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Hi, I'm Anoop Reddy Yeddula, an AI/ML Engineer with 5 years of experience creating data science, machine learning, and NLP solutions. I specialize in developing and deploying scalable AI models, particularly in Generative AI and cloud platforms like Azure and AWS. Collaboration and clear communication have played a big role in successfully delivering projects with cross-functional teams. I'm passionate about leveraging cutting-edge AI technologies like Mistral, Llama, and GPT to solve complex problems and optimize business processes. I enjoy working hands-on with Python, PySpark, and the latest tools to build intelligent systems that make a real difference in areas like customer service, supply chain optimization, and fraud detection.…Hi, I'm Anoop Reddy Yeddula, an AI/ML Engineer with 5 years of experience creating data science, machine learning, and NLP solutions. I specialize in developing and deploying scalable AI models, particularly in Generative AI and cloud platforms like Azure and AWS. Collaboration and clear communication have played a big role in successfully delivering projects with cross-functional teams. I'm passionate about leveraging cutting-edge AI technologies like Mistral, Llama, and GPT to solve complex problems and optimize business processes. I enjoy working hands-on with Python, PySpark, and the latest tools to build intelligent systems that make a real difference in areas like customer service, supply chain optimization, and fraud detection.

ANOOP REDDY YEDDULA

AI Engineer, Data Scientist, Developer, +3

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Hi, I'm Anoop Reddy Yeddula, an AI/ML Engineer with 5 years of experience creating data science, machine learning, and NLP solutions. I specialize in developing and deploying scalable AI models, particularly in Generative AI and cloud platforms like Azure and AWS. Collaboration and clear communication have played a big role in successfully delivering projects with cross-functional teams. I'm passionate about leveraging cutting-edge AI technologies like Mistral, Llama, and GPT to solve complex problems and optimize business processes. I enjoy working hands-on with Python, PySpark, and the latest tools to build intelligent systems that make a real difference in areas like customer service, supply chain optimization, and fraud detection.…Hi, I'm Anoop Reddy Yeddula, an AI/ML Engineer with 5 years of experience creating data science, machine learning, and NLP solutions. I specialize in developing and deploying scalable AI models, particularly in Generative AI and cloud platforms like Azure and AWS. Collaboration and clear communication have played a big role in successfully delivering projects with cross-functional teams. I'm passionate about leveraging cutting-edge AI technologies like Mistral, Llama, and GPT to solve complex problems and optimize business processes. I enjoy working hands-on with Python, PySpark, and the latest tools to build intelligent systems that make a real difference in areas like customer service, supply chain optimization, and fraud detection.

Available to hire

Hi, I’m Anoop Reddy Yeddula, an AI/ML Engineer with 5 years of experience creating data science, machine learning, and NLP solutions. I specialize in developing and deploying scalable AI models, particularly in Generative AI and cloud platforms like Azure and AWS. Collaboration and clear communication have played a big role in successfully delivering projects with cross-functional teams.

I’m passionate about leveraging cutting-edge AI technologies like Mistral, Llama, and GPT to solve complex problems and optimize business processes. I enjoy working hands-on with Python, PySpark, and the latest tools to build intelligent systems that make a real difference in areas like customer service, supply chain optimization, and fraud detection.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Javanese

Advanced

Afar

Intermediate

Work Experience

AI Engineer at Ross Stores, Dublin CA, USA

March 1, 2024 - Present

Developed an AI-powered chatbot using Rasa and Python to handle customer inquiries on products and services, enhancing service and reducing costs. Applied NLP techniques to understand customer intent and deliver real-time responses. Integrated chatbot with messaging platforms like WhatsApp and Facebook Messenger. Implemented a Chroma-based knowledge base for efficient banking-related information retrieval. Achieved significant improvements including 60% reduction in customer response time and 20% decrease in operational costs. Designed and deployed an AI agent with Langchain to optimize supply chain operations, reducing costs by 10% and improving on-time delivery by 15%.

AI Engineer at Chevron, Houston TX, USA

February 29, 2024 - July 18, 2025

Developed a real-time fraud detection system leveraging deep learning, improving model accuracy by 15% through advanced feature engineering and anomaly detection. Integrated Apache Kafka for real-time data streaming. Implemented automated alerts reducing fraud investigation response time by 50%. Deployed system using Kubernetes for scalability. Built credit risk assessment models using Python and PySpark, incorporating NLP analysis of news and social media sentiment. Applied RAG system using Llama 2 and Pinecone to enhance borrower insights and reduce manual review time by 40%. Optimized inference performance with GPU-based processing and deployed via CI/CD pipelines in Azure DevOps.

