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Saikiran Korla - Software Engineer

[email protected]

Location: Dayton, Ohio, USA

Relocation: Anywhere in USA

Visa: OPT EAD and also eligible for 2 years STEM Extension

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Saikiran Korla Software Engineer | Java, Spring Boot, AWS | FinTech & Cloud Systems Specialist Dayton, OH (Open to relocate) | +1 (513) 360-8632 | [email protected] | LinkedIn SUMMARY Software Engineer with over 5 years of experience building and deploying secure, scalable systems across FinTech and cloud-native environments. Designed and optimized Java/Spring Boot and microservices architectures on AWS supporting 1M+ users and processing 2M+ daily transactions. Prepared RESTful API development, event-driven systems, CI/CD automation, and Angular-based frontends. Implemented Python and knowledgeable in C/C++, MATLAB, and real-time signal/data processing for high-performance applications. Improved system performance by up to 40% through cloud migration and latency reduction initiatives. Strong background in PCI DSS and HIPAA compliance, with a consistent record of delivering reliable solutions in agile teams. TECHNICAL SKILLS Programming & Frameworks: Java, Python, JavaScript, TypeScript, Spring Boot, Spring Security, Hibernate, Django, Node.js, Angular, React.js Cloud & DevOps: AWS (EC2, S3, RDS, Lambda, DynamoDB, IAM, CloudWatch, API Gateway, SNS, SQS), Docker, Kubernetes, Terraform, CloudFormation, Jenkins, GitHub Actions Backend & API Development: RESTful APIs, GraphQL, Microservices Architecture, WebSockets, API Gateway, OAuth 2.0, JWT Signal Processing & Embedded Development (New): MATLAB (algorithm prototyping), Digital Signal Processing (DSP) fundamentals, Radar signal/image processing concepts, Sensor fusion, Real-time data processing, Embedded systems programming, Automated analysis and verification frameworks AI & Gen-AI Skills: LLM Integration (OpenAI, HuggingFace), Prompt Engineering, RAG Pipelines (FAISS/Pinecone), ML Basics (Scikit-Learn, TensorFlow Lite), AI Automation (classification, summarization), Model Inference & Deployment (FastAPI, Docker), AI Evaluation & Monitoring Databases & Data Engineering: PostgreSQL, MySQL, MongoDB, Oracle, Redis, Apache Kafka, Snowflake, SQL Analytics, Pandas, NumPy, Power BI Security & Compliance: OAuth 2.0, JWT, CSRF, CORS, TLS/SSL, PCI DSS, HIPAA, Secure Coding Practices, Role-Based Access Control (RBAC) Testing, Monitoring & Automation: JUnit, Mockito, PyTest, Selenium (Basic), Postman, Swagger, ELK Stack, Prometheus, AWS CloudWatch Agile & Collaboration: Scrum, Sprint Planning, Code Reviews, Pair Programming, JIRA, Confluence EXPERIENCE Capital One, USA | Software Engineer Aug 2024 Present Prepared and developed 20+ RESTful APIs with Java (Spring Boot, Hibernate) and Node.js, enabling secure handling of 2M+ daily transactions while ensuring PCI DSS compliance. Automated provisioning of 50+ AWS resources (EC2, RDS, Lambda, DynamoDB, API Gateway) using Terraform and CloudFormation, cutting environment setup time from 2 days to 3 hours ( 40% faster deployment). Engineered event-driven microservices with Apache Kafka and WebSockets, reducing transaction latency by 25% and improving real-time transaction throughput for 1M+ active users. Built and integrated React.js dashboards with Power BI for financial reporting, improving access to insights by 30% and reducing manual data analysis time by 15 hours/week. Integrated LLM APIs (OpenAI, HuggingFace) into internal developer tools to automate log summaries, exception explanations, and code review suggestions, reducing debugging effort by 15% for the engineering team. Built a lightweight RAG-based assistant using FAISS to help developers quickly find API docs, architecture references, and onboarding materials. Enhanced CI/CD pipelines with Jenkins, GitHub Actions, and Docker, reducing deployment time from 60 minutes to under 30 minutes ( 50% faster) and improving release reliability. Implemented monitoring and alerting with CloudWatch, ELK Stack, and Prometheus, decreasing incident resolution time by 35% and achieving 99.99% uptime. Collaborated with cybersecurity teams to conduct quarterly vulnerability assessments, reducing critical security incidents by 20%. Conceptualized modular code libraries, enhancing data processing speeds by 4x using radar signal processing methods; personally fixed 100+ critical bugs in the data processing pipeline. Hexaware Technologies, India | Software Engineer Oct 2021 Jul 2023 Migrated 10+ legacy monolithic applications to cloud-native microservices on AWS, improving system scalability and achieving 99.99% uptime across production systems serving 500K+ users. Built a lightweight RAG-based search feature using embeddings (FAISS) that helped developers retrieve code snippets, API specs, and design docs in seconds, cutting lookup time by 20% and improving onboarding for new team members. Planned and optimized REST APIs with Spring Boot & OAuth 2.0, improving response times by 40% & supporting 100K+ concurrent API calls daily. Computerized infrastructure provisioning and deployments with Terraform, Kubernetes, and Jenkins, reducing release cycles from 3 weeks to 5 days ( 65% faster). Integrated LLM APIs (OpenAI) into internal tools to automate log summarization and ticket classification, reducing triage time for support teams by providing instant root-cause insights. Integrated Apache Kafka with Snowflake to enable real-time fraud detection, cutting fraudulent transactions by 15% annually. Delivered React.js dashboards for order tracking & inventory management, reducing manual processes by 30% and saving 20 staff hours per week. Created Python and Bash automation scripts, eliminating 150+ hours of manual work per quarter in log analysis and system maintenance. Developed modular code libraries with clear documentation and launched automated validation tools for large data pipelines, applying high throughput processing methods inspired by real-time multi-sensor workflows. Byte Mind Technologies, India | Associate Software Engineer Jan 2019 Sep 2021 Created secure RESTful APIs with Java Spring Boot for healthcare systems, ensuring compliance with HIPAA and FHIR standards while supporting 50K+ patient records. Improved React.js front-end components with TypeScript, HTML5, and CSS3, improving load times by 20% and enhancing user experience for 10K+ active users. Designed and deployed scalable microservices with Docker and Kubernetes, improving fault tolerance and achieving 99.95% availability. Managed 30+ AWS resources (EC2, RDS, S3, Lambda, DynamoDB) via Terraform, reducing cloud infrastructure costs by 15%. Conducted system performance tuning and load balancing, supporting 2x traffic spikes without downtime. Documented 20+ APIs and 5+ cloud architectures, reducing onboarding time for new developers by 25%. Integrated live data-stream processing components and sensor-fusion-style aggregation logic to enhance healthcare analytics performance. EDUCATION University of Dayton, Ohio, USA Master of Science in Computer Science Anil Neerukonda Institute of Technology & Sciences (AU), Visakhapatnam, Andhra Pradesh, India Aug 2023 May 2025 Aug 2017 Jun 2021 Bachelor of Technology in Electronics & Communication Engineering Keywords: cprogramm cplusplus continuous integration continuous deployment artificial intelligence machine learning javascript business intelligence sthree Ohio