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Hi, I’m Namitha Jammula, a Senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML solutions across cloud platforms. I specialize in building end-to-end ML pipelines, model training and deployment, MLOps, and optimizing performance and cost on AWS and GCP (Vertex AI, BigQuery, Kubeflow). I’ve delivered production-ready AI solutions for finance, healthcare, and technology sectors, including real-time inference, feature engineering, and model monitoring. I enjoy translating business needs into AI-driven outcomes, collaborating with cross-functional teams, and communicating insights through dashboards in Tableau and Plotly. My work emphasizes reliability, governance, and measurable impact on KPIs like predictive accuracy, operational efficiency, and risk reduction, while maintaining a strong focus on explainability and regulatory compliance where applicable.…Hi, I’m Namitha Jammula, a Senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML solutions across cloud platforms. I specialize in building end-to-end ML pipelines, model training and deployment, MLOps, and optimizing performance and cost on AWS and GCP (Vertex AI, BigQuery, Kubeflow). I’ve delivered production-ready AI solutions for finance, healthcare, and technology sectors, including real-time inference, feature engineering, and model monitoring. I enjoy translating business needs into AI-driven outcomes, collaborating with cross-functional teams, and communicating insights through dashboards in Tableau and Plotly. My work emphasizes reliability, governance, and measurable impact on KPIs like predictive accuracy, operational efficiency, and risk reduction, while maintaining a strong focus on explainability and regulatory compliance where applicable.

Namitha Jammula

Data Scientist, AI Engineer, Data Analyst, +2

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Hi, I’m Namitha Jammula, a Senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML solutions across cloud platforms. I specialize in building end-to-end ML pipelines, model training and deployment, MLOps, and optimizing performance and cost on AWS and GCP (Vertex AI, BigQuery, Kubeflow). I’ve delivered production-ready AI solutions for finance, healthcare, and technology sectors, including real-time inference, feature engineering, and model monitoring. I enjoy translating business needs into AI-driven outcomes, collaborating with cross-functional teams, and communicating insights through dashboards in Tableau and Plotly. My work emphasizes reliability, governance, and measurable impact on KPIs like predictive accuracy, operational efficiency, and risk reduction, while maintaining a strong focus on explainability and regulatory compliance where applicable.…Hi, I’m Namitha Jammula, a Senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML solutions across cloud platforms. I specialize in building end-to-end ML pipelines, model training and deployment, MLOps, and optimizing performance and cost on AWS and GCP (Vertex AI, BigQuery, Kubeflow). I’ve delivered production-ready AI solutions for finance, healthcare, and technology sectors, including real-time inference, feature engineering, and model monitoring. I enjoy translating business needs into AI-driven outcomes, collaborating with cross-functional teams, and communicating insights through dashboards in Tableau and Plotly. My work emphasizes reliability, governance, and measurable impact on KPIs like predictive accuracy, operational efficiency, and risk reduction, while maintaining a strong focus on explainability and regulatory compliance where applicable.

Available to hire

Hi, I’m Namitha Jammula, a Senior AI/ML Engineer with 11+ years of experience designing and deploying scalable AI/ML solutions across cloud platforms. I specialize in building end-to-end ML pipelines, model training and deployment, MLOps, and optimizing performance and cost on AWS and GCP (Vertex AI, BigQuery, Kubeflow). I’ve delivered production-ready AI solutions for finance, healthcare, and technology sectors, including real-time inference, feature engineering, and model monitoring.

I enjoy translating business needs into AI-driven outcomes, collaborating with cross-functional teams, and communicating insights through dashboards in Tableau and Plotly. My work emphasizes reliability, governance, and measurable impact on KPIs like predictive accuracy, operational efficiency, and risk reduction, while maintaining a strong focus on explainability and regulatory compliance where applicable.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Senior AI Engineer at UNITED AIRLINES

March 1, 2024 - Present

Developed scalable ML pipelines on GCP Vertex AI for real-time fraud monitoring across millions of transactions. Trained and deployed models on Vertex AI, built end-to-end ML pipelines using Kubeflow, Cloud Composer, and Vertex AI Pipelines, and optimized data preprocessing with BigQuery ML, Dataflow, and Dataproc. Implemented real-time inference APIs with Cloud Functions and Vertex AI Endpoints, achieved significant latency reductions, and migrated on-prem workloads to cloud with CI/CD and monitoring via Vertex AI Model Monitoring.

AI Engineer at Schonfeld

November 1, 2023 - March 31, 2024

Developed and deployed scalable ML models on AWS SageMaker for NLP, computer vision, and predictive analytics. Automated data ingestion and preprocessing with AWS Glue, Kinesis, and Redshift. Built end-to-end ML workflows with SageMaker Pipelines and AWS Step Functions, cutting training-to-deployment cycle time by 45%. Implemented real-time inference services using Lambda + API Gateway. Enabled automated hyperparameter tuning with SageMaker Automatic Model Tuning. Monitored production models with SageMaker Model Monitor and CloudWatch; secured workflows with IAM/KMS.

ML Engineer at LA County

September 1, 2021 - October 31, 2023

Implemented clustering and customer segmentation models (RFM with K-Means & Hierarchical). Designed healthcare analytics predictive models and integrated AI into Salesforce workflows. Built and automated end-to-end ML pipelines including data preprocessing, feature engineering, deployment, and monitoring. Developed Spark Streaming jobs for near real-time IoT data; applied NLP to medical documents; contributed to data architecture improvements and BI capabilities with Tableau.

Machine Learning Engineer at RX Paradigm

February 1, 2018 - August 31, 2021

Led development of predictive models (logistic regression, random forest, KNN) for customer churn and healthcare analytics. Built ETL processes with Python and Spark; designed data marts and integrated with Tableau for dashboards. Automated end-to-end ML pipelines and implemented Spark Streaming for IoT-like data; explored transformers and NLP techniques for healthcare text analysis.

Data Analyst at Ford

January 1, 2014 - December 31, 2017

Converted extreme-level design specifications to detailed technical requirements; developed SAS analytics code and data validation processes. Cleaned data, built Tableau dashboards, and created 3NF data models for reporting; collaborated with business users to define requirements and drive data-driven decisions.