Data Scientist at Hudl, India

September 30, 2022 - July 18, 2025

Collaborated in a cross-functional team to develop data engineering solutions and advanced analytics. Automated data workflows handling over 15,000 unique equipment readings, managing a team of contractors. Analyzed hierarchical data to produce actionable insights via automated reports and dashboards. Led data acquisition and ETL processes with Python and SQL, optimized SQL queries, ensured data quality and governance compliance. Utilized distributed computing technologies like Hadoop and Spark for large-scale data processing. Supported machine learning model design and real-time KPI monitoring. Managed code with version control using GitHub and Azure.

AI Engineer at Ross Stores

March 1, 2024 - Present

Developed an AI-powered chatbot using Rasa and Python to handle customer inquiries, enhanced customer service, and reduced costs. Applied NLP to understand intent and integrated chatbot with multiple messaging platforms. Implemented a Chroma-based knowledge base, trained the chatbot on large datasets, and achieved significant reductions in response times and operational costs. Documented architecture and usage guidelines. Designed and deployed an AI agent with Langchain to optimize supply chain operations, leading to cost reductions and improved delivery rates through machine learning and automation.

AI Engineer at Chevron

February 29, 2024 - July 18, 2025

Developed a real-time fraud detection system using deep learning with TensorFlow and Keras, improving accuracy by 15%. Integrated Apache Kafka for real-time data streaming and implemented model monitoring and automated alert systems to reduce fraud investigation times. Deployed solutions on scalable Kubernetes infrastructure. Built a credit risk assessment model using Python and PySpark, applied NLP sentiment analysis, and implemented RAG systems with Llama 2 and Pinecone to reduce manual review time. Developed REST APIs using Azure API Gateway and optimized model inference performance with GPU and load balancing. Automated deployment with CI/CD pipelines in Azure DevOps.

Data Scientist at Hudl

September 30, 2022 - July 18, 2025

Collaborated on data engineering solutions supporting advanced analytics, automating data workflows and managing large-scale data pipelines using PI OSIsoft, Hadoop, and Spark. Led data acquisition, cleaning, and transformation, optimized SQL queries, and implemented data validation and governance. Built ETL processes and supported data visualization teams with accurate and accessible reporting data. Used GitHub and Azure for version control and assisted in designing machine learning models for predictive analytics and KPI monitoring.

AI Engineer at Ross Stores

March 1, 2024 - Present

Developed an AI-powered chatbot using Rasa and Python to handle customer inquiries, reducing service time by 60% and operational costs by 20%. Applied NLP techniques to improve intent detection and real-time responses, integrating with WhatsApp and Facebook Messenger. Designed and deployed AI agents with Langchain for supply chain optimization, reducing costs by 10% and improving delivery by 15%.

AI Engineer at Chevron

February 29, 2024 - July 18, 2025

Built deep learning-based real-time fraud detection systems enhancing accuracy by 15%. Integrated Apache Kafka for streaming transactions and deployed models on Kubernetes. Developed credit risk assessment models with PySpark and utilized NLP for sentiment analysis. Designed RAG systems with Llama 2 and Pinecone to reduce manual review by 40%. Automated deployments with Azure DevOps CI/CD pipelines, improving inference speeds by 25%.

Data Scientist at Hudl

September 30, 2022 - July 18, 2025

Led data engineering initiatives, automating workflows and managing big data pipelines on OSIsoft, Hadoop, and Spark frameworks. Delivered analytics and visualization solutions using SQL, Tableau, and PowerBI. Developed ETL pipelines and applied data quality controls supporting advanced analytics, governance, and predictive modeling. Collaborated on deployment and monitoring of ML models with GitHub and Azure.

Education

Master’s at Portland State University, Portland, Oregon, USA

January 1, 2017 - December 31, 2019

Bachelor’s at Dayananda Sagar University

January 1, 2013 - December 31, 2017

Master’s at Portland State University

January 1, 2017 - December 31, 2019

Bachelor’s at Dayananda Sagar University

January 1, 2011 - December 31, 2015

Master’s at Portland State University

January 1, 2017 - December 31, 2019

Bachelor’s at Dayananda Sagar University

January 1, 2011 - December 31, 2015