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Babi Adireddi

@babiadireddi

Message

I build production AI and ML systems for healthcare, clinical NLP, and fraud detection.

United States

Message

What I'm looking for

I'm looking to build scalable, production AI and ML solutions where I can apply LLMs, NLP, RAG, MLOps, and cloud deployment to healthcare or financial data challenges.

At Cigna, I build transformer-based NLP, LLM, and RAG applications for clinical text analysis, claims processing, patient insights, and treatment recommendations. My work improved clinical data extraction accuracy by 25% and response accuracy by 20%.

I design scalable healthcare ML pipelines for EHR/EMR, claims, and patient records using Python and PySpark. I deploy real-time inference with FastAPI and AWS SageMaker, reducing latency by 30%.

Previously at Cognizant, I developed machine learning solutions for financial forecasting, fraud detection, and healthcare analytics. I improved fraud model precision by 22%, reduced false positives by 28%, and built production REST APIs for real-time predictions.

I work across the full ML lifecycle, from data preprocessing and feature engineering to model training, monitoring, and CI/CD deployment. I use Python, PyTorch, TensorFlow, Hugging Face, AWS, MLflow, and distributed data tools to deliver reliable AI systems.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Cigna

Jul 2025 - Present (1 year 2 months)

Developed and fine-tuned transformer-based NLP and LLM models for clinical text analysis and claims processing, improving data extraction accuracy by 25%. Designed scalable ML pipelines and deployed real-time inference services using AWS SageMaker and FastAPI.

Python PyTorch Hugging Face RAG fastAPI AWS Sagemaker MLFlow PySpark NLP LLM CI CD Model Monitoring

Current

AI/ML Engineer

Current

Cigna

Jul 2025 - Present (1 year 2 months)

Developed and fine-tuned transformer-based NLP and LLM models for clinical text analysis and claims processing, improving data extraction accuracy by 25%. Built GenAI applications with RAG architectures and deployed real-time inference services using FastAPI and AWS SageMaker.

Python PyTorch Hugging Face RAG fastAPI AWS Sagemaker MLFlow PySpark NLP LLM Transformer Models CI CD Model Monitoring

Machine Learning Engineer

Cognizant

Jun 2020 - Aug 2023 (3 years 2 months)

Developed and deployed machine learning models for financial forecasting, fraud detection, and healthcare analytics using Python and Scikit-learn, improving prediction accuracy by 20%. Built deep learning models with TensorFlow and Keras and integrated them into production via Flask REST APIs.

Python scikit learn TensorFlow Keras SQL Flask REST APIs ETL Feature Engineering Model Evaluation MLOps AWS

Machine Learning Engineer

Cognizant

Jun 2020 - Aug 2023 (3 years 2 months)

Developed and deployed machine learning models for financial forecasting, fraud detection, and healthcare analytics, improving prediction accuracy by 20%. Built deep learning models and integrated them into production using Flask-based REST APIs.