Machine Learning Continuous Improvement

NICHOLAS GULRAJANI

Boca Raton, Florida ***** 802-***-****

********.*********@*****.*** https://www.linkedin.com/in/nicholas-gulrajani/ SUMMARY

A technically proficient, highly analytical senior solutions architect with comprehensive expertise in cloud services, cybersecurity management, technology development, continuous improvement, and machine learning. Acts as a technical leader / principal architect for cloud and AI services, driving business outcomes by emphasizing expert knowledge and guiding the application of cloud-native technologies. Strives to make a difference with people, processes, and dynamic technologies by fostering solutions that best meet business and technical needs. Proven success in promoting technical excellence for several leading, cross-industry enterprises. Automation Services AWS, Azure, and GCP Cloud Infrastructures Software Engineering Staff Coaching and Mentoring Advising / Consulting Intelligent Engineering Application Development Ai Gen AI and MLOps Services Customer Success CI/CD GitOps Pipeline Development KEY ACCOMPLISHMENTS

• Experienced AI and ML Cloud Architect. Have gained Expertise in deploying scaled cloud architectures for AWS, Azure, and GCP adopting Cloud Adoption Framework

• I designed and modeled Gen AI (RAG) solutions encompassing Sentiment Analysis, Doc AI, Prompt Engineering, and AI / ML Prediction Models and Deployment

• Leveraged AI MLOps frameworks AI MLflow and Kubeflow to deploy AI models

• Architected and deployed eCommerce applications to App Services and to AKS using Azure Serverless Functions

• Architected and deployed eCommerce applications to EKS using AWS Lambda functions

• Architected and deployed eCommerce applications to AKS by using Azure Serverless Functions and EKS and by using AWS Lambda functions.

• Architected and deployed (Landing Zones) for AWS, GCP, and Azure Cloud Services. Built and deployed DevOps CI / CD pipelines with automation, workflow, and governance using Quality Gates and analytics for big data, Microservices to Kubernetes (K8s) clusters, and Nodejs Web apps.

• Accelerated software development/delivery in deploying applications to public cloud (AWS), GCP, and Azure by leveraging Terraform (IAC), Terraform (TF), and TF Sentinel, OPA, Vault, Nomad / Consul, and ISTIO mesh services.

• Architected and built use cases deploying Microservices (Docker containers) and Kubernetes (K8s) for orchestration to Google Cloud Platform, AWS, and Azure Platforms (recent activities included threat modeling N-Tier applications and leveraging GitOps framework to Kubernetes Infrastructures).

• Serviced various companies in various verticals by transforming their current N-Tier SOA-based or greenfield apps into microservices, containerization and orchestration, and deployments. Using domain-driven design principles and API Gateways, Load Balancers, and CDN

• Used Prometheus and Grafana for metrics and visualization. Use Case: Built A custom service that calls OPA and exposes policy results as Prometheus metrics and Grafana for evaluating the results

• Leveraged DevSecOps and Platform Engineering Principles along with Metrics and Visualization. Technologies Azure DevOps, GitHub Actions, Jenkins and GitLab, Prometheus and Grafana TECHNICAL SKILLS

Cloud Platforms: Google Cloud Platform, Amazon Web Services, Azure Version Control: Git and SVN

Nicholas Gulrajani, Page 2

OS: Red Hat Linux, CentOS, MacOS and Windows

Languages: NodeJS/React Frameworks, .NET, Java, and Python Domains: Cloud Services (AWS, GCP, and Azure Coupled with GenAI and ML Services), Architecting and Implementing DevSecOps CI-CD Pipelines, Platform Engineering, Docker Container and Domain Driven Design Microservices, Orchestration Services leveraging Kubernetes (K8s), Service Mesh with ISTIO And Consul, Secrets Management with Hashi Vault Orchestration: K8s, Azure DevOps, GitLab, GitHub Actions, CI Jenkins CI and Bitbucket Observability and Insights: Grafana, Prometheus

Policy As Code: Open Policies Agent and Cloud Custodian Secure Frameworks: NIST AI Risk Management Framework (AI RMF) and cybersecurity, OWASP Zap top 10 and CIS Controls, SNYK

, SonarQube

EXPERIENCE

CDW, Vernon Hills, Illinois Principal Cloud Architect, 2021-2024 PROFESSIONAL SUMMARY

Senior AI – MLOps Architect with extensive experience designing and implementing enterprise-scale machine learning operations. I specialize in building robust AI ML pipelines and architectures that bridge the gap between data science and production environments. Proven expertise in:

- Architected and maintained end-to-end MLOps pipelines using TensorFlow, PyTorch, and scikit-learn, enabling seamless model deployment and monitoring

- Implemented cloud-native ML infrastructure on AWS/Azure, leveraging services like SageMaker, EC2, Lambda, and S3 for scalable model training and deployment

- Established CI/CD pipelines using Jenkins and GitLab CI/CD, reducing model deployment time by implementing automated testing and validation workflows

- Orchestrated containerized ML applications using Docker and Kubernetes, ensuring consistent model performance across development and production environments

- Developed infrastructure-as-code using Terraform/CloudFormation for reproducible ML environment setup

