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Vamsi Krishna
Senior Machine Learning Engineer specializing in MLOps and Generative AI
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About
Built and deployed a production generative-AI copilot at Tungsten that automates invoice/form extraction template creation, reducing weeks of manual model-building work. Combines fine-tuned LLMs (PyTorch/HuggingFace) with OpenCV layout grounding to reduce hallucinations, and runs an end-to-end Kubeflow-based MLOps pipeline with drift monitoring, canary releases, and automated retraining.
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Key Strengths
- Built and deployed a production generative-AI copilot for document extraction/template automation
- Strong LLM hallucination mitigation via grounded hybrid LLM + OpenCV layout pipeline
- End-to-end MLOps orchestration with Kubeflow (ingestion, GPU training, eval, drift checks, canary deploys, retraining)
- Rigorous reliability approach: component contracts, unit tests, golden/edge-case eval suites, continuous metric tracking
- Pragmatic model/retrieval/prompt selection based on constraints and failure modes
- Effective collaboration with non-technical stakeholders using prototypes and translation of business needs into measurable ML requirements
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