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Audited model responses for output consistency, safety guardrails, prompt vulnerability leaks, and contextual drift metrics.
Professional portfolio of Rohan Reddy, evaluating and optimizing AI outputs to bridge the gap between raw data and actionable human insights.
B.E. Computer Science graduate specialized in prompt engineering, LLM performance auditing, safety compliance, and SQL analytics.
Designing prompt workflows and evaluating model outputs for safety, drift, bias, and context alignment parameters.
Aggregating databases, conducting SQL audits, and engineering reports detailing trends and operational insights.
Deploying solutions rapidly into agile sprints and drafting detailed technical specifications and documentation.
Conducted behavior audits on machine learning systems, validated outputs for safety parameters, and logged model regressions.
→Engineered prompting directives, verified AI workflows, and set up client reporting dashboards.
→Certified associate validating tenancy structures, cloud networking, and storage provisioning competencies.
→Studied data systems, neural networks, machine learning architectures, and concentrated database structures.
→Ready to refine your system prompts, audit output safety, or extract database trends? Let's talk.