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I am an AI/ML-Ops Engineer with 6 years of experience in designing and deploying scalable AI and machine learning solutions, including LLM-powered chatbots and Retrieval-Augmented Generation applications. I specialize in building conversational AI systems, automating ML pipelines, and enabling enterprise-wide AI adoption leveraging AWS SageMaker, Kubernetes, and Terraform, among other tools. I am passionate about creating AI-driven applications that enhance productivity and business value. I have proven success in developing reusable MLOps frameworks that improve model lifecycle management and reliability. My skill set includes expertise in Kubernetes, Docker, CI/CD practices, cloud platforms like AWS and GCP, and a deep knowledge of AI technologies such as LangChain and Hugging Face Transformers.…I am an AI/ML-Ops Engineer with 6 years of experience in designing and deploying scalable AI and machine learning solutions, including LLM-powered chatbots and Retrieval-Augmented Generation applications. I specialize in building conversational AI systems, automating ML pipelines, and enabling enterprise-wide AI adoption leveraging AWS SageMaker, Kubernetes, and Terraform, among other tools. I am passionate about creating AI-driven applications that enhance productivity and business value. I have proven success in developing reusable MLOps frameworks that improve model lifecycle management and reliability. My skill set includes expertise in Kubernetes, Docker, CI/CD practices, cloud platforms like AWS and GCP, and a deep knowledge of AI technologies such as LangChain and Hugging Face Transformers.

Mounika Guttula

AI Engineer, AI Strategy Consultant, DevOps Developer, +1

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I am an AI/ML-Ops Engineer with 6 years of experience in designing and deploying scalable AI and machine learning solutions, including LLM-powered chatbots and Retrieval-Augmented Generation applications. I specialize in building conversational AI systems, automating ML pipelines, and enabling enterprise-wide AI adoption leveraging AWS SageMaker, Kubernetes, and Terraform, among other tools. I am passionate about creating AI-driven applications that enhance productivity and business value. I have proven success in developing reusable MLOps frameworks that improve model lifecycle management and reliability. My skill set includes expertise in Kubernetes, Docker, CI/CD practices, cloud platforms like AWS and GCP, and a deep knowledge of AI technologies such as LangChain and Hugging Face Transformers.…I am an AI/ML-Ops Engineer with 6 years of experience in designing and deploying scalable AI and machine learning solutions, including LLM-powered chatbots and Retrieval-Augmented Generation applications. I specialize in building conversational AI systems, automating ML pipelines, and enabling enterprise-wide AI adoption leveraging AWS SageMaker, Kubernetes, and Terraform, among other tools. I am passionate about creating AI-driven applications that enhance productivity and business value. I have proven success in developing reusable MLOps frameworks that improve model lifecycle management and reliability. My skill set includes expertise in Kubernetes, Docker, CI/CD practices, cloud platforms like AWS and GCP, and a deep knowledge of AI technologies such as LangChain and Hugging Face Transformers.

Available to hire

I am an AI/ML-Ops Engineer with 6 years of experience in designing and deploying scalable AI and machine learning solutions, including LLM-powered chatbots and Retrieval-Augmented Generation applications. I specialize in building conversational AI systems, automating ML pipelines, and enabling enterprise-wide AI adoption leveraging AWS SageMaker, Kubernetes, and Terraform, among other tools.

I am passionate about creating AI-driven applications that enhance productivity and business value. I have proven success in developing reusable MLOps frameworks that improve model lifecycle management and reliability. My skill set includes expertise in Kubernetes, Docker, CI/CD practices, cloud platforms like AWS and GCP, and a deep knowledge of AI technologies such as LangChain and Hugging Face Transformers.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Bashkir

Advanced

Work Experience

AI/ML-Ops Engineer at Western Alliance Bank

January 1, 2024 - Present

Led MLOps initiatives automating model deployment, optimizing ML pipelines, and implementing scalable cloud infrastructure for secure, compliant production environments. Designed and deployed LLM-powered conversational AI chatbots using Claude (Bedrock), LangChain, and agent-based reasoning workflows with GPU-accelerated Kubernetes clusters. Implemented Retrieval-Augmented Generation (RAG) to improve chatbot accuracy and reduce customer query response times. Built containerized ML deployments with Docker and Kubernetes on AWS EKS and automated CI/CD pipelines with GitLab CI/CD and MLflow, speeding model releases by 30%. Developed automated retraining pipelines with drift detection to maintain model performance, and fine-tuned transformer models using Hugging Face, increasing conversational accuracy by 25%. Managed secure secrets with HashiCorp Vault and integrated classical ML models for customer analytics and fraud detection.

