Kaio – LLM, Python, AI agent development
Kaio is a senior backend engineer with strong expertise in Python and hands-on experience integrating LLMs and AI agents in enterprise and banking contexts. He has led the modernization of high-traffic financial systems and architected cloud-native solutions with a strong focus on security and operational reliability. Screenings highlight his collaborative communication style, clear client engagement, and adaptability. Particularly adept in fast-paced startup environments, Kaio thrives at building scalable, innovative solutions.
5 years of commercial experience in
Main technologies
Additional skills
Direct hire
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Let’s get started today!Experience Highlights
Senior Software Engineer
The end-to-end development and implementation of a reconciliation pipeline between a banking system and a payment network. The project involved processing Big Data-scale financial records to ensure 100% accuracy in VCF file generation. To bridge the gap between technical data and executive decision-making, an AI microservice layer was integrated, enabling stakeholders to access instant visualizations, run intelligent queries, and understand system logic directly. This eliminated data ambiguity and streamlined executive reporting.
- Architected and implemented a system that reduced monthly operational costs by over $1.5M through cloud optimization and refinement of third-party software providers;
- Integrated a custom AI microservice enabling executives to query live financial data and system logic, providing instant transparency and automated process documentation;
- Managed end-to-end pipelines for million-row financial datasets, maintaining 100% data integrity in reconciliation processes
Senior Software Engineer
The modernization of a high-traffic international transaction gateway, focusing on integration between core banking systems and global financial networks, processing tens of millions of USD monthly. Transformed legacy international processing, which previously required hours of manual intervention, into a high-performance automated pipeline with millisecond latency, significantly improving efficiency and user experience for millions of global users.
- Modernized international payment pipelines, reducing processing time from hours to milliseconds for millions of users;
- Engineered mission-critical systems for J.P. Morgan Chase using Java/Kotlin and Spring Boot;
- Implemented strict ISO-8583 and SWIFT MT103 protocols with a focus on idempotency and reliability;
- Architected resilient cloud infrastructure using AWS SQS/S3 with advanced DLQ tracking strategies;
- Resolved high-priority (P1/P2) incidents and fraud transfers as a lead "war room" technical specialist;
- Orchestrated API layers via Apigee (BFF) to bridge global financial backends with frontend systems.
Software Engineer
The development of critical features, bug fixes, and cloud migration for legacy systems supporting a large network of private colleges and schools. The project involved modernizing outdated architectures, improving system reliability, and enabling scalable digital services for students, faculty, and administrative staff. Efforts included automating key processes, enhancing user experience, and ensuring seamless integration with cloud infrastructure to support long-term growth and operational efficiency.
- Eliminated critical security vulnerabilities, leading a strategic operation to patch SQL Injections and buffer overflows;
- Strengthened platform security by implementing robust OAuth2 and Spring Security authentication standards;
- Refactored AWS S3 integrations, optimizing invoice management and document processing for high-scale operations;
- Reduced production bugs and security debt by architecting a comprehensive unit and integration testing framework;
- Led the end-to-end delivery of core features across both YDUQS and internal Avanade flagship products.
Software Engineer
The project involved developing and optimizing both backend and frontend systems for large enterprise clients, focusing on high-volume, mission-critical applications. A key component was building a resilient API integration capable of securely handling millions of concurrent users while maintaining performance and data integrity. The initiative enhanced overall system reliability, streamlined client operations, and provided a scalable platform for future enterprise growth.
- Developed a custom caching and synchronization solution using SQLite to resolve chronic intermittency issues in mobile-backend communication;
- Reduced incident rates by 80% at the N1 support level through improved data reliability and connectivity;
- Optimized backend performance for mobile applications, ensuring smoother real-time data flow and enhanced user experience;
- Implemented monitoring and logging mechanisms to proactively detect and address synchronization issues;
- Collaborated with cross-functional teams to integrate the solution seamlessly into existing mobile and backend infrastructure.