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Hi, I'm Sai Karthik, an accomplished Machine Learning and Generative AI Engineer with over 8 years of experience working across finance, retail, media, insurance, and public sector domains. I specialize in designing and deploying scalable ML solutions and MLOps workflows on both Google Cloud Platform and AWS environments. I've built robust pipelines, real-time inference APIs, and generative AI chatbots to solve complex business problems and improve operational efficiency. I enjoy collaborating closely with cross-functional teams to translate business requirements into technical ML solutions that drive measurable impact. With a strong foundation in data engineering, model monitoring, cloud infrastructure, and modern backend development, I am passionate about delivering transparent, reliable, and scalable machine learning systems that adhere to enterprise security and compliance standards.…Hi, I'm Sai Karthik, an accomplished Machine Learning and Generative AI Engineer with over 8 years of experience working across finance, retail, media, insurance, and public sector domains. I specialize in designing and deploying scalable ML solutions and MLOps workflows on both Google Cloud Platform and AWS environments. I've built robust pipelines, real-time inference APIs, and generative AI chatbots to solve complex business problems and improve operational efficiency. I enjoy collaborating closely with cross-functional teams to translate business requirements into technical ML solutions that drive measurable impact. With a strong foundation in data engineering, model monitoring, cloud infrastructure, and modern backend development, I am passionate about delivering transparent, reliable, and scalable machine learning systems that adhere to enterprise security and compliance standards.

Sai Karthik

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Hi, I'm Sai Karthik, an accomplished Machine Learning and Generative AI Engineer with over 8 years of experience working across finance, retail, media, insurance, and public sector domains. I specialize in designing and deploying scalable ML solutions and MLOps workflows on both Google Cloud Platform and AWS environments. I've built robust pipelines, real-time inference APIs, and generative AI chatbots to solve complex business problems and improve operational efficiency. I enjoy collaborating closely with cross-functional teams to translate business requirements into technical ML solutions that drive measurable impact. With a strong foundation in data engineering, model monitoring, cloud infrastructure, and modern backend development, I am passionate about delivering transparent, reliable, and scalable machine learning systems that adhere to enterprise security and compliance standards.…Hi, I'm Sai Karthik, an accomplished Machine Learning and Generative AI Engineer with over 8 years of experience working across finance, retail, media, insurance, and public sector domains. I specialize in designing and deploying scalable ML solutions and MLOps workflows on both Google Cloud Platform and AWS environments. I've built robust pipelines, real-time inference APIs, and generative AI chatbots to solve complex business problems and improve operational efficiency. I enjoy collaborating closely with cross-functional teams to translate business requirements into technical ML solutions that drive measurable impact. With a strong foundation in data engineering, model monitoring, cloud infrastructure, and modern backend development, I am passionate about delivering transparent, reliable, and scalable machine learning systems that adhere to enterprise security and compliance standards.

Available to hire

Hi, I’m Sai Karthik, an accomplished Machine Learning and Generative AI Engineer with over 8 years of experience working across finance, retail, media, insurance, and public sector domains. I specialize in designing and deploying scalable ML solutions and MLOps workflows on both Google Cloud Platform and AWS environments. I’ve built robust pipelines, real-time inference APIs, and generative AI chatbots to solve complex business problems and improve operational efficiency.

I enjoy collaborating closely with cross-functional teams to translate business requirements into technical ML solutions that drive measurable impact. With a strong foundation in data engineering, model monitoring, cloud infrastructure, and modern backend development, I am passionate about delivering transparent, reliable, and scalable machine learning systems that adhere to enterprise security and compliance standards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Engineer at Walmart

