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Karthikeya Arra
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
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Backend/ML engineering candidate focused on fintech automation who architected a zero-to-one agentic/LLM-enabled system to reconcile messy financial documents and bank transactions, reporting ~40% operational efficiency gains. Experienced migrating monoliths to event-driven microservices with incremental rollout via reverse proxy, and implementing production-grade security (OAuth2/JWT, RBAC, Supabase RLS) plus resilience patterns (timeouts/retries under concurrency).
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Key Strengths
- Architected zero-to-one AI system for fintech reconciliation/investigation of complex financial data
- Improved operational efficiency ~40% by reducing transaction reconciliation time
- Designed and scaled FastAPI APIs with strong validation, dependency injection, and async performance considerations
- Led monolith-to-microservices refactor using a strangler/traffic-routing approach with reverse proxy for incremental rollout
- Implemented production security: OAuth2/JWT, RBAC, and database-level row-level security (Supabase/SQL policies)
- Identified concurrency-only failure mode in agentic AI workflow and improved robustness with timeouts/retries
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