Audited annotator evaluations of Al-generated SQL responses and API-integrated data workflows.

Verified query logic, ETL transformations, and SQL syntax while checking compliance with instruction-following expectations and evaluated SQL code and API-driven data ingestion scenarios.

Identified/documented errors, omissions, and inconsistencies in data pipelines and API responses, and provided clear QA feedback and collaborated with internal teams for clarification on complex or ambiguous SQL and API-related cases.

Automated Corelight's network telemetry REST APIs using PyTest and Python, validated request/response payloads, authentication, and SQL-based data pipelines.

Developed automation for Cisco FND UI and Command Centre, validating API-driven workflows and SQL queries with Selenium and Robot Framework.

Integrated Terraform and Ansible for Infrastructure as Code (laC) automation, reducing testbed setup time by 40% and troubleshoot failures using API logs, syslog debugging, and SQL database log analysis.

Architected and developed a custom HACpy Framework in Python for protocol automation, integrating REST API testing and ETL data validation.

Led system-level testing and ETL data validation tasks with SQL queries ensuring 97% data integrity across migrated network device configurations.

Enhanced HACpy framework with Generative Al logic to auto-generate API test cases, ETL validation checks, protocol traces, and negative scenarios and executed packet-level verification and backend log analysis.

Performed performance and longevity testing of smart grid devices with SQL-based data extraction and ETL validation from IoT communication logs.

Conducted packet sniffing, network trace validation, and system-level validation for real-time modules with REST API and backend SQL verification.

Created custom Shell scripts for automation tools, parsing SQL logs and validating data pipelines and API responses for performance benchmarks and created Python/Shell scripts integrated with REST/SQL APIs and ETL workflows.

Validated telecom protocols (SIP, Diameter, ISUP) and applied SQL queries for CDR validation and ETL pipeline verification.

Customized Robot Framework test suites in Python with API-driven and SQL-backed test data, improving regression automation coverage to 90%+

Performed performance benchmarking and JMeter-based load testing for REST APIs and signaling protocols, validating results with SQL queries and drove adoption of test automation best practices.