- Led cross-functional teams of data scientists, engineers, and DevOps professionals, fostering a culture of continuous learning and innovation

- Implemented comprehensive model monitoring solutions to track performance metrics, data drift, and regulatory compliance

- Implemented Real-Time Financial Sentiment Analysis with NLP

- AI-Powered personalized Health Recommendation System

- Implemented Fraud Detection with Graph Analysis in Financial Network

- Developed and implemented a RAG (Retrieval Augmented Generation) system for a medical devices company, resulting in specific 40% faster document retrieval

Technical Skills:

- MLOps Tools: MLflow, Kubeflow, Docker, Kubernetes

- Programming: Python, Java

- Cloud Platforms: AWS (S3, EC2, Lambda, Glue, SageMaker), Azure, GCP Nicholas Gulrajani, Page 3

- ML Frameworks: TensorFlow, PyTorch, scikit-learn

- CI/CD: Jenkins, GitLab CI/CD, GitHub Actions

- Infrastructure: Terraform, CloudFormation

WWT, St. Louis, Missouri S / W Consultant, 2020-2021

• Through automated testing and continuous deployment capabilities for healthcare provider development teams, I have enabled faster application delivery to improve patient services.

• Fostered and enabled application teams to reliably scale and rapidly deploy microservices by automating containerized infrastructure through Kubernetes, accelerating release velocity.

• Promoted and enabled scalable and portable infrastructure provisioning across clouds through infrastructure as code for faster environment setup and lower costs.

AWS Cloud Services

• Cloud Migration & Architecture

o Led enterprise-wide AWS adoption using AWS Migration Hub o Designed and implemented AWS Landing Zone architecture o Established Well-Architected Framework governance model

• AWS-Specific Implementations

o Deployed and managed Amazon EKS clusters for containerized workloads o Utilized AWS IAM for fine-grained access control o Set up AWS Organizations for multi-account management

• Security & Compliance

o Implemented Zero Trust architecture using AWS Security Hub o Established threat detection with AWS GuardDuty

o Automated security compliance using AWS Config

o Managed secrets using AWS Secrets Manager

• DevOps & Automation

o Built CI/CD pipelines using AWS CodePipeline/CodeBuild/CodeDeploy o Implemented Infrastructure as Code using AWS CloudFormation/CDK o Automated resource provisioning with AWS Service Catalog

• Monitoring & Operations

o Set up CloudWatch for comprehensive monitoring

o Implemented AWS X-Ray for distributed tracing

o Established AWS Cost Explorer for optimization

o Used Amazon EventBridge for event-driven architecture

• Business Impact

o Reduced operational costs by 45% through AWS Reserved Instances o Achieved auto-scaling efficiency saving 35% in compute costs o Increased deployment frequency from monthly to daily releases using AWS CodePipeline GIGSTER, San Francisco, California Senior Manager, DevOps / Architect, 2019-2020

• Established DevSecOps patterns by codifying CI / CD pipelines with Shift Left strategies (unit testing and security scanning).

• Implemented a library of policy-as-code services (OPA) Open Policies Agent for AWS / GCP and Azure. ACCENTURE, St. Petersburg, Florida Senior Manager, Intelligent Engineering Services, 2017-2019

• Played a vital role as senior DevOps architect and implementer at various clients across banking, insurance, utility, pharmaceuticals, and travel industries.

Nicholas Gulrajani, Page 2

• Worked to architect, implement, and deliver CI / CD pipelines for effectively addressing various case uses associated with big data, Salesforce.com, and web apps.

PLUTORA, Mountain View, California Senior Solutions Consultant, 2016-2017

• Architected and implemented release management solutions in pre- / post-sales situations.

• Serviced Verizon, COX, DELL, British Telecom, British Gas, and Telefonica regarding release management. MIRANTIS, Campbell, California Senior Director, Enterprise PaaS Solutions, 2015-2016

• Leveraged PaaS Platforms to include OpenStack (Murano), Pivotal Cloud Foundry, and architect and build out DevOps CI-CD workflows, including Docker-based for clients in pre-sales and POC situations.

• Architected and built Jenkins and Eclipse IDE Integration to OpenStack Murano.

• Collaborated with product management and engineering and provided PaaS CI-CD developer producer-consumer models for inclusion in OpenStack product releases.

COLLABNET, Alpharetta, Georgia Senior S / W Solutions Architect, 2005-2015

• Worked with senior managers in various companies, including Walmart, Pfizer, ADP, Misys, DST, Coca-Cola, and Moody’s, to provide solutions to problems around geographic dispersed development and collaboration.

• Drove sales campaigns to closure.

• Consulted and built value by adding integrations to products using Web Services API.

• Built and demonstrated custom demonstrations mapped to prospect’s business and technical requirements with use cases using CollabNet TeamForge solutions and tools to include Chef, Puppet, and ARA Solutions (i.e., Automic, Eclipse, Git, Subversion, VS.NET, and JavaScript.

EDUCATION

TEXAS A&M UNIVERSITY, College Station, Texas

B.S., Electrical Engineering

CERTIFICATIONS

Azure AI Services

AWS AI Practitioner

PROFESSIONAL DEVELOPMENT

MIT AI / ML Program

IBM Basic Blue

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