Jayadeep Nukala

About

Built and deployed an enterprise AI testing solution at a startup, then customized and scaled it inside Citigroup over the course of a year to support 40+ projects and 1,000+ daily users. Brings hands-on production experience with multi-agent LLM workflows, RAG, enterprise deployment infrastructure, and real-world incident handling in AI-driven data pipelines.

Key Strengths

• Owned enterprise AI deployment for Citigroup from build/customization through rollout and stabilization
• Scaled product adoption to 40+ projects and 1,000+ daily users
• Production experience with multi-agent LLM architecture for automated test case generation
• Strong enterprise integration and platform engineering using OpenShift, Grafana, Prometheus, and CI/CD
• Handled production incidents with logging, alerting, canary deployments, and connection-throttling safeguards
• Improved noisy LLM outputs by adding contextual relevance filtering and tighter pipeline controls
• Built workflows for messy unstructured documents with validation, fallback logic, and user feedback loops

Reference Highlights

• true ownership
• thorough during build phase
• highly proactive during launch
• minimizes end-user downtime
• drives consistency
• projects launch on schedule
• minimal stabilization required
• anticipates bottlenecks early
• strong discovery-phase foresight
• caught critical data-privacy edge case
• prevented major post-launch security fix
• delivered compliance-issue-free launch
• built reliable end-to-end RAG system
• ensured grounded and reliable answers
• improved user engagement by 30%
• top-tier debugging ability
• effective at making random bugs reproducible
• disciplined with API versioning
• prevents downstream breakage
• protects systems from cascading failures
• architects performant data-heavy backends
• growth mindset
• mentors others on database indexing

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