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I am an AI/ML Engineer with 8+ years of experience designing, building, and deploying production-grade machine learning solutions and scalable AI platforms. I specialize in end-to-end ML workflows, MLOps, model monitoring, and cloud-native architectures, with hands-on experience on GCP Vertex AI, Azure OpenAI, BigQuery, and modern data pipelines to deliver reliable and governed AI for enterprise environments.…I am an AI/ML Engineer with 8+ years of experience designing, building, and deploying production-grade machine learning solutions and scalable AI platforms. I specialize in end-to-end ML workflows, MLOps, model monitoring, and cloud-native architectures, with hands-on experience on GCP Vertex AI, Azure OpenAI, BigQuery, and modern data pipelines to deliver reliable and governed AI for enterprise environments.

Prabhakar P

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I am an AI/ML Engineer with 8+ years of experience designing, building, and deploying production-grade machine learning solutions and scalable AI platforms. I specialize in end-to-end ML workflows, MLOps, model monitoring, and cloud-native architectures, with hands-on experience on GCP Vertex AI, Azure OpenAI, BigQuery, and modern data pipelines to deliver reliable and governed AI for enterprise environments.…I am an AI/ML Engineer with 8+ years of experience designing, building, and deploying production-grade machine learning solutions and scalable AI platforms. I specialize in end-to-end ML workflows, MLOps, model monitoring, and cloud-native architectures, with hands-on experience on GCP Vertex AI, Azure OpenAI, BigQuery, and modern data pipelines to deliver reliable and governed AI for enterprise environments.

Available to hire

I am an AI/ML Engineer with 8+ years of experience designing, building, and deploying production-grade machine learning solutions and scalable AI platforms. I specialize in end-to-end ML workflows, MLOps, model monitoring, and cloud-native architectures, with hands-on experience on GCP Vertex AI, Azure OpenAI, BigQuery, and modern data pipelines to deliver reliable and governed AI for enterprise environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Engineer at Cox Automotive

April 1, 2022 - Present

Developed Azure-native GenAI applications using Azure OpenAI and Azure AI Search; built embedding-based semantic retrieval systems; designed agentic AI workflows with LangChain/Semantic Kernel concepts; established LLMOps with model monitoring, evaluation, governance, and prompt versioning; implemented prompt regression testing; deployed scalable ML pipelines on Vertex AI, BigQuery, and Cloud Storage; automated training, validation, deployment, and retraining; built secure microservices and REST APIs; designed evaluation frameworks with confidence scoring; implemented IaC with Terraform; containerized services with Docker and Kubernetes; built observability and telemetry for enterprise AI systems.

Machine Learning Engineer at CVS Health

January 1, 2020 - March 1, 2022

Built production-grade ML systems for healthcare analytics, NLP pipelines for clinical data, end-to-end ML pipelines (ingestion, feature engineering, training, deployment); implemented HIPAA-compliant pipelines with PHI/PII handling; established model governance, auditability, and lineage; automated monitoring and anomaly detection for model performance; PHI de-identification and responsible AI practices; integrated BigQuery, Cloud Storage, Vertex AI, and feature engineering pipelines; implemented CI/CD for ML assets and automated testing, deployment, and rollback; built explainability and auditability frameworks; collaborated to productionize AI in regulated health environments.

AI/ML Developer at Pfizer

August 1, 2017 - December 1, 2019

Developed ML models for clinical analytics, forecasting, and operational optimization; built scalable data transformation and preprocessing pipelines; implemented statistical and machine learning models; supported deployment in secure, compliant environments; data quality improvements and feature engineering; collaborated with engineers to improve pipeline reliability and efficiency.

Junior Data / ML Engineer at Amazon

June 1, 2016 - July 1, 2017

Developed and supported data pipelines and backend services for analytics and ML workflows; contributed to scalable distributed systems for large-scale data processing; worked with large datasets for transformation and preprocessing; API development and integration of data-driven services; gained experience in cloud-native architectures and distributed computing.