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I am a Machine Learning Engineer with 4+ years of experience turning business challenges into predictive analytics and AI-powered solutions. I combine expertise in cutting-edge algorithms, distributed computing, and automated intelligence systems to deliver measurable business impact.\n\nI specialize in building HIPAA-compliant data pipelines, deploying models in production, and leveraging retrieval-augmented generation with domain knowledge bases to enable explainable AI for decision support.…I am a Machine Learning Engineer with 4+ years of experience turning business challenges into predictive analytics and AI-powered solutions. I combine expertise in cutting-edge algorithms, distributed computing, and automated intelligence systems to deliver measurable business impact.\n\nI specialize in building HIPAA-compliant data pipelines, deploying models in production, and leveraging retrieval-augmented generation with domain knowledge bases to enable explainable AI for decision support.

Swagath Babu M

AI Engineer, Developer, Data Scientist, +4

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I am a Machine Learning Engineer with 4+ years of experience turning business challenges into predictive analytics and AI-powered solutions. I combine expertise in cutting-edge algorithms, distributed computing, and automated intelligence systems to deliver measurable business impact.\n\nI specialize in building HIPAA-compliant data pipelines, deploying models in production, and leveraging retrieval-augmented generation with domain knowledge bases to enable explainable AI for decision support.…I am a Machine Learning Engineer with 4+ years of experience turning business challenges into predictive analytics and AI-powered solutions. I combine expertise in cutting-edge algorithms, distributed computing, and automated intelligence systems to deliver measurable business impact.\n\nI specialize in building HIPAA-compliant data pipelines, deploying models in production, and leveraging retrieval-augmented generation with domain knowledge bases to enable explainable AI for decision support.

Available to hire

I am a Machine Learning Engineer with 4+ years of experience turning business challenges into predictive analytics and AI-powered solutions. I combine expertise in cutting-edge algorithms, distributed computing, and automated intelligence systems to deliver measurable business impact.\n\nI specialize in building HIPAA-compliant data pipelines, deploying models in production, and leveraging retrieval-augmented generation with domain knowledge bases to enable explainable AI for decision support.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Afar

Advanced

Work Experience

Machine Learning Engineer at Humana

January 1, 2024 - Present

Built HIPAA-compliant data pipelines and engineered predictive features from structured EHR data to analyze 2 million patient records. Applied efficient fine-tuning techniques on transformer models using clinical notes, reducing computational requirements by 70%. Developed NLP pipelines with domain-specific embeddings, improving medical record processing accuracy by 35%. Collaborated closely with clinical teams in Agile sprints, resulting in a 12% reduction in readmission rates. Deployed ML models to production on AWS SageMaker with robust monitoring for critical care decision support. Engineered a Retrieval-Augmented Generation system with LangChain to deliver explainable AI outputs, ensuring regulatory compliance and generating $1.2 million in annual savings.

Machine Learning Engineer at Vivma Software Inc

August 1, 2022 - August 5, 2025

Designed recommendation systems using PyTorch and transformer models, increasing user engagement by 23%. Implemented A/B testing with MLflow experiment tracking to validate improvements. Containerized ML models with Docker and deployed via Kubernetes, serving over 5000 concurrent requests. Developed automated CI/CD pipelines that reduced deployment time from days to hours. Implemented monitoring systems to detect model drift and automated retraining protocols, maintaining accuracy with changing data patterns. Collaborated with product teams to translate business requirements, generating $800K in additional revenue. Created reporting mechanisms to translate ML outputs into clear insights for stakeholders, enabling data-driven strategies.

Machine Learning Engineer at Humana

January 1, 2024 - Present

Led the development of HIPAA-compliant data pipelines to process healthcare claims, managing 2 million patient records efficiently. Engineered predictive features and performed parameter-efficient fine-tuning of transformer models on clinical notes, improving model accuracy and reducing computational costs by 70%. Developed NLP pipelines to process medical records with a 35% accuracy gain while ensuring PHI anonymization. Collaborated in Agile sprints with clinical teams to refine requirements, contributing to a 12% reduction in readmission rates. Deployed production models on AWS SageMaker with monitoring systems for high availability critical care support. Engineered a Retrieval-Augmented Generation system with LangChain, providing explainable AI outputs and achieving $1.2M in annual savings.

Machine Learning Engineer at Vivma Software Inc

August 1, 2022 - August 25, 2025

Designed recommendation systems using PyTorch and transformer models that increased user engagement by 23%. Implemented A/B testing with MLflow to validate model improvements and containerized models with Docker, deploying via Kubernetes at 5000+ concurrent requests. Built automated CI/CD pipelines reducing deployment time from days to hours and developed monitoring systems for model drift detection with automated retraining protocols. Partnered with product teams to translate business needs into technical specifications, generating $800K additional revenue. Created simplified reporting tools for stakeholders to access clear, actionable ML insights facilitating data-driven strategy.

Machine Learning Engineer at Humana

January 1, 2024 - Present

Built HIPAA-compliant data pipelines using Python and SQL to process healthcare claims data, enabling reliable analysis of 2M patient records while reducing preprocessing time. Engineered predictive features from structured EHR data using Pandas and NumPy to improve model input quality. Applied Parameter-Efficient Fine-Tuning (PEFT) using LoRA on transformer models trained with de-identified clinical notes, reducing training compute by 70% while preserving accuracy on healthcare NLP tasks. Developed an NLP pipeline using locally hosted transformers and domain-specific embeddings to improve medical record processing accuracy by 35% with HIPAA-compliant PHI anonymization. Collaborated with clinical teams in Agile sprints to translate healthcare needs into technical solutions that reduced readmission rates by 12%. Deployed ML models to production using AWS SageMaker and Git, implementing monitoring systems for uptime. Engineered a Retrieval-Augmented (RAG) system with LangChain and health

Machine Learning Engineer at Vivma Software Inc

August 1, 2022 - September 8, 2025

Designed recommendation systems using PyTorch and transformer models, increasing user engagement by 23%; implemented A/B testing with MLflow to verify improvements across segments. Containerized ML models using Docker and deployed via Kubernetes, serving REST APIs handling 5,000+ concurrent requests. Built automated CI/CD pipelines reducing deployment time from days to hours. Developed monitoring with MLflow to detect model drift and automated retraining with Scikit-learn; tracked performance metrics in PostgreSQL. Collaborated with product teams to translate business requirements into technical specs, delivering solutions generating $800K in additional revenue. Created simplified reporting to translate model outputs into actionable insights for stakeholders.