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Ritvik Nimmagadda

Junior AI/ML Software Engineer specializing in LLMs and MLOps

RemoteSoftware Engineer (AI/ML)3 years experienceJuniorHealthcareHealthcare ITInsurance
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About

Built and productionized an AI-native, agentic appeals decisioning system for health insurance operations, automating 500k+ scanned appeals/year. Delivered measurable impact by cutting review time from 12–15 minutes to ~3 minutes and auto-resolving ~85% of cases with strong auditability, evaluations, and human-in-the-loop guardrails, deployed as containerized microservices on Azure AKS.

Experience

Software Engineer (AI/ML)Cigna
Research InternUniversity of California, Los Angeles
AI Research InternOntario Tech University
Undergraduate ResearcherInternational Institute of Information Technology

Education

University of Southern California, Viterbi Engineering Schoolmaster, Computer Science (2024)
International Institute of Information Technology Bhubaneswarbachelor, Computer Science and Engineering (2022)

Key Strengths

  • Owned and shipped end-to-end AI decisioning workflow (frontend, backend, data, infra) on Azure AKS
  • Scaled production automation for 500k+ health insurance appeals/year
  • Delivered major ops efficiency gains (review time reduced from 12–15 minutes to ~3 minutes)
  • Achieved high automation rate with human-in-the-loop guardrails (~85% auto-resolved)
  • Strong LLM/RAG evaluation and safety practices (regression datasets, hallucination tracking, schema validation, confidence thresholds)
  • Production reliability and migration expertise (strangler pattern, contract tests, shadow traffic, canaries, rollback plans)
  • Operational excellence (runbooks, on-call procedures, monitoring/tracing, replay strategy)
  • Effective stakeholder partnership translating ambiguous exec goals into an iterative roadmap

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Contact

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Languages

English

Skills

PythonC#C++JavaJavaScriptSQLReactNext.jsFlaskTerraformDockerKubernetesAzure Kubernetes Service (AKS)Amazon Elastic Kubernetes Service (EKS)GitHub Actions