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I am Rishika Reddy Bhumireddy, an AI/ML Engineer with 4+ years of experience designing and deploying predictive models, NLP solutions, and deep learning architectures across healthcare, automotive, and financial domains. I specialize in building scalable ML pipelines with Python, TensorFlow, PyTorch, and AWS SageMaker, integrating Generative AI and LangChain to automate workflows while ensuring HIPAA-compliant, enterprise-grade solutions. I excel in data preprocessing, feature engineering, and model optimization, achieving high accuracy in fraud detection, claims automation, and predictive analytics, and I collaborate across teams in Agile environments to deliver secure, compliant results.…I am Rishika Reddy Bhumireddy, an AI/ML Engineer with 4+ years of experience designing and deploying predictive models, NLP solutions, and deep learning architectures across healthcare, automotive, and financial domains. I specialize in building scalable ML pipelines with Python, TensorFlow, PyTorch, and AWS SageMaker, integrating Generative AI and LangChain to automate workflows while ensuring HIPAA-compliant, enterprise-grade solutions. I excel in data preprocessing, feature engineering, and model optimization, achieving high accuracy in fraud detection, claims automation, and predictive analytics, and I collaborate across teams in Agile environments to deliver secure, compliant results.

Rishika Reddy Bhumireddy

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Rishika Reddy Bhumireddy, an AI/ML Engineer with 4+ years of experience designing and deploying predictive models, NLP solutions, and deep learning architectures across healthcare, automotive, and financial domains. I specialize in building scalable ML pipelines with Python, TensorFlow, PyTorch, and AWS SageMaker, integrating Generative AI and LangChain to automate workflows while ensuring HIPAA-compliant, enterprise-grade solutions. I excel in data preprocessing, feature engineering, and model optimization, achieving high accuracy in fraud detection, claims automation, and predictive analytics, and I collaborate across teams in Agile environments to deliver secure, compliant results.…I am Rishika Reddy Bhumireddy, an AI/ML Engineer with 4+ years of experience designing and deploying predictive models, NLP solutions, and deep learning architectures across healthcare, automotive, and financial domains. I specialize in building scalable ML pipelines with Python, TensorFlow, PyTorch, and AWS SageMaker, integrating Generative AI and LangChain to automate workflows while ensuring HIPAA-compliant, enterprise-grade solutions. I excel in data preprocessing, feature engineering, and model optimization, achieving high accuracy in fraud detection, claims automation, and predictive analytics, and I collaborate across teams in Agile environments to deliver secure, compliant results.

Available to hire

I am Rishika Reddy Bhumireddy, an AI/ML Engineer with 4+ years of experience designing and deploying predictive models, NLP solutions, and deep learning architectures across healthcare, automotive, and financial domains.

I specialize in building scalable ML pipelines with Python, TensorFlow, PyTorch, and AWS SageMaker, integrating Generative AI and LangChain to automate workflows while ensuring HIPAA-compliant, enterprise-grade solutions. I excel in data preprocessing, feature engineering, and model optimization, achieving high accuracy in fraud detection, claims automation, and predictive analytics, and I collaborate across teams in Agile environments to deliver secure, compliant results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Amharic

Advanced

Javanese

Advanced

Afar

Intermediate

Work Experience

AI/ML Engineer at Anthem Health, USA

January 1, 2025 - November 18, 2025

Managed AI/ML healthcare projects leveraging Agile methodologies to deliver solutions enhancing claims automation, care management workflows, and member/patient satisfaction. Built and deployed ML models in AWS SageMaker using LangChain and Generative AI to optimize claims scheduling and patient eligibility verification, improving operational efficiency. Preprocessed and cleaned 50,000+ rows of member, provider, and claims data ensuring accuracy and HIPAA compliance. Led predictive AI initiatives for fraud detection, claims risk modeling, and readmission forecasting. Developed NLP modules for semantic similarity, clustering, and summarization of healthcare documents to accelerate compliance reporting.

AI/ML Engineer at KPIT, India

July 1, 2023 - July 1, 2023

Led design and deployment of customer behavior and churn prediction models using XGBoost and Random Forest; developed NLP solutions (sentiment analysis, service ticket mining); built deep learning models (CNNs, RNNs, LSTMs) for image and sequential data; deployed scalable ML solutions on AWS Cloud; integrated AI/ML pipelines into enterprise applications; achieved >90% model accuracy across use cases; standardized model deployment and embedded ML in enterprise software using Flask APIs; collaborated across teams to deliver end-to-end AI solutions.