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I am a Los Angeles-based Professional with 17+ years of work experience where I took roles of Full Stack Developer, Project Manager, Solutions Architect, Team Lead, DevOps Engineer, Project Consultant, Cloud Consultant, Cloud Architect, etc. I have a rich portfolio of Web and Mobile Apps(both iOS and Android). ***************** I have led Projects for well-known companies like Sony Pictures, Paramount Pictures, 20th Century Fox, Prince Cruise Line(PCL), Masimo, and Creative Artist Agency. ***************** As a Full Stack Developer/Team Lead/Project Manager/Solutions Architect I have extensive experience with a Web application, Mobile Applications, Desktop Application Development, UI/UX Design, Tech Support, Cloud Architect, and Consulting Projects involving technologies like Wordpress, PHP, Java, Python, C#, Javascript, React, Angular, Node.js, Express.js, Shopify, Swift, Objective-C, React Native, AWS, GCP, Microsoft Azure, etc. - Build and develop the project team to ensure maximum performance, providing purpose, direction, and motivation. - Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation. - To coordinate internal and external resources, ensuring projects remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments. - Analyze project progress and, when necessary, adapt scope, timelines, and costs to ensure that the project team adheres to project requirements. - Establish and maintain relationships with appropriate client stakeholders, providing day-to-day contact on project status and changes As DevOps/Cloud Engineer I have extensive experience in designing, implementing, and maintaining complex Cloud-based infrastructure with a focus on security, scalability, and high availability. AWS Services: Deployment Automation: Proficient in automating deployment processes using AWS CloudFormation, Terraform, and Ansible to reduce errors and improve speed. Continuous Integration and Delivery: Skilled in setting up CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, and Jenkins for automated build, test, and deployment processes. Monitoring and Alerting: Capable of setting up monitoring systems using AWS CloudWatch, Prometheus, and Grafana to identify performance issues proactively. Security and Compliance: Knowledgeable in implementing security best practices and automated compliance checks using AWS Config and AWS Security Hub. Cost Optimization: Experienced in optimizing AWS spending using tools like AWS Cost Explorer, AWS Budgets, reserved instances, spot instances, and auto-scaling. Microsoft Azure Services: DevOps Strategies: Proficient in designing and implementing effective DevOps strategies using Microsoft Azure for continuous integration, delivery, and deployment. Infrastructure Provisioning and Configuration: Experienced in provisioning and configuring Azure infrastructure using tools like Azure Resource Manager (ARM) templates and Terraform. Continuous Integration and Continuous Deployment (CI/CD): Skilled in establishing CI/CD pipelines using Azure DevOps for automated build, test, and deployment processes. Automation and Orchestration: Capable of automating tasks and processes using PowerShell, Azure CLI, Azure Automation, and Azure Logic Apps to streamline operations. GCP Services: Deployment Automation: Proficient in automating deployment processes using tools like Google Cloud Deployment Manager and Terraform to ensure consistency and reliability. Continuous Integration and Delivery: Skilled in setting up CI/CD pipelines using Cloud Build and Jenkins on GCP for automated testing, building, and deployment of applications. Monitoring and Alerting: Capable of implementing monitoring and alerting systems using Stackdriver Monitoring and Stackdriver Logging to identify and resolve issues promptly. Security and Compliance: Knowledgeable in implementing security controls and compliance standards using GCP Identity and Access Management (IAM) and Security Command Center. Cost Optimization: Experienced in optimizing costs on GCP using tools like Cost Explorer and Budgets, as well as utilizing features like sustained use discounts and preemptible VMs to minimize expenses. *****************

I deliver efficient and secure cloud hosting infrastructure. I'm good with linux servers and devops automation. Come in for a chat, let's discuss how I can use my skills to solve your problems. My Core Competencies: 🌟 Automation & CI/CD • Architecting robust end-to-end CI/CD pipelines in Github Actions with complete release management. • Docker containerization for reliable application deployments • Infrastructure as code with Terraform. • Advanced BASH shell scripting skills • Ansible for repeatable and seamless server configuration. 🌟 Cloud & Infrastructure: • Architecting and optimizing server environments on AWS, DigitalOcean, Hetzner, Hostinger, and more. • Deploying and managing key AWS services (EC2, RDS, ECS, S3, VPC, IAM, Elastic Beanstalk, Lightsail). • Web server management (Nginx, Apache HTTP Server, Caddy, Squid, HAproxy) including load balancing and proxy configs. • Executing complex DNS and site migrations (including Vercel to self-hosted). 🌟 Security, Performance & Optimization: • Deep performance tuning for stacks running PHP, MySQL, PostgreSQL, Nginx, Docker and more. • Setting up advanced monitoring and alerting with Prometheus and Grafana. • Implementing 24/7 uptime monitoring with Uptime Robot and Uptime Kuma. • Configuring Web Application Firewalls (ModSecurity, Cloudflare) to block OWASP Top Ten Threats and DDoS attacks. • Implementing server security best practices to resolve all vulnerabilities. • Deploying antivirus and malware scanners to find and remove infections. 🌟 Database and Caching Solutions: • Managing MySQL, PostgreSQL and MongoDB databases. • High-performance caching (Redis, Memcached) and message brokers (RabbitMQ). 🌟 Additional Specialized Services: • Administering cPanel & WHM, Plesk, CloudPanel, RunCloud, and other web panels. • Managing DNS across all major providers (AWS Route53, Cloudflare, Godaddy). • Deploying and configuring CMS (WordPress, Moodle, WooCommerce, etc.) and Java applications ( Apache Tomcat). • Automating SSL/TLS implementation for HTTPS. • Setting up and managing mail servers and Google Workspaces. Come say hi and let’s discuss how I can give you a 5-Star (🌟🌟🌟🌟🌟) experience today.

I build and run Production Infrastructure on AWS, GCP, Azure and on-prem. Most of my work the last few years has been Kubernetes (EKS, GKE, AKS, and bare metal RKE2 with Rancher) and getting that infrastructure through compliance audits: HIPAA, SOC 2, PCI DSS, NIST 800-53. 10+ years in DevOps. Top Rated Plus, 100% Job Success. 𝙎𝙤𝙢𝙚 𝙧𝙚𝙘𝙚𝙣𝙩 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙩𝙤 𝙜𝙞𝙫𝙚 𝙮𝙤𝙪 𝙖𝙣 𝙞𝙙𝙚𝙖 𝙤𝙛 𝙬𝙝𝙖𝙩 𝙄 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙙𝙤: Built an on-prem RKE2 cluster from scratch for a company preparing for SOC 2 and HIPAA. Rancher for management, Cilium with WireGuard for encrypted pod traffic, GPU nodes for their ML workloads, Longhorn for storage, Velero for backups, ArgoCD for deployments. Also enforced SSO through Entra ID on every cluster and SSH access point because their auditors required it. Took a healthcare data platform through HIPAA hardening on AWS. ECS Fargate, Aurora PostgreSQL, private subnets, TLS everywhere, proper secrets handling. Phase one was making it work, phase two was making it pass an audit. Different skill sets, I do both. Modernized AWS infrastructure for a holding group running four brands. Moved everything to ECS Fargate and Aurora Multi-AZ, set up blue-green deployments, CloudFront in front. Midway through we found a security breach in their GitHub org and I handled the full remediation across every repo. Fixed a production Aurora MySQL performance problem that had their app timing out during peak hours. Root cause was tmp table spill to disk. Tuned it, added a reader, no downtime. I also do a lot of unglamorous work that keeps things running: CI/CD pipelines (GitHub Actions, GitLab CI, ArgoCD), Terraform for everything, monitoring with Prometheus and Grafana, cost cleanup, VPN and networking issues, database migrations. Industries I know well: Healthcare (HIPAA is second nature at this point), Fintech and Payments (PCI DSS), and B2B SaaS. 𝙒𝙝𝙖𝙩 𝙮𝙤𝙪 𝙜𝙚𝙩 𝙬𝙤𝙧𝙠𝙞𝙣𝙜 𝙬𝙞𝙩𝙝 𝙢𝙚: Infrastructure that is written down in code, documented, and reproducible. I answer messages fast and I will tell you upfront if something is a bad idea or if I am not the right person for it. Send me your project details and current setup. I will give you an honest read on scope and effort before you spend anything.

I am a 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 with deep expertise in Kubernetes, Infrastructure as Code, CI/CD automation, and Python scripting. Over the past 5+ years, I’ve built, automated, and optimized scalable cloud environments across AWS, Azure, and hybrid infrastructures. I help teams deploy faster, cut costs, and achieve enterprise-grade reliability by leveraging cloud-native tools and automation. From designing Kubernetes clusters to implementing Terraform/Terragrunt workflows, my goal is to create infrastructure that is secure, resilient, and easy to maintain. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Kubernetes (EKS/AKS), Helm, Docker, Terraform, Terragrunt, GitHub Actions, Azure DevOps Pipelines, Ansible, AWS CodePipeline, GitLab CI/CD 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: IAM, RBAC, SSO, Aqua Security, Cloudflare, Prometheus, Grafana, CloudWatch, DataDog, Disaster Recovery Planning 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 & 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Python (automation, integration, clean scripting), Bash 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, RDS, S3, Lambda, IAM, CloudFormation), Azure (Azure DevOps, ADF, Monitor, Defender), Google Cloud (Compute, IAM, BigQuery) 𝐀𝐠𝐢𝐥𝐞 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Git, GitHub, Jira, Trello, Scrum, Agile, Continuous Delivery practices What You Can Expect When Working With Me: ✔ High Availability: 99.9% uptime through fault-tolerant, containerized cloud infrastructure ✔ Optimized Costs: 30-40% savings via smart scaling & automated provisioning ✔ Reliable Deployments: CI/CD pipelines that are fast, automated, and rollback-ready ✔ Future-Proof Infrastructure: Infrastructure-as-Code foundations built with Terraform & Kubernetes ✔ Secure Cloud Environments: Compliance-focused access control, monitoring, and backup policies Let’s Collaborate: If you’re looking for a partner who can translate business goals into cloud-native, automated solutions, I’d be glad to help. I prioritize clear communication, rapid response, and results you can measure. Let’s connect and transform your infrastructure into a scalable, secure, and cost-efficient engine for growth.

AI/ML engineer who builds and scales production-grade systems — from LLM applications and ML pipelines to data platforms, cloud infrastructure, and APIs. I specialize in taking AI systems from prototype → production, with a strong focus on reliability, scalability, and cost efficiency. Currently an AWS DevOps Consultant working with Fortune 500 companies to modernize infrastructure, build data pipelines, and operationalize AI at scale. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 - End-to-End MLOps Platform for Fraud Detection — built automated training, validation, and deployment pipelines using Kubernetes + Terraform, integrating data ingestion, feature processing, and model monitoring. - Fraud Detection ML Model — developed and deployed a machine learning model for anomaly detection using structured transaction data, including feature engineering, data preprocessing, model evaluation, and real-time inference via APIs. - Data Pipeline & Processing Systems — designed scalable pipelines (batch + near real-time) for analytics and ML, with integrated reporting and data visualization for stakeholders. - LLM + RAG Applications — built retrieval-augmented generation systems using embeddings and vector search over internal datasets, enabling intelligent document querying and knowledge automation. - LLM-Powered Engineering Workflows — implemented AI-assisted development pipelines using OpenAI APIs for code generation, testing, and rapid prototyping. - Large-Scale Kubernetes (EKS) Migration — migrated 150+ applications to EKS, reducing cloud costs by 65% while improving system performance and resilience. - Cloud-Native AI Infrastructure — built scalable microservices and ML-serving systems with Docker, Kubernetