Available to hire
Hi, I’m Siddhartha Sandineni, a software engineer with over 3 years of experience focusing on Java backend development and cloud architecture. I’ve built scalable backend services and led initiatives to improve data processing and security. I enjoy collaborating with cross-functional teams and continuously learning new technologies to deliver robust and secure systems.
Hi, I’ve implemented microservices architectures, integrated Kafka for high-volume data processing, and applied machine learning techniques to detect anomalies and fraud in real-time. I’m excited to tackle complex problems and contribute to impactful products at scale.
Skills
Experience Level
Language
Javanese
Fluent
Aragonese
Intermediate
Work Experience
Software Engineer at Paychex
July 1, 2025 - PresentDevelop scalable backend services for financial data processing using Java and Spring Boot, improving throughput by 25%. Pioneered integration of a machine learning model (Python, Scikit-learn) into the payment processing pipeline to predict and flag fraudulent transactions in real-time, enhancing system security. Architected a decoupled microservices system on AWS to improve fault tolerance and deployment agility. Constructed robust RESTful APIs enabling secure integrations with external banking and payment systems.
Graduate Teaching Assistant at Auburn University at Montgomery
May 1, 2025 - October 14, 2025Instructed over 50 graduate students on core Java programming concepts, data structures, and algorithm optimization techniques. Assessed and provided detailed feedback on software design projects, significantly improving final project code quality and design. Demonstrated practical application of Spring Boot and OOP principles in weekly interactive lab sessions and workshops.
Software Developer at KPMG
June 30, 2023 - October 14, 2025Engineered a full-stack audit analytics application using Java and Python, incorporating data processing scripts (Pandas) to reduce data analysis time by 30% for the audit team. Designed and implemented a Microservices architecture deployed on AWS ECS, drastically improving system resilience and scalability. Implemented a Kafka event-streaming platform to handle real-time financial data for over 1 million daily transactions. Built serverless data transformation pipelines using AWS Lambda and S3, cutting cloud computing costs by 15% annually. Optimized complex SQL queries and database schemas in PostgreSQL, decreasing report generation time by 20%. Integrated AI-driven data anomaly detection models (Scikit-learn) into the analytics application, identifying potential audit risks with 95% accuracy.
Software Developer Intern at KPMG
May 1, 2022 - October 14, 2025Developed dynamic and responsive front-end components for the risk assessment dashboard using React.js and JavaScript, enhancing user interactivity and data visualization. Collaborated with UX designers to translate wireframes into functional web pages, ensuring a seamless and intuitive user experience. Authored comprehensive unit and integration tests with JUnit, achieving 90% test coverage for critical application modules. Supported the development of secure REST APIs for a client-facing dashboard that visualized complex risk assessment data. Containerized application components using Docker, standardizing development environments and reducing setup time.
Education
Master of Science in Computer Science at Auburn University at Montgomery
August 1, 2023 - May 1, 2025Bachelor of Technology in Computer Science and Engineering at Mahaveer Institute of Science and Technology
August 1, 2018 - May 1, 2022Qualifications
AWS Certified Cloud Practitioner
January 11, 2030 - October 14, 2025PCAP – Certified Associate Python Programmer
January 11, 2030 - October 14, 2025Industry Experience
Software & Internet, Financial Services, Professional Services, Education
Skills
Experience Level
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