July 1, 2024 - Present

Designed and implemented scalable machine learning pipelines on Google Cloud Platform using Cloud Storage, Dataproc, BigQuery, and Vertex AI. Automated end-to-end MLOps workflows including data ingestion, preprocessing, model training, evaluation, deployment, and monitoring. Developed batch and streaming data processing pipelines leveraging Dataflow and Pub/Sub. Built and deployed predictive models for customer segmentation, demand forecasting, and personalized recommendation systems. Implemented real-time inference APIs integrated with Walmart’s microservices architecture. Used BigQuery ML for rapid prototyping of ML models. Integrated model explainability frameworks for transparency and compliance. Developed CI/CD pipelines using Cloud Build, Terraform, and GitHub Actions. Monitored model performance and data drift using Vertex AI Model Monitoring, and managed feature engineering with Cloud Composer (Airflow). Optimized resource utilization and costs on GCP. Developed RAG-based cha

Machine Learning Engineer at World Bank

May 31, 2024 - July 24, 2025

Designed scalable ML pipelines on AWS SageMaker, S3, and Glue for global development projects. Automated end-to-end MLOps workflows with SageMaker Pipelines and Step Functions. Developed batch and streaming data processing pipelines with Glue, Lambda, and Kinesis for socio-economic datasets. Built predictive models for poverty estimation, climate resilience, and education forecasting using TensorFlow and XGBoost. Implemented real-time inference APIs on SageMaker Endpoints integrated with API Gateway. Collaborated with domain experts to deliver AWS ML solutions. Used Redshift and Athena for data warehousing and SQL analysis. Integrated explainability and fairness tools such as SageMaker Clarify and SHAP. Created CI/CD pipelines with CodePipeline, CodeBuild, and Terraform. Monitored model performance and managed security and compliance with IAM, KMS, and CloudTrail. Developed dashboards with Amazon QuickSight and prototyped generative AI solutions using Amazon Bedrock foundation models.

Data Scientist at Sony

July 31, 2023 - July 24, 2025

Developed and deployed machine learning models on AWS SageMaker to enhance content recommendation and viewer engagement analytics. Conducted data exploration, cleansing, and feature engineering using AWS Glue, Athena, and Pandas. Built predictive models for user churn, personalization, and ad targeting using scikit-learn, XGBoost, and LightGBM. Automated the ML lifecycle with SageMaker Pipelines. Utilized S3 and Athena for scalable data storage and SQL querying. Created real-time inference endpoints monitored by CloudWatch and Model Monitor. Integrated model predictions in production via API Gateway and Lambda. Designed and executed A/B tests to measure model effectiveness. Visualized insights using QuickSight, Matplotlib, and Seaborn. Developed custom NLP and computer vision solutions and maintained version-controlled code and experiment tracking. Ensured compliance with data governance and security policies.

Machine Learning Engineer at Nationwide Insurance

December 31, 2021 - July 24, 2025

Designed and managed scalable ML pipelines on AWS SageMaker for insurance predictive models. Automated deployment and monitoring with Lambda and Step Functions. Developed containerized model endpoints deployed on Amazon EKS for low-latency inference. Managed experiment tracking with MLflow. Orchestrated secure data ingestion pipelines using Glue, S3, and Redshift. Collaborated with actuaries to develop models for fraud detection, churn prediction, and claims forecasting. Integrated monitoring tools including CloudWatch, Prometheus, and Grafana. Conducted A/B testing and causal impact analysis. Leveraged Terraform and CloudFormation for Infrastructure as Code. Enforced data governance including IAM policies, encryption, and compliance with SOC 2 and HIPAA. Partnered with security teams for access control and data masking. Delivered technical documentation and automated CI/CD pipelines with Jenkins.

Software Engineer at Agoda

July 31, 2017 - July 24, 2025

Developed RESTful APIs and backend services using Java (Spring Boot), Node.js, and Python frameworks. Designed database schemas with PostgreSQL, MySQL, MongoDB, and Redis. Built dynamic web applications with JavaScript frameworks including AngularJS and React. Containerized applications using Docker. Implemented CI/CD pipelines with Jenkins and Git. Managed AWS cloud infrastructure for deployment. Monitored applications using Nagios and ELK stack. Built batch processing and data pipelines with Apache Spark and Kafka. Developed unit and integration tests with JUnit and Mockito. Participated in Agile/Scrum processes and performed code reviews for quality assurance.