I am a results-driven AI/ML engineer with over 3 years of experience designing, training, and deploying scalable machine learning solutions primarily in healthcare and financial services. I specialize in building end-to-end ML pipelines, integrating large-scale data, and delivering predictive analytics that enhance decision-making. I am proficient in Python, TensorFlow, and PyTorch, and comfortable working on cloud platforms such as AWS and Azure. I enjoy collaborating with cross-functional teams in Agile environments to translate business requirements into impactful AI solutions. My experience ranges from risk modeling in financial services to predictive models for patient care in healthcare. I am passionate about leveraging AI to solve complex real-world problems while ensuring compliance with industry standards.

Aditya Chintala

I am a results-driven AI/ML engineer with over 3 years of experience designing, training, and deploying scalable machine learning solutions primarily in healthcare and financial services. I specialize in building end-to-end ML pipelines, integrating large-scale data, and delivering predictive analytics that enhance decision-making. I am proficient in Python, TensorFlow, and PyTorch, and comfortable working on cloud platforms such as AWS and Azure. I enjoy collaborating with cross-functional teams in Agile environments to translate business requirements into impactful AI solutions. My experience ranges from risk modeling in financial services to predictive models for patient care in healthcare. I am passionate about leveraging AI to solve complex real-world problems while ensuring compliance with industry standards.

Available to hire

I am a results-driven AI/ML engineer with over 3 years of experience designing, training, and deploying scalable machine learning solutions primarily in healthcare and financial services. I specialize in building end-to-end ML pipelines, integrating large-scale data, and delivering predictive analytics that enhance decision-making. I am proficient in Python, TensorFlow, and PyTorch, and comfortable working on cloud platforms such as AWS and Azure.

I enjoy collaborating with cross-functional teams in Agile environments to translate business requirements into impactful AI solutions. My experience ranges from risk modeling in financial services to predictive models for patient care in healthcare. I am passionate about leveraging AI to solve complex real-world problems while ensuring compliance with industry standards.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

AI/ML Engineer at Rocket Mortgage
September 1, 2024 - Present
Designed and deployed machine learning models for mortgage risk scoring and loan approval predictions, improving approval accuracy by 18%. Built end-to-end data pipelines integrating structured and unstructured datasets including credit reports and customer logs. Applied NLP techniques for sentiment analysis to reduce loan processing delays by 12%. Created real-time Power BI dashboards for risk mitigation and collaborated with compliance teams to ensure SOX and financial data governance adherence. Optimized models with hyperparameter tuning and ensemble methods, improving reliability by 15%. Worked with DevOps to containerize ML models using Docker and Kubernetes, reducing deployment time by 40%.
Machine Learning Engineer at Athenahealth, Inc.
July 1, 2023 - August 26, 2025
Developed predictive models for patient readmission and chronic disease management, reducing hospital readmission rates by 15%. Engineered ETL pipelines using Python, SQL, and Spark to integrate EMR and claims data following HL7/FHIR standards. Implemented deep learning models for medical imaging classification with 92% accuracy using TensorFlow and PyTorch. Deployed models on AWS SageMaker and Azure ML for scalability and security. Automated data quality checks and anomaly detection, reducing manual validation effort by 30%. Designed RESTful APIs for model inference to integrate with clinical applications. Mentored junior data scientists and contributed to Agile sprint planning and code reviews, improving team efficiency by 20%.

Education

Master of Science at Texas Tech University
August 1, 2023 - May 1, 2025
Bachelor of Technology at SRM Institute of Science & Technology
June 1, 2019 - May 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Life Sciences, Software & Internet

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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