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YESWANTH REDDY CHEREDDY
Mid-level ML Engineer specializing in LLMs, Generative AI, and MLOps
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AI/ML engineer with production experience building an enterprise network-fault prediction assistant that combines anomaly detection (Isolation Forest + LSTM) with an LLM layer for incident diagnosis and recommended resolutions. Hands-on with orchestration (Airflow, Prefect, Dagster) to run ETL/ELT and automated training/fine-tuning workflows, and has delivered AI solutions with non-technical stakeholders (retail customer support ticket categorization/response suggestions).
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Key Strengths
- Built and deployed an AI assistant for early network fault prediction using ML + LLMs
- Designed end-to-end data/ML pipelines (ingestion, labeling, training, evaluation, deployment) in production
- Strong orchestration/DAG dependency management (dynamic/conditional workflows, parallelization to avoid bottlenecks)
- Practical approach to LLM reliability: human-in-the-loop, feedback loops, and ongoing evaluation against resolved incidents
- Effective translation of non-technical stakeholder needs into AI product requirements (retail customer support automation)
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