Srikar Balmuri

AI / Machine Learning Engineer with 6+ years of hands on experience building, training, evaluating, and deploying production grade machine learning models across healthcare and financial services domains. Proven expertise in end to end ML pipelines including data processing, feature engineering, model development, evaluation, and scalable deployment on cloud platforms. Strong background in Python based ML development using Scikit learn and PyTorch, with applied experience across forecasting, risk modeling, classification, and regression use cases. Experienced in optimizing model performance, monitoring production systems, and collaborating with engineering and product teams to deliver data driven solutions. Hands on practitioner of MLOps practices including Docker based deployment, CI/CD pipelines, and cloud native ML infrastructure on AWS and Azure. Experienced in AI governance, role based access control, data security, auditability, and compliance aligned with HIPAA and enterprise security standards.

Experienced with developing and deploying machine learning algorithms that drive business insights. Utilizes statistical analysis and data mining techniques to enhance model accuracy and performance. Track record of integrating machine learning solutions into production environments, ensuring scalability and reliability.

Professional with strong foundation in machine learning and data science, prepared to drive impactful results. Expertise in developing and deploying machine learning models, optimizing algorithms, and utilizing tools like Python, TensorFlow, and PyTorch. Known for excellent team collaboration and adaptability to evolving project needs. Proven ability to solve complex problems, deliver reliable solutions, and contribute effectively to team objectives.