MLOps Engineer at GlaxoSmithKline

December 31, 2023 - July 24, 2025

Streamlined MLOps processes within a regulated pharmaceutical environment, building scalable AWS SageMaker and EKS platforms for real-time adverse drug event detection. Automated ML pipelines using Kubeflow, MLflow, and SageMaker, reducing deployment cycles by 35%. Deployed containerized PyTorch and TensorFlow models on EKS ensuring reproducibility and compliance. Created CI/CD pipelines leveraging Jenkins and AWS CodePipeline while standardizing model training with MLflow and DVC for auditability. Built real-time monitoring dashboards with CloudWatch, Prometheus, and Grafana integrating drift detection functions to reduce issues by 40%. Implemented HIPAA-compliant security controls and designed scalable data pipelines for continuous model improvement in pharmacovigilance.

DevOps Engineer - FedEx Shipping Solutions at Mphasis Limited

November 30, 2021 - July 24, 2025

Led cloud infrastructure automation and CI/CD initiatives for FedEx’s global shipping platform. Deployed scalable AWS infrastructure including EC2, Lambda, RDS, and S3 services ensuring high availability and cost efficiency. Implemented security by configuring IAM, VPCs, and auto-scaling, and automated CI/CD pipelines using Jenkins, GitLab CI/CD, and GitHub Actions. Provisioned infrastructure via Terraform, Ansible, and CloudFormation and deployed containerized microservices using Kubernetes (EKS) with Helm charts. Integrated monitoring tools like Prometheus, Grafana, ELK Stack, and Datadog for real-time observability. Led on-premises to AWS cloud migration to enhance deployment agility and promoted DevOps best practices including GitOps and SRE principles.

AI/ML-Ops Engineer at Western Alliance Bank

January 1, 2024 - Present

Led MLOps initiatives to automate model deployment, optimize end-to-end ML pipelines, and implement cloud-native infrastructure for secure, compliant, and high-performance production environments. Launched an LLM-powered banking assistant using Anthropic Claude via AWS Bedrock and LangChain agents with GPU autoscaling. Built retrieval-augmented generation pipelines integrated with vector stores for secure internal knowledge leverage. Containerized services with Kubernetes and implemented autoscaling. Automated CI/CD pipelines with GitLab and MLflow Model Registry, improving release cycles and retraining workflows. Fine-tuned BERT and LLaMA models to enhance NLU, and deployed high-throughput TensorFlow and PyTorch inference pipelines optimized for GPUs. Ensured security compliance using HashiCorp Vault, AWS IAM, PrivateLink, and Kubernetes best practices. Centralized observability using Amazon Managed Prometheus, Grafana, CloudWatch, and OpenTelemetry.

MLOps Engineer at GlaxoSmithKline

December 31, 2023 - September 4, 2025

Led build-out of production ML pipelines for adverse drug reaction detection automating pharmacovigilance workflows processing structured and unstructured clinical data. Built end-to-end workflows using Kubeflow and SageMaker Pipelines for traceable ML operations. Leveraged Databricks for scalable data preprocessing and feature engineering. Developed and deployed deep learning models in PyTorch and TensorFlow achieving lower latency and higher accuracy. Built classical ML models for signal detection and automated retraining with event-driven AWS Lambda workflows. Implemented HIPAA-compliant CI/CD pipelines with Jenkins and AWS CodePipeline, reducing release cycles. Optimized GPU-backed inference endpoints with batching for efficient large-scale processing. Centralized system observability and enforced security with RBAC, IAM policies, and encryption. Supported collaborative model experimentation enabling rapid iteration across teams.

DevOps Engineer - FedEx Shipping Solutions at Mphasis Limited

November 30, 2021 - September 4, 2025

Led cloud infrastructure automation and CI/CD initiatives for FedEx’s global shipping platform. Deployed scalable AWS infrastructure provisioning EC2, Lambda, RDS, and S3. Optimized security with IAM roles, VPCs, and Auto Scaling. Automated pipelines using Jenkins, GitLab CI/CD, and GitHub Actions. Provisioned infrastructure with Terraform, Ansible, and CloudFormation. Deployed containerized microservices on Kubernetes (EKS) using Helm charts for scalability. Integrated observability tools including Prometheus, Grafana, ELK Stack, and Datadog. Implemented cloud security best practices and automated infrastructure management with Python and Bash scripting to reduce manual workload.