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I am an experienced MLOps Engineer and AI/ML specialist with over 11 years in software development, including 5 years focused on machine learning, model training, inference, and model serving. My expertise spans from data governance and analytics to advanced AI models such as CNNs, RNNs, and Large Language Models like GPT-3 and BERT. I enjoy developing scalable AI solutions, orchestrating machine learning pipelines, and applying state-of-the-art techniques to solve complex business problems. With a strong foundation in software engineering and data science, I have successfully led data-driven projects across various industries including finance, telecommunications, and healthcare. I am passionate about leveraging cloud platforms like Azure, AWS, and GCP, as well as Kubernetes and CI/CD automation, to deploy robust, secure, and performant AI systems. I thrive in collaborative environments where I can bridge business goals with cutting-edge technology to deliver measurable impact.…I am an experienced MLOps Engineer and AI/ML specialist with over 11 years in software development, including 5 years focused on machine learning, model training, inference, and model serving. My expertise spans from data governance and analytics to advanced AI models such as CNNs, RNNs, and Large Language Models like GPT-3 and BERT. I enjoy developing scalable AI solutions, orchestrating machine learning pipelines, and applying state-of-the-art techniques to solve complex business problems. With a strong foundation in software engineering and data science, I have successfully led data-driven projects across various industries including finance, telecommunications, and healthcare. I am passionate about leveraging cloud platforms like Azure, AWS, and GCP, as well as Kubernetes and CI/CD automation, to deploy robust, secure, and performant AI systems. I thrive in collaborative environments where I can bridge business goals with cutting-edge technology to deliver measurable impact.

Mallika Yerramalli

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I am an experienced MLOps Engineer and AI/ML specialist with over 11 years in software development, including 5 years focused on machine learning, model training, inference, and model serving. My expertise spans from data governance and analytics to advanced AI models such as CNNs, RNNs, and Large Language Models like GPT-3 and BERT. I enjoy developing scalable AI solutions, orchestrating machine learning pipelines, and applying state-of-the-art techniques to solve complex business problems. With a strong foundation in software engineering and data science, I have successfully led data-driven projects across various industries including finance, telecommunications, and healthcare. I am passionate about leveraging cloud platforms like Azure, AWS, and GCP, as well as Kubernetes and CI/CD automation, to deploy robust, secure, and performant AI systems. I thrive in collaborative environments where I can bridge business goals with cutting-edge technology to deliver measurable impact.…I am an experienced MLOps Engineer and AI/ML specialist with over 11 years in software development, including 5 years focused on machine learning, model training, inference, and model serving. My expertise spans from data governance and analytics to advanced AI models such as CNNs, RNNs, and Large Language Models like GPT-3 and BERT. I enjoy developing scalable AI solutions, orchestrating machine learning pipelines, and applying state-of-the-art techniques to solve complex business problems. With a strong foundation in software engineering and data science, I have successfully led data-driven projects across various industries including finance, telecommunications, and healthcare. I am passionate about leveraging cloud platforms like Azure, AWS, and GCP, as well as Kubernetes and CI/CD automation, to deploy robust, secure, and performant AI systems. I thrive in collaborative environments where I can bridge business goals with cutting-edge technology to deliver measurable impact.

Available to hire

I am an experienced MLOps Engineer and AI/ML specialist with over 11 years in software development, including 5 years focused on machine learning, model training, inference, and model serving. My expertise spans from data governance and analytics to advanced AI models such as CNNs, RNNs, and Large Language Models like GPT-3 and BERT. I enjoy developing scalable AI solutions, orchestrating machine learning pipelines, and applying state-of-the-art techniques to solve complex business problems.

With a strong foundation in software engineering and data science, I have successfully led data-driven projects across various industries including finance, telecommunications, and healthcare. I am passionate about leveraging cloud platforms like Azure, AWS, and GCP, as well as Kubernetes and CI/CD automation, to deploy robust, secure, and performant AI systems. I thrive in collaborative environments where I can bridge business goals with cutting-edge technology to deliver measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Hindi

Intermediate

Work Experience

AI/ML Engineer at Capital Group Companies

January 1, 2025 - Present

Developed and implemented data governance frameworks ensuring data quality and compliance. Managed Kubernetes clusters and built CI/CD pipelines for ML and infrastructure services. Developed performance-critical services in Go and C++. Utilized advanced data visualization and collaborated cross-functionally to define data requirements and streamline AI model deployment using Azure Databricks, MLflow, and Azure DevOps. Developed large language models and NLP solutions, including fine-tuning BERT models for customer support and sentiment analysis. Integrated AI models with cloud data lakes and APIs to enable real-time data exchange and business insights.

Machine Learning Engineer/MLOps at Capital Group Companies

January 31, 2025 - September 4, 2025

Built machine learning models including regression, decision trees, random forest, SVM, clustering, and reinforcement learning for forecasting, demand optimization, and chatbots. Automated data pipelines with Control-M and cloud services using AWS and Azure. Used Kubernetes, Kubeflow, and MLflow to automate training, deployment, and monitoring of models. Integrated AWS services for scalable AI solutions and applied generative adversarial networks for virtual tours. Developed AI pipelines with Terraform and Snowflake for real-time predictions and deployed solutions for marketing and inventory optimization.

Machine Learning Engineer at T-Mobile

August 1, 2024 - September 4, 2025

Implemented time series forecasting, CNNs, RNNs, and graph neural networks for equipment failure prediction and railway network management. Applied machine learning methods such as GBM, XGBoost, and reinforcement learning for route optimization and pricing strategy. Developed predictive maintenance models using Azure ML and AutoML. Integrated IoT data with Azure cloud services and automated MLOps pipelines. Used NLP and LLMs for fraud detection and customer insight generation. Conducted exploratory data analysis and statistical modeling for telecommunications operations and risk management.

System Integration Engineer at Kaiser Permanente

December 31, 2019 - September 4, 2025

Implemented personalized treatment recommendation models and performed advanced statistical analysis using Bayesian methods and machine learning. Fine-tuned LLAMA models to improve chatbot performance on custom datasets. Integrated data pipeline tools including AWS SageMaker and Glue, and developed optimization-based solutions using linear and integer programming. Delivered predictive analytics and visualization tools for healthcare supply chain and stock management, improving forecasting accuracy and reducing overfitting.

Software Engineer at EA Learn Inc

October 1, 2018 - September 4, 2025

Analyzed business requirements and implemented member data reconciliation using Python and Django. Developed CMS and RESTful web services supporting data curation and search functionality. Managed source control and CI/CD with GIT and Jenkins. Created MapReduce applications for data processing and dynamic reporting systems. Developed frontend and backend modules, integrating JSON REST APIs and AWS cloud services to enhance enterprise resource management solutions.