RICARDO HERNANDEZ
Summary
Software Engineer with a strong foundation, 4 years of experience optimizing, monitoring, and troubleshooting enterprise production systems in high-availability environments. Proficient in full-stack development, object-oriented programming (C++), and database engineering (SQL, PostgreSQL). Adept at building automated workflows, developing AI-driven solutions, and managing containerized architectures to deliver scalable software solutions.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Technology Associate
Fidelity National Information Services (FIS)
San Juan
06.2023 - Current
- Operated large-scale mainframe batch and online processing systems for financial workloads, maintaining and monitoring
- Validated and tested enterprise web services using SoapUI, analyzing XML data payloads to troubleshoot integration errors and ensure robust financial transaction delivery.
- Analyzed high-volume system and application logs in Splunk Cloud to detect anomalies and prevent production incidents, working with structured log data and alerting rules.
- Managed batch job queues and scheduling, coordinating data-dependent workloads and execution order across multiple applications.
Education
Bachelor of Science - Computer Engineering
Polytechnic University of Puerto Rico
03-2026
Skills
- Programming: Python, C, SQL, JavaScript (Nextjs)
- Protocols & Web Services: JSON, XML, REST APIs, SOAP, Bruno
- Databases: PostgreSQL, Microsoft SQL Server, Databricks SQL, Azure SQL databases
- Cloud & AI coding tools: Azure, Codex, Cursor, Copilot, and Claude Code
- Tools & Infrastructure: Docker, Git, GitHub, Linux, Splunk Cloud, Jira, Confluence, z/OS (JCL, ISPF/TSO)
Certification
- Microsoft Azure AI Fundamentals (AI-900)
Projects
Mainframe Tracker Specialist - AI Agent
Microsoft Copilot Studio | Jan 2026
Built domain-specific AI agent for z/OS mainframe operations using knowledge-grounded retrieval to analyze ASP batch abend logs and provide step-by-step remediation guidance. Reduced batch abend resolution time by 60-70% through advanced prompt engineering and source-grounded knowledge configuration, eliminating hallucinations in financial operations domain.
Decentralized Prediction Model - Capstone Project
Python, Next.js, PostgreSQL | Jan 2025 - Jan 2026
Designed cloud-based forecasting platform using ARIMA and Prophet models to predict construction material prices via full-stack Next.js dashboard. Implemented PostgreSQL with role-based authentication, containerized MVC architecture, and automated data pipelines for model training and scheduled forecast generation.
Timeline
Technology Associate
Fidelity National Information Services (FIS)
06.2023 - Current
Bachelor of Science - Computer Engineering
Polytechnic University of Puerto Rico