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Hi, I'm Vamsi Reddy, an AI/ML Engineer with 5 years of experience building end-to-end Python-based ML pipelines, deploying models on Azure and AWS, and delivering scalable solutions across healthcare, retail, and financial services. I excel at turning complex data into actionable insights, leading cross-functional teams in Agile environments, and ensuring model explainability and governance throughout the lifecycle. I thrive on building robust production systems—containerized microservices, CI/CD pipelines, and real-time inference endpoints—while delivering measurable results like reduced latency, improved accuracy, and cost efficiency.…Hi, I'm Vamsi Reddy, an AI/ML Engineer with 5 years of experience building end-to-end Python-based ML pipelines, deploying models on Azure and AWS, and delivering scalable solutions across healthcare, retail, and financial services. I excel at turning complex data into actionable insights, leading cross-functional teams in Agile environments, and ensuring model explainability and governance throughout the lifecycle. I thrive on building robust production systems—containerized microservices, CI/CD pipelines, and real-time inference endpoints—while delivering measurable results like reduced latency, improved accuracy, and cost efficiency.

Vamsi Reddy

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Vamsi Reddy, an AI/ML Engineer with 5 years of experience building end-to-end Python-based ML pipelines, deploying models on Azure and AWS, and delivering scalable solutions across healthcare, retail, and financial services. I excel at turning complex data into actionable insights, leading cross-functional teams in Agile environments, and ensuring model explainability and governance throughout the lifecycle. I thrive on building robust production systems—containerized microservices, CI/CD pipelines, and real-time inference endpoints—while delivering measurable results like reduced latency, improved accuracy, and cost efficiency.…Hi, I'm Vamsi Reddy, an AI/ML Engineer with 5 years of experience building end-to-end Python-based ML pipelines, deploying models on Azure and AWS, and delivering scalable solutions across healthcare, retail, and financial services. I excel at turning complex data into actionable insights, leading cross-functional teams in Agile environments, and ensuring model explainability and governance throughout the lifecycle. I thrive on building robust production systems—containerized microservices, CI/CD pipelines, and real-time inference endpoints—while delivering measurable results like reduced latency, improved accuracy, and cost efficiency.

Available to hire

Hi, I’m Vamsi Reddy, an AI/ML Engineer with 5 years of experience building end-to-end Python-based ML pipelines, deploying models on Azure and AWS, and delivering scalable solutions across healthcare, retail, and financial services. I excel at turning complex data into actionable insights, leading cross-functional teams in Agile environments, and ensuring model explainability and governance throughout the lifecycle.

I thrive on building robust production systems—containerized microservices, CI/CD pipelines, and real-time inference endpoints—while delivering measurable results like reduced latency, improved accuracy, and cost efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Beginner

Language

English

Fluent

Work Experience

AI/ML Engineer at HCA Healthcare

September 1, 2024 - Present

Built patient risk scoring models using ensemble methods, integrated into Azure ML pipelines processing structured clinical data, and automated retraining to reduce drift. Deployed FastAPI inference services with ~35% latency reduction, implemented RBAC and CI/CD for model releases. Developed NLP pipelines for clinical notes with NER, achieving 25% improvement in entity extraction and 92% accuracy on radiology classification. Improved imbalanced dataset performance with SMOTE, engineered domain features, and automated batch scoring with Spark-based ETL. Created Power BI dashboards for monitoring predictions and KPIs. Reduced Azure compute costs by 20% via pruning/quantization and enhanced model transparency with SHAP/LIME; achieved 85% unit test coverage with Pytest.

AI/ML Engineer at Capital One

September 1, 2023 - August 31, 2024

Built real-time fraud detection using AWS Lambda, SageMaker, and DynamoDB; reduced false positives by 20% using isolation forests and ensemble methods. Designed ML pipelines with Step Functions, S3, and CloudWatch; automated training/monitoring/orchestration. Reduced inference latency below 50ms using Redis-based feature stores. Migrated legacy models to PyTorch with SageMaker Model Registry for versioning; secured APIs with rate limiting and DevSecOps-compliant CI/CD. Developed anomaly detection and uplift experiments; enabled A/B model rollouts with AWS Glue and Athena; created internal Python SDK with PII anonymization and governance.

Software Development Engineer at The Home Depot

September 1, 2019 - December 1, 2022

Built scalable Python microservices using Flask for catalog enrichment; reduced SKU update latency by 35% via asynchronous ingestion pipelines. Maintained CI/CD automation with Jenkins and Docker; improved test coverage and quality. Refactored legacy systems into modular RESTful services; integrated ML-based recommendations for frontend delivery. Improved performance by 45% with Locust and New Relic; Redis caching reduced API response times by 60% in high traffic environments. Implemented OAuth2, migrations with Alembic/PostgreSQL, and migrated on-prem apps to AWS EC2; contributed to Agile ceremonies and mentorship.