
Precision in Testing · Excellence in Validation · Security in Systems
Measurable results driven by systematic testing, validation, and continuous improvement
Performance Boost
Through structured testing and optimization validation
Issue Resolution
Enterprise system troubleshooting success rate
Reliability Increase
System validation and performance testing
Automation Scripts
Python and Bash for monitoring and analysis
Specialized in manual testing, data validation, and automation frameworks that ensure system reliability and data integrity
Expert in validating SQL queries and structured datasets to ensure data accuracy, consistency, and completeness across enterprise systems.
Developed 100+ automation scripts for monitoring, testing, and security analysis to reduce manual workload and improve testing efficiency.
Structured approach to functional testing, defect documentation, and bug reproduction with clear replication steps for engineering teams.
Ensuring accuracy, consistency, and reliability through systematic validation processes and automated quality checks
Developed comprehensive SQL validation processes to ensure data accuracy across enterprise systems. Validated queries, checked data consistency, and identified anomalies through structured testing methodologies.
Built Python automation scripts for log analysis, data validation, and system monitoring to streamline quality assurance processes.
Applied NIST Cybersecurity Framework to validate security controls, assess risks, and ensure compliance with IT security standards.
A track record of delivering quality, solving problems, and improving systems
Confusion of a Rebel: Shadow Garden · New York, NY
Performed manual functional testing to validate software reliability and data integrity. Executed test cases, documented defects, and contributed to 15% performance improvement through structured testing and debugging workflows.
Assistant Technology · New York, NY
Achieved 95% resolution rate for system-level hardware and software issues while maintaining IT security compliance. Conducted IT controls audits, system hardening, and automated monitoring processes with Python and Bash scripts.
Hardware.Impact · New York, NY
Conducted benchmark and stress testing to validate hardware performance and system reliability. Improved system reliability by 25% through structured performance validation and diagnostics.
Self-Directed Research
Applied NIST Cybersecurity Framework to perform risk assessments and vulnerability analysis. Developed Python-based security simulations, incident response playbooks, and data validation workflows.
Comprehensive technical skill set spanning QA testing, programming, security analysis, and IT controls
Formal education in computer information systems, cybersecurity, and continuous professional development
BBA – Computer Information Systems
Cybersecurity Concentration
Expected 2026
Computer Science & Engineering
Coursework Completed
Aug 2022 – 2025
Codecademy Certification
Issued Sep 2024
Credential ID: course9313271441
Entry-level QA Tester with hands-on experience in manual testing, defect documentation, SQL data validation, and Python-based automation.
Experienced in identifying, reproducing, and tracking software defects to improve system reliability and performance. Background in IT systems troubleshooting and structured testing methodologies within technical and infrastructure environments.
I've also conducted vulnerability assessments and applied the NIST Cybersecurity Framework (NIST CSF) to perform structured risk assessments and support security control processes.
"I thrive in structured, process-driven environments where accuracy, validation, documentation, and risk awareness are critical."
I'm currently seeking fully remote opportunities in QA testing, IT controls, and data validation. Feel free to reach out via any of the channels below.