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HK
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
San Francisco, CAAI/ML ENGINEER5 years experienceMid-LevelTechnologyArtificial IntelligenceCloud Computing
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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.
Experience
AI/ML ENGINEERNVIDIA
AI/ML ENGINEERMicrosoft Corporation
Education
Texas A&M University-Kingsvillemaster, Computer Science
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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