execution times by 60% and enhancing database performance for high-traffic applications. Implemented GraphQL APIs in collaboration with front-end teams, reducing data over-fetching by 35% and improving mobile application performance. Automated CI/CD workflows using Jenkins, Terraform, and Docker, accelerating release cycles from 2 weeks to 3 days and reducing deployment failures by 70%. Implemented Redis caching mechanisms, reducing server load by 40% and improving application response times during peak usage hours. Conducted load testing and performance tuning, identifying bottlenecks and optimizing backend logic to handle 2x concurrent users. Designed and integrated a real-time notification system using WebSockets, enhancing user engagement and delivering updates with sub-se
Software Engineer at Capital One
January 1, 2015 - PresentDesigned and developed 5+ scalable microservices using Spring Boot, Kafka, and PostgreSQL, improving throughput and reducing downtime by 40%. Built a high-performance React UI and automated ETL/reporting across three financial systems using Python. Optimized SQL queries and indexing, reducing execution time by 50%. Implemented OAuth 2.0, JWT, and RBAC for secure authentication. Automated CI/CD pipelines with Jenkins, Kubernetes, and Docker, cutting deployment times by 25%. Developed RESTful and GraphQL APIs, improving data retrieval by 35% and reducing front-end API calls by 20% through batching and caching. Led code reviews to reduce bugs by 30% and enhanced logging/monitoring with CloudWatch, ELK, and Prometheus, reducing troubleshooting time by 50%.
Software Engineer at R-Financial
December 1, 2023 - October 14, 2025Designed, developed, and deployed 5+ enterprise-grade full-stack apps using Java, Spring Boot, and Angular, serving 50K+ daily users with 99.99% uptime. Refactored 100+ SQL queries, reducing execution times by 60%. Implemented GraphQL APIs to reduce data over-fetching by 35%. Automated CI/CD with Jenkins, Terraform, and Docker, shortening release cycles from 2 weeks to 3 days and reducing deployment failures by 70%. Implemented Redis caching, reducing server load by 40% and improving peak performance. Built real-time notifications via WebSockets and migrated legacy apps to AWS, cutting costs by 20%. Established ELK-based logging for faster error detection.
Education
Masters in Computer Science at Sacred Heart University
January 1, 2024 - March 1, 2025Bachelors of Computer Science at Gurukula Kangri Vishwavidyalaya
August 1, 2019 - May 1, 2023Masters in Computer Science at Sacred Heart University, Connecticut, USA
January 1, 2024 - March 1, 2025Bachelors of Computer Science at Gurukula Kangri Vishwavidyalaya, India
August 1, 2019 - May 1, 2023Qualifications
Industry Experience
Software & Internet, Financial Services, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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