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Hi! I'm Anukeerthi Reddy, an AI/ML engineer with over three years of experience creating and deploying cutting-edge machine learning models and AI solutions. I specialize in building end-to-end data pipelines, working with both supervised and unsupervised learning techniques, and integrating AI into scalable systems via cloud platforms like AWS and Azure. I love using AI to solve real-world problems and automate processes. I'm passionate about collaborating with diverse teams and turning large, noisy datasets into actionable insights. Whether it's fraud detection, NLP chatbots, or personalized recommendations, I strive to deliver impactful AI-driven results that improve business outcomes and customer experiences.…Hi! I'm Anukeerthi Reddy, an AI/ML engineer with over three years of experience creating and deploying cutting-edge machine learning models and AI solutions. I specialize in building end-to-end data pipelines, working with both supervised and unsupervised learning techniques, and integrating AI into scalable systems via cloud platforms like AWS and Azure. I love using AI to solve real-world problems and automate processes. I'm passionate about collaborating with diverse teams and turning large, noisy datasets into actionable insights. Whether it's fraud detection, NLP chatbots, or personalized recommendations, I strive to deliver impactful AI-driven results that improve business outcomes and customer experiences.

Anukeerthi Reddy Pothepalli

AI Engineer, Data Scientist, AI Developer, +1

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Hi! I'm Anukeerthi Reddy, an AI/ML engineer with over three years of experience creating and deploying cutting-edge machine learning models and AI solutions. I specialize in building end-to-end data pipelines, working with both supervised and unsupervised learning techniques, and integrating AI into scalable systems via cloud platforms like AWS and Azure. I love using AI to solve real-world problems and automate processes. I'm passionate about collaborating with diverse teams and turning large, noisy datasets into actionable insights. Whether it's fraud detection, NLP chatbots, or personalized recommendations, I strive to deliver impactful AI-driven results that improve business outcomes and customer experiences.…Hi! I'm Anukeerthi Reddy, an AI/ML engineer with over three years of experience creating and deploying cutting-edge machine learning models and AI solutions. I specialize in building end-to-end data pipelines, working with both supervised and unsupervised learning techniques, and integrating AI into scalable systems via cloud platforms like AWS and Azure. I love using AI to solve real-world problems and automate processes. I'm passionate about collaborating with diverse teams and turning large, noisy datasets into actionable insights. Whether it's fraud detection, NLP chatbots, or personalized recommendations, I strive to deliver impactful AI-driven results that improve business outcomes and customer experiences.

Available to hire

Hi! I’m Anukeerthi Reddy, an AI/ML engineer with over three years of experience creating and deploying cutting-edge machine learning models and AI solutions. I specialize in building end-to-end data pipelines, working with both supervised and unsupervised learning techniques, and integrating AI into scalable systems via cloud platforms like AWS and Azure. I love using AI to solve real-world problems and automate processes.

I’m passionate about collaborating with diverse teams and turning large, noisy datasets into actionable insights. Whether it’s fraud detection, NLP chatbots, or personalized recommendations, I strive to deliver impactful AI-driven results that improve business outcomes and customer experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Intermediate

Work Experience

AI/ML Engineer at AIG, USA

February 1, 2025 - Present

Engineered machine learning pipelines to detect insurance fraud and predict claim approvals using Scikit-learn, XGBoost, and MLflow, focusing on model scalability and deployment efficiency. Integrated Large Language Models into agentic AI workflows on AWS, automating document triage and policy matching, reducing response times and manual interventions. Led preprocessing of large noisy datasets from Redshift to improve model input consistency, achieving a lift in recall for high-risk claim classification. Designed and deployed Retrieval Augmented Generation pipelines with OpenAI APIs and Azure Functions, boosting customer support accuracy. Conducted experiment tracking and tuned ML models on AWS SageMaker, optimizing deployment workflows for stable inference. Visualized fraud patterns, leading to policy updates and improved fraud flagging. Integrated Azure AI Foundry to streamline model lifecycle management and scalability.

Machine Learning Engineer at Streebo Inc., India

July 31, 2023 - July 31, 2025

Designed and fine-tuned NLP pipelines using Rasa, SpaCy, and fastText, improving entity recognition and multilingual intent detection for banking and retail chatbots. Collaborated to clean and manage large claim datasets from AWS Redshift and Snowflake, improving fraud detection model performance. Developed deep learning and clustering models with TensorFlow and Scikit-learn to personalize product recommendations. Implemented sentiment analysis to adapt chatbot responses, increasing customer satisfaction. Deployed BERT-based models reducing misclassification in financial queries and automating transactional support tasks. Engineered feature extraction pipelines improving recall in conversational AI. Integrated Firebase and MongoDB for real-time syncing, reducing chatbot latency. Built anomaly detection models enhancing fraud detection recall and compliance alerts.