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Harish Kasu

Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps

NVIDIATexas A&M University-KingsvilleSan Francisco, CA5 Years ExperienceMid LevelWorks On-Site

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About

AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.

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Key Strengths

  • Built and deployed production RAG enterprise knowledge assistant at NVIDIA
  • Improved retrieval/answer accuracy by 42% via high-precision retrieval pipeline
  • Low-latency, high-throughput LLM inference optimization using TensorRT-LLM and Triton
  • Scaled system to thousands of queries with performance stability under load
  • Implemented quantization and speculative decoding to reduce GPU usage
  • Strong MLOps: drift detection, metrics dashboards, and continuous evaluation (Prometheus/Grafana, MLflow, LangSmith)
  • Designed reliable agent/workflow evaluation with synthetic tests, unit tests, and red teaming
  • End-to-end orchestration across multi-cloud using Airflow + Kubeflow with reproducibility via containers and Git config
  • Effective collaboration with non-technical stakeholders; translated requirements into AI solution improving accuracy by ~20%

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Experience

AI/ML ENGINEERNVIDIA · May 2024 – Present
AI/ML ENGINEERMicrosoft Corporation · Apr 2020 – Jul 2023

Education

Texas A&M University-Kingsvillemaster, Computer Science

Skills

PythonFastAPIFlaskRSQLJavaPyTorchTensorFlowScikit-learnXGBoostLightGBMOpenCVspaCyHugging Face TransformersNumPy

Languages

English

Certifications

AWS Certified Solutions Architect - AssociateCareer Essentials in Generative AI - Microsoft and LinkedIn

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Harish KasuMid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps