Sanket Kulharia
Generative ai | AIops | MLops | DevOps
Bengaluru
Summary
As a dedicated and passionate AIOps Engineer, I seek to leverage my expertise in automation and CI/CD to optimize both software delivery and machine learning pipelines. I have hands-on experience with Azure DevOps, Terraform, Docker, AKS, GitHub, and Azure Repos, with a strong foundation in Infrastructure as Code (IaC), containerization, and orchestration. My experience extends to MLOps, where I automate end-to-end ML workflows, ensuring smooth deployment, scalability, and reproducibility of models. I integrate AIOps to enhance system monitoring, anomaly detection, and automated incident resolution, improving overall system uptime. Recently, I have expanded into Large Language Models (LLMs), focusing on deploying and fine-tuning them in cloud-native environments. Through continuous learning and the adoption of emerging technologies, my objective is to drive innovation, streamline workflows, and contribute to a forward-thinking team of technologists.
Professional system engineering specialist with extensive experience in designing, deploying, and maintaining robust IT infrastructures. Consistently ensures high levels of system reliability and security. Known for excellent team collaboration and adaptability, leveraging analytical skills and problem-solving expertise.
Overview
6
6
years of professional experience
4
4
years of post-secondary education
10
10
Certifications
Work History
Senior System Engineer
Zensar Technologies
11.2024 - Current
- Provisioned resources and managed access through Azure Portal, setting up secure environments for the project.
- Automated CI/CD pipelines with Azure DevOps for seamless code integration, model training, and deployment.
- Used Azure ML Studio to develop, track, and register machine learning models, ensuring version control.
- Deployed models as REST endpoints and integrated them with Azure AI services, including Cognitive Services and LLM APIs, for enhanced AI features.
- Ensured scalability, security, and monitoring through Azure Monitor and Azure Key Vault.
- Integrated LLM APIs (e.g., OpenAI, Azure OpenAI) into DevOps workflows to automate documentation, code reviews, and release notes generation.
- Implemented MLOps pipelines using Azure ML and GitHub Actions to streamline model training, validation, and deployment for scalable AI applications.
- Enabled AIOps-based monitoring for AKS clusters to detect anomalies, auto-resolve incidents, and predict infrastructure bottlenecks.
- Deployed fine-tuned LLMs in AKS for intelligent chatbots and AI assistants across customer-facing applications.
- Automated retraining and versioning of machine learning models with Terraform-managed CI/CD pipelines.
- Established secure access and audit logging for LLM and ML endpoints using Azure AD and service principals.
- Optimized container lifecycle management for GenAI workloads using Kubernetes Horizontal Pod Autoscaler (HPA).
- Enabled real-time GenAI-powered analytics for logistics dashboards using Azure Event Hubs and ML inference APIs.
Associate Technical Service Engineer
Fujitsu Consulting India
08.2022 - 11.2024
- Successfully delivered six infrastructure automation projects using Terraform to design precise, declarative configurations for accurate and consistent cloud resource provisioning.
- Leveraged Terraform's state management (TFstate) and modular architecture to orchestrate efficient, scalable deployments across Azure.
- Configured both Azure Classic and YAML pipelines to manage legacy and modern infrastructure, demonstrating expertise in Infrastructure as Code (IaC), Platform as a Service (PaaS), and CI/CD practices.
- Integrated Azure Machine Learning (Azure ML) to automate model training, deployment, and lifecycle management, and utilized Azure AI services-including Cognitive Services and LLM endpoints to embed intelligent features into applications and streamline operations.
- Applied Kubernetes for container orchestration and Docker for containerization to optimize resource utilization and improve deployment agility.
- Collaborated with cross-functional teams to resolve deployment challenges, continuously improving infrastructure automation practices while staying updated on emerging technologies in Kubernetes, Docker, and cloud-native AI solutions.
- Used SonarQube, Mend security depandbot and other tools to ensure code quality and enforce security compliance within CI/CD pipelines.
- Created streamlined DevOps channels across the organization, resulting in 99% of project deadlines being consistently met.
- Led the implementation of Helm charts to package, manage, and deploy applications on Kubernetes clusters.
- Configured key Azure services including IAM (SSO, MFA, RBAC), Azure Firewalls, AD, ARM, Blob Storage, VMs, SQL DB, Azure Functions, Service Fabric, Monitor, Service Bus, VNets, Subnets, Bastion, Key Vaults, and Load Balancers for enterprise-grade workloads.
- Integrated Prometheus and Grafana with Kubernetes to provide real-time system metrics, alerts, and dashboards.
- Dockerized tools like Jenkins and GitLab, enabled dynamic slave provisioning, and created multi-stage Dockerfiles.
- Used Helm and Terraform for version-controlled Kubernetes configurations and deployment automation.
- Architected cloud solutions using Microsoft's Cloud Adoption Framework. Led cloud migration, improving scalability, cost-efficiency, and governance alignment.
- Built automated MLOps pipelines using Azure ML, GitHub Actions, and Azure DevOps.
- Integrated Azure Monitor and Log Analytics for intelligent system monitoring.
DevOps Engineer
Stark Trux Private Limited
12.2018 - 07.2022
- Developed ARM templates and integrated them with Azure DevOps pipelines, configuring YAML to automate deployment processes and streamline infrastructure provisioning workflows.
- Managed cloud resources, implemented robust security measures, and optimized the performance of Azure services and infrastructure configurations along with that set up Azure classic pipelines to support legacy systems.
- Develop and maintain CI/CD pipelines using Azure DevOps, Terraform, and Git for streamlined code deployment and robust infrastructure management.
- Use tools like SonarQube to follow security guidelines and fix DevOps problems, keeping your systems safe and reliable.
- Managed AKS clusters in Azure, including node pools, networking, and load balancing.
- Responsible for designing, creating, and managing build and release pipelines using Azure Yaml Pipelines.
- Managed branching and merging code lines in GIT, and resolved merge conflicts.
- Responsible for day-to-day builds and deployments in pre-production and production environments.
- Configuration of NICs and DNS zones essential for application migration.
Education
Bachelor's degree -
Rohilkhand University
05.2015 - 06.2019
Skills
YAML
HCP
Python
Terraform
Docker
Kubernetes
Ansible
Azure DevOps
Linux (Redhat, Ubuntu, Alpine)
Git/GitHub
Servicenow
Continuous Integration
Continuous Delivery
Continuous Deployment
Bash
JIRA
Powershell
Microsoft Azure Services
Chef
Azure MLops
Nginx
Tomcat
Nagios
AWS Services
ARM Template
Shell Scripting
Prometheus
Grafana
Azure Board
Kibana
Azure repos
Shell Scripting
DockerFile
NIC
Azure Site Reliability
Azure Kubernetes Service
Application Gateway
WAF
Frontdoor
Certification
Microsoft Certified: Azure Administrator Associate
Timeline
Senior System Engineer
Zensar Technologies
11.2024 - Current
Associate Technical Service Engineer
Fujitsu Consulting India
08.2022 - 11.2024
DevOps Engineer
Stark Trux Private Limited
12.2018 - 07.2022
Bachelor's degree -
Rohilkhand University
05.2015 - 06.2019