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ravali chowdary

@ravalichowdary

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Senior Machine Learning Engineer specializing in production GenAI, MLOps, and LLM systems.

United States

Message

What I'm looking for

I seek senior ML/GenAI roles building production LLM systems and MLOps pipelines at companies valuing scalable, compliant AI, cross-functional collaboration, and mentorship.

I am a Senior Machine Learning Engineer with 10+ years designing and deploying production-grade AI/ML and GenAI systems, specializing in LLM architectures, prompt engineering, and MLOps on cloud platforms such as AWS, Azure, and GCP. I have built enterprise-scale RAG, fine-tuning, multi-agent frameworks, and ML microservices that improved fraud detection, ingestion pipelines, and operational efficiency across finance, healthcare, and retail clients.

I lead end-to-end ML lifecycle efforts—data engineering, feature stores, model training, deployment, monitoring, and governance—while mentoring engineers and standardizing best practices. My work emphasizes compliant, scalable automation (SOC2/MRO/HIPAA), CI/CD-driven deployments, and measurable business outcomes using tools like SageMaker, Azure ML, LangChain, PyTorch, and Spark.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

T. Rowe Price

Dec 2022 - Present (3 years)

Designed and deployed an enterprise Generative AI and LLM automation platform on AWS SageMaker, building multi-agent chatbots and RAG pipelines that improved fraud/anomaly detection precision by 20% and automated compliance-driven document intelligence workflows.

Python AWS Sagemaker RAG Pyspark Docker fastAPI Faiss MLFlow

Senior Machine Learning Engineer

Baptist Medical Center

Sep 2019 - Nov 2022 (3 years 2 months)

Architected Azure-based AI/ML pipelines and production feature stores for payer analytics and predictive maintenance, improving GPU efficiency and model throughput by over 30% and enabling automated retraining and compliance-ready ML workflows.

Databricks Pyspark MLFlow fastAPI ONNX Runtime Airflow Prometheus

Senior Python Developer

State of CA

Mar 2018 - Aug 2019 (1 year 5 months)

Developed Python ETL and ML pipelines on GCP to produce unified mortgage risk datasets and deployed models that increased classification accuracy by 20%, delivering audit-ready compliance and reproducible CI/CD model workflows.

Python GCP Flask fastAPI scikit learn XGBoost MLFlow Docker SQL

Senior Python Developer

Safeway

Aug 2016 - Feb 2018 (1 year 6 months)

Built a retail predictive analytics platform with AWS Glue and PySpark that reduced equipment downtime by 15% and enabled >$1M annual cost savings through scalable ETL, forecasting models, and production MLOps pipelines.

Pyspark AWS Glue Sagemaker Docker Flask fastAPI XGBoost TensorFlow AWS Step Functions

Data Scientist

Desidea

Jul 2015 - Jun 2016 (11 months)

Delivered client-facing predictive models and automated Azure ML pipelines for customer response and campaign optimization, improving model-driven targeting and enabling scheduled retraining and reproducible deployments.

Python Azure Data Factory SQL scikit learn TensorFlow Power BI