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Prithviraju Venkataraman
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Computer Vision
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Built and deployed a production LLM-powered text extraction/classification system that converts messy unstructured reports into searchable insights, running on AWS SageMaker with automated retraining and monitoring. Strong in orchestration (Step Functions/Kubernetes/Airflow patterns) and reliability practices (gold datasets, prompt/tool unit tests, shadow/canary/A-B testing, guardrails/rollback), and has experience translating non-technical stakeholder needs into an NLP workflow plus dashboard.
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Key Strengths
- built and deployed LLM/NLP system to production on AWS SageMaker
- reduced production latency via preprocessing optimization, batching, and embedding caching
- robust handling of inconsistent/noisy text inputs with normalization and rule-based fallbacks
- end-to-end ML/LLM workflow orchestration (Step Functions, Kubernetes Jobs, Airflow-style DAGs)
- reliability-focused agent/workflow design (typed interfaces, idempotency, timeouts/retries, guardrails, rollback)
- rigorous evaluation approach (gold datasets, prompt/tool unit tests, offline evals, shadow/canary/A-B testing)
- systematic model/RAG selection balancing performance, cost, and latency
- effective collaboration with non-technical stakeholders; delivered usable dashboard and iterated via prototypes/feedback
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