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Ramesh Jasti

Mid-level AI/ML & MLOps Engineer specializing in cloud AI infrastructure and GenAI

San Jose, USAFull Stack Developer5 years experienceMid-LevelTechnologyCloud ComputingArtificial Intelligence
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About

At HPE, led and deployed an enterprise-grade LLM document intelligence platform for an insurance client, automating extraction from highly variable PDFs/scans/emails and raising field accuracy from 74% to 93%. Built a LangChain/Pinecone/OpenSearch RAG framework to cut hallucinations by 37% and operationalized LangSmith evals in CI, driving a 41% triage accuracy lift and >33% fewer incorrect resolutions while partnering closely with claims operations via HITL workflows.

Experience

Full Stack DeveloperHewlett-Packard Enterprise
Machine Learning EngineerDell Technologies
Machine Learning EngineerMphasis

Education

Western Illinois Universitymaster, Computer Science (2024)

Key Strengths

  • Led development and production deployment of an enterprise document intelligence platform for an insurance client
  • Built hybrid OCR + LLM extraction pipeline improving field extraction accuracy to 93% (from 74%)
  • Designed RAG grounding (LangChain + Pinecone + OpenSearch) to reduce LLM hallucinations by 37%
  • Airflow orchestration of multi-stage, event-driven pipelines (S3 file drops, Kafka events) with SLA monitoring
  • Implemented rigorous agent/workflow testing (golden paths, unit tests, fuzzing) and evaluation (LangSmith/TruLens)
  • Established LangSmith evaluation loop in CI; improved triage accuracy by 41% and reduced incorrect resolutions by >33%
  • Effective collaboration with non-technical claims operations stakeholders; built HITL dashboards and reduced correction cycles by 40%

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Languages

English

Skills

PythonBashPowerShellGoYAMLGroovyTensorFlowPyTorchScikit-learnPandasNumPyKubeflowMLflowApache AirflowJupyter