Vamsi Prasad Putsala

Vamsi Prasad Putsala

About

Detail

Senior ML and Agentic AI Engineer at Erie Insurance Group
California, United States

Contact Vamsi regarding: 
work
Full-time jobs

Timeline


work
Job
school
Education

Résumé


Jobs verified_user 0% verified
  • Erie insurance group
    Senior ML and Agentic AI Engineer
    Erie insurance group
    Mar 2025 - Current (1 year 6 months)
    Architected and led the development of an enterprise-scale Agentic AI, LLM inference, and MLOps platform on AWS using Amazon SageMaker, AWS Bedrock AgentCore, and Amazon Q, IAM management, and Deployment standards and checks leveraging Python, Terraform, YAML, and AWS Strands to power intelligent insurance solutions. • Oversaw the end-to-end deployment lifecycle for production applications, integrating Site Reliability Engineering (SRE) principles to ensure high availability and robust system performance. • Managed complex DevOps workflows and IAM administration, securing infrastructure and streamlining operations across cloud environments to support scalable AI deployments.
  • Mondee AI Labs
    Machine Learning Ops & Data engineer
    Mondee AI Labs
    Feb 2023 - Mar 2025 (2 years 2 months)
    • GenAIOps (FMOps): Augmented the ML framework to support Foundational Models like Llama and ChatGPT in the production via an internal API setup (and Streamlit) achieving the Retrieved Augmented Generation (RAG) prompt engineering framework for the AI chatbot models. • Built and Executed Product Recommendation models on GCP Big-Query tables which will help to build recommendation engines for Airlines. • Gateway LLM layer: Built a Gateway and security guardrails (data anonymization) layer application for data science teams to regulate and monitor the Azure OpenAI calls (to ensure the customer PII data is not being submitted to OpenAI directly) • GenAI/ML Design Patterns: Integrated industry standard ML framework patterns to utilize Azure and
  • Mastercard
    Machine Learning Engineer
    Mastercard
    Apr 2018 - Jan 2021 (2 years 10 months)
     ML Framework: Built state-of-the-art scalable machine learning system on AWS cloud infrastructure that automates the rapid data science experimentation from research to production for credit card fraud detection.  ML Engineering: Containerized (Docker) and deployed the re-producible machine learning models into production through Jenkins CI/CD orchestration onto AWS ECR Repositories/blobstores/k8s after code reviews in an agile process.  Research, POC(Proof of concept) and Analysis: Performed both small-scale and large-scale analysis on both structured and unstructured data and built proof-of- concept analytical models and proposed the solutions to the business management using state-of-the-art ML, DL and Transformer-BERT (LLMs) and NLP
Education verified_user 0% verified
  • Bowling Green State University
    Master of Technology - MTech, Information Technology Project Management
    Bowling Green State University
    Jan 2021 - Dec 2022 (2 years)