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Snigdha Reddy Podduturi
Junior Data & AI Engineer specializing in cloud AI and analytics
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About
Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.
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Key Strengths
- end-to-end ownership of production backend systems
- healthcare AI workflow automation
- regulated-system engineering rigor
- LLM reliability and guardrail design
- early-stage MVP scoping in ambiguous environments
- backend architecture tradeoff judgment
- cloud deployment and CI/CD implementation
- RAG and retrieval system design
- operational metrics and production monitoring
Reference Highlights
- end-to-end ownership
- strong retrieval architecture decisions
- high answer relevance
- secure integration design
- smooth AWS deployment
- reliable production support
- latency improvement
- reduced manual intervention through automation
- clear technical reasoning
- good technical context
- strong systems design judgment
- scalability-minded
- cost-conscious architectural decisions
- handles ambiguity well
- proactive problem identification
- solution-oriented
- autonomous
- consistently reliable
- follows through
- strong engineering rigor
- ownership of testing and observability
- robust and comprehensive monitoring setup
- highly recommended
- dedicated
- talented developer
- exceptional problem-solving skills
- quick learner
- owned coding and deployment end-to-end
- deep understanding of AI agent architecture
- learned new systems from scratch
- strong DevOps collaboration
- drove seamless Azure transition
- impeccable backend system design skills
- strong architectural decision-making
- standardizes interface layers
- proactive requirements discovery
- documents specs clearly
- creates diagrams and secures sign-off
- prioritizes by business need and urgency
- strong testing rigor
- catches major defects quickly
- strong observability during production deployment
- fast follow-through on fixes
- delivered 80% increase in online ordering
Snigdha's references speak for themselves. Let us connect you.
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