Jeegar Mistry

About Jeegar Mistry

Senior DevOps/MLOps Engineer | Cloud Infrastructure Architect | 20+ Years Building Scalable Enterprise SolutionsI help Fortune 500 companies modernize their infrastructure and accelerate software delivery through cloud-native DevOps practices and MLOps pipelines. WHAT I DO:• Design and implement enterprise-scale cloud infrastructure on AWS, Azure, and GCP• Build CI/CD pipelines that reduce deployment time by 70%+• Architect MLOps platforms for GenAI and LLM model deployment• Lead cross-functional teams in DevSecOps transformation initiatives• Automate infrastructure using Terraform, Kubernetes, and Infrastructure as Code KEY ACHIEVEMENTS:• Led DevOps transformation at Wells Fargo, reducing deployment cycles from weeks to hours• Architected ML infrastructure supporting 100+ data science models at scale• Implemented Kubernetes clusters serving 50M+ daily transactions at Bank of America• Mentored 20+ engineers in cloud-native development practices TECHNICAL EXPERTISE:Cloud: AWS, Azure, GCP | Containers: Docker, Kubernetes, EKS, AKSCI/CD: Jenkins, GitLab CI, GitHub Actions, ArgoCDIaC: Terraform, CloudFormation, AnsibleLanguages: Python, Java, Bash, GoMLOps: MLflow, Kubeflow, SageMaker, AzureMLMonitoring: Prometheus, Grafana, ELK Stack, Datadog BACKGROUND:• Bachelor of Technology (Computer Science)- University of Mumbai• 20+ years across financial services, government, and fintech• Deep expertise in regulatory compliance (SOX, PCI-DSS) Open to opportunities in Cloud Architecture, SRE, Platform Engineering, and MLOps roles across California, New York, Massachusetts, Chicago, Raleigh, and remote.Let\'s connect if you\'re looking for someone who can bridge the gap between development, operations, and AI/ML infrastructure!

Experience

1. Senior Dev Ml Ops Engineer

   Wells Fargo

   Aug 2024 — Present · Charlotte, NC, US

   Led end-to-end MLOps infrastructure design and implementation for GenAI/LLM workloads, architecting scalable platforms supporting 100+ ML models in production• Designed and deployed cloud-native Kubernetes clusters on AWS/Azure with auto-scaling capabilities, reducing infrastructure costs by 30% while improving model deployment speed by 50%• Built comprehensive CI/CD pipelines using Jenkins, GitLab CI, and ArgoCD, automating 90% of deployment workflows and reducing release cycles from weeks to days• Implemented Infrastructure as Code (IaC) using Terraform and Ansible, managing 500+ cloud resources with 99.9% uptime SLA• Architected monitoring and observability solutions using Prometheus, Grafana, and ELK stack, reducing MTTR by 40%• Collaborated with data science teams to optimize ML model deployment strategies, improving model inference latency by 35%

Education

• University of Mumbai

  Bachelor of Technology (BTech), Computer Science

  2002 — 2006

Skills

• Agile Methodologies
• Core Java
• Web Applications
• Sql
• Pl/Sql
• Ejb
• Web Services
• J2ee Application Development
• Maven2
• Scrum
• Hudson
• Jdbc
• Hibernate
• Sdlc
• Db2
• Spring
• Java Enterprise Edition
• Tomcat
• Xml
• Websphere
• Eclipse
• Oracle
• Soa
• Jmeter
• Junit
• Websphere Esb
• Java
• Databases
• Weblogic
• Autosys
• Servlets
• Jms
• Struts
• Stress Testing
• Solution Architecture
• Jpa
• Software Project Management
• Pre-Sales
• Javascript
• Jsp