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I am an AI/ML engineer with over four years of experience designing and deploying advanced AI-driven solutions across sectors including financial services, insurance, and healthcare. I have developed expertise in prompt engineering, model deployment, and data pipeline automation, working independently to meet project deadlines and emphasizing clear client communication. I am passionate about leveraging various AI and machine learning tools to optimize workflows and improve user engagement. My experience spans building scalable ML pipelines, implementing voice and document classification technologies, and enhancing fraud detection and operational forecasting models to solve complex business problems efficiently.…I am an AI/ML engineer with over four years of experience designing and deploying advanced AI-driven solutions across sectors including financial services, insurance, and healthcare. I have developed expertise in prompt engineering, model deployment, and data pipeline automation, working independently to meet project deadlines and emphasizing clear client communication. I am passionate about leveraging various AI and machine learning tools to optimize workflows and improve user engagement. My experience spans building scalable ML pipelines, implementing voice and document classification technologies, and enhancing fraud detection and operational forecasting models to solve complex business problems efficiently.

Rishitha Keshavareddy

AI Engineer, Data Scientist, Developer, +2

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I am an AI/ML engineer with over four years of experience designing and deploying advanced AI-driven solutions across sectors including financial services, insurance, and healthcare. I have developed expertise in prompt engineering, model deployment, and data pipeline automation, working independently to meet project deadlines and emphasizing clear client communication. I am passionate about leveraging various AI and machine learning tools to optimize workflows and improve user engagement. My experience spans building scalable ML pipelines, implementing voice and document classification technologies, and enhancing fraud detection and operational forecasting models to solve complex business problems efficiently.…I am an AI/ML engineer with over four years of experience designing and deploying advanced AI-driven solutions across sectors including financial services, insurance, and healthcare. I have developed expertise in prompt engineering, model deployment, and data pipeline automation, working independently to meet project deadlines and emphasizing clear client communication. I am passionate about leveraging various AI and machine learning tools to optimize workflows and improve user engagement. My experience spans building scalable ML pipelines, implementing voice and document classification technologies, and enhancing fraud detection and operational forecasting models to solve complex business problems efficiently.

Available to hire

I am an AI/ML engineer with over four years of experience designing and deploying advanced AI-driven solutions across sectors including financial services, insurance, and healthcare. I have developed expertise in prompt engineering, model deployment, and data pipeline automation, working independently to meet project deadlines and emphasizing clear client communication.

I am passionate about leveraging various AI and machine learning tools to optimize workflows and improve user engagement. My experience spans building scalable ML pipelines, implementing voice and document classification technologies, and enhancing fraud detection and operational forecasting models to solve complex business problems efficiently.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Generative AI Engineer at Commerce Bank

October 1, 2024 - Present

Spearheaded the design and deployment of AI-driven solutions including RAG pipelines to automate customer support workflows, enhancing accuracy and reducing handling time. Optimized LLM performance using prompt engineering to reduce hallucinations in banking-specific AI use cases. Built intelligent chatbots with memory and learning capabilities, implemented voice agent technologies to transcribe and summarize support calls with high accuracy, and ensured regulatory compliance by partnering with security teams. Automated workflows integrating AI models using tools like n8n and Zapier, and maintained detailed documentation for onboarding and troubleshooting.

Machine Learning Engineer at Liberty Mutual Insurance

September 30, 2024 - August 20, 2025

Developed fraud detection and claim forecasting models leveraging XGBoost and LightGBM, enhancing insurance processing workflows. Built real-time and batch ML pipelines on AWS SageMaker and Lambda for low-latency inference. Automated CI/CD pipelines using GitHub Actions and AWS CodePipeline. Engineered feature workflows, automated hyperparameter tuning, and collaborated with data engineers to handle large datasets. Integrated dashboards for model monitoring and applied prompt engineering to optimize model performance and reduce biases. Streamlined data workflows through automation tools such as n8n and Zapier.

Data Scientist at Wells Fargo

June 30, 2023 - August 20, 2025

Analyzed millions of transactions to improve fraud detection systems and reduce false positives. Built unsupervised anomaly detection models and developed dashboards for real-time monitoring of model accuracy and risk scores. Integrated ML models into automated reporting pipelines using Airflow. Ensured privacy compliance during model training and deployment. Created ensemble classification models and deployed forecasting models for ATM cashout patterns. Applied prompt engineering and automation tools like n8n and Zapier to enhance efficiency and model performance. Effectively communicated technical concepts to stakeholders.

Data Scientist at Merck Group

April 30, 2022 - August 20, 2025

Developed clinical research dashboards and processed large datasets to build predictive models enhancing decision-making. Deployed scalable ML models using Flask, Docker, Kubernetes and monitored performance with MLflow. Automated CI/CD pipelines using Jenkins and Git. Built ETL pipelines with Apache Airflow integrating biomedical datasets into Snowflake. Enabled real-time streaming analytics for patient monitoring. Engineered microservices architectures for cloud deployment. Leveraged automation tools like n8n and implemented prompt engineering for optimized model performance, while communicating results effectively to stakeholders.