Himakar Reddy
Cloud AI Engineer • New York, NY • h*********@gmail.com • +15******981 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
Cloud AI Engineer with 4+ years of experience designing, deploying, and operating production AI/ML infrastructure across AWS and Microsoft Azure. Experienced building end-to-end ML pipelines and containerized model workloads using Python, Docker, Terraform, CloudFormation, and Azure DevOps. Delivered LLM-based applications using prompt engineering, retrieval-augmented generation, vector databases, and model fine-tuning to improve inference relevance and robustness in production. Implemented secure, automated CI/CD and IaC workflows and instrumented observability with Datadog, CloudWatch, and Azure Monitor for model and infra telemetry. Skilled at applying cloud-native networking and identity controls such as VPC, IAM, Azure AD, RBAC, and NSGs to enforce least-privilege deployments. Proven collaborator with data science and engineering teams to move prototypes into reliable, production-ready AI services.
Technical Skills
Programming Language: Python,PowerShell,Bash
Cloud Platforms: Amazon Web Services,Microsoft Azure,Azure Kubernetes Service,S3,IAM,Azure Active Directory,VPC,Security Groups
Version Control & Development Tools: Git
DevOps & Infrastructure: Terraform,Docker,Azure DevOps,AWS CloudFormation
Messaging & Monitoring: Datadog,CloudWatch,Azure Monitor
Machine Learning & AI: Machine Learning
Generative AI & LLMs: LLMs,Prompt Engineering,Fine-Tuning
Vector Databases & RAG: Retrieval-Augmented Generation,Vector Databases
Work Experience
Datadog
New York, NY
Cloud AI Engineer
July 2024 – Present
Observability and monitoring SaaS provider; worked on cloud infrastructure and AI/ML platforms to enable production LLM services and telemetry for model and infra health.
Tech Stack: VPC, IAM, AWS CloudWatch, Datadog, Python, Bash, Docker, Terraform, AWS CloudFormation, Vector Databases, ML Pipelines
- Designed secure AWS infrastructure using VPC and IAM to enforce least-privilege access and segmented network zones for AI workloads.
- Built end-to-end ML pipelines for data preprocessing and model training using Python and Bash to standardize reproducible training workflows.
- Developed retrieval-augmented generation workflows with vector databases to reduce LLM hallucinations and improve response relevance.
- Fine-tuned and evaluated LLM models using Python-based evaluation workflows to validate inference quality and robustness for production serving.
- Implemented Infrastructure as Code with Terraform and AWS CloudFormation to automate environment provisioning and S3-backed storage configuration.
- Automated CI/CD for containerized model and application deployments using Docker and pipeline automation to ensure repeatable releases.
- Instrumented monitoring and observability with Datadog and AWS CloudWatch to capture model and infrastructure metrics for faster incident diagnosis.
Zoho
India
Cloud Engineer
July 2021 – September 2023
Enterprise SaaS provider; supported Azure-based platform infrastructure, CI/CD, and operational readiness for production business applications.
Tech Stack: Azure Storage, Azure Kubernetes Service, Azure Active Directory, RBAC, Azure DevOps, Git, PowerShell, Azure CLI, Azure Monitor, Network Security Groups
- Designed and maintained Azure infrastructure using Virtual Machines and Network Security Groups to ensure availability and network isolation for enterprise services.
- Provisioned and managed Azure Kubernetes Service clusters to containerize and scale microservices workloads.
- Implemented identity and access controls using Azure Active Directory and RBAC to enforce least-privilege across subscription scopes.
- Developed CI/CD pipelines in Azure DevOps with Git-based repositories and YAML pipelines to automate build, test, and deployment workflows.
- Automated infrastructure provisioning and repetitive operational tasks using PowerShell and Azure CLI to reduce manual configuration errors.
- Monitored application and infrastructure health with Azure Monitor, configuring alerts and runbooks for proactive incident handling.
- Orchestrated backup and disaster recovery processes using Azure Storage snapshots and recovery procedures to improve business continuity.
Education
Virginia University of Science and Technology
Master of Science in Computer and Information Systems Security • USA
Acharya Institutes of Technology
Bachelor of Engineering in Electronics and Communication Engineering • India
Certifications
AWS Certified AI Practitioner
Microsoft Azure AI Engineer Associate
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