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I am a versatile software engineer with a solid foundation in Python, web development, and modern AI systems. I specialize in building full-stack applications, deploying scalable cloud services, and integrating large language models, vector databases, and data pipelines to production environments. Passionate about creating startup-level MVPs that deliver real-world impact, I have developed projects ranging from GenAI and NLP tools to intelligent forecasting dashboards. I am committed to delivering performant, intuitive, and automation-driven solutions that solve meaningful problems. My experience spans machine learning model development, MLOps, scalable pipeline construction, and effective collaboration with cross-functional teams to align AI system outputs with business goals.…I am a versatile software engineer with a solid foundation in Python, web development, and modern AI systems. I specialize in building full-stack applications, deploying scalable cloud services, and integrating large language models, vector databases, and data pipelines to production environments. Passionate about creating startup-level MVPs that deliver real-world impact, I have developed projects ranging from GenAI and NLP tools to intelligent forecasting dashboards. I am committed to delivering performant, intuitive, and automation-driven solutions that solve meaningful problems. My experience spans machine learning model development, MLOps, scalable pipeline construction, and effective collaboration with cross-functional teams to align AI system outputs with business goals.

Saketh Ram Kalavakuntla

AI Engineer, Full Stack Developer, Data Scientist, +1

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I am a versatile software engineer with a solid foundation in Python, web development, and modern AI systems. I specialize in building full-stack applications, deploying scalable cloud services, and integrating large language models, vector databases, and data pipelines to production environments. Passionate about creating startup-level MVPs that deliver real-world impact, I have developed projects ranging from GenAI and NLP tools to intelligent forecasting dashboards. I am committed to delivering performant, intuitive, and automation-driven solutions that solve meaningful problems. My experience spans machine learning model development, MLOps, scalable pipeline construction, and effective collaboration with cross-functional teams to align AI system outputs with business goals.…I am a versatile software engineer with a solid foundation in Python, web development, and modern AI systems. I specialize in building full-stack applications, deploying scalable cloud services, and integrating large language models, vector databases, and data pipelines to production environments. Passionate about creating startup-level MVPs that deliver real-world impact, I have developed projects ranging from GenAI and NLP tools to intelligent forecasting dashboards. I am committed to delivering performant, intuitive, and automation-driven solutions that solve meaningful problems. My experience spans machine learning model development, MLOps, scalable pipeline construction, and effective collaboration with cross-functional teams to align AI system outputs with business goals.

Available to hire

I am a versatile software engineer with a solid foundation in Python, web development, and modern AI systems. I specialize in building full-stack applications, deploying scalable cloud services, and integrating large language models, vector databases, and data pipelines to production environments. Passionate about creating startup-level MVPs that deliver real-world impact, I have developed projects ranging from GenAI and NLP tools to intelligent forecasting dashboards.

I am committed to delivering performant, intuitive, and automation-driven solutions that solve meaningful problems. My experience spans machine learning model development, MLOps, scalable pipeline construction, and effective collaboration with cross-functional teams to align AI system outputs with business goals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Machine Learning Engineer at New York Life Insurance

January 1, 2023 - Present

Led the development and deployment of GenAI and deep learning models for customer risk prediction and document summarization, improving retention and reducing churn by 18%. Fine-tuned large language models including LLaMA, FLAN-T5, and BERT to automate classification, summarization, and entity extraction across 100K+ policy documents, cutting manual effort by 70%. Designed NLP pipelines integrated into underwriting tools that enhanced automation coverage by 50% and accelerated decision workflows by 40%. Scaled training workloads on AWS SageMaker with Ray and managed experiments using MLflow, boosting iteration speed by 2.5×. Built CI/CD pipelines with SageMaker Pipelines and GitHub Actions to automate training, testing, and deployment within 2 hours. Established real-time monitoring to reduce drift by 30% and ensure full audit traceability. Implemented automated MLOps pipelines reducing deployment time from days to under 2 hours, enabling seamless CI/CD.

Machine Learning Engineer at The Cigna Group

December 1, 2022 - August 5, 2025

Developed predictive models using TensorFlow, PyTorch, and Scikit-learn for healthcare analytics, improving model accuracy by 28%. Built scalable ML pipelines integrating ETL, model training, validation, and deployment stages, reducing end-to-end latency by 35% through optimization and parallel processing. Developed REST APIs and microservices to serve models in real-time on AWS, reducing inference time by 40% through GPU profiling. Dockerized model workflows and deployed them using AWS SageMaker for robust delivery in clinical systems. Collaborated with cross-functional teams to align AI system outputs with business goals, enhancing project delivery velocity.

Senior Machine Learning Engineer at New York Life Insurance

January 1, 2023 - Present

Led development and deployment of GenAI and deep learning models for customer risk prediction and document summarization, improving retention and reducing churn by 18%. Fine-tuned large language models like LLaMA, FLAN-T5, and BERT to automate classification, summarization, and entity extraction across over 100,000 policy documents, cutting manual effort by 70%. Designed NLP pipelines integrated into underwriting tools, enhancing automation by 50% and speeding decision workflows by 40%. Scaled training workloads on AWS SageMaker using Ray and managed experiments with MLflow, increasing iteration speed 2.5x. Built CI/CD pipelines automating training, testing, and deployment within 2 hours using SageMaker Pipelines and GitHub Actions. Established real-time monitoring with Model Monitor and Evidently, reducing model drift by 30% and ensuring audit traceability. Automated MLOps pipelines reduced deployment time from days to under 2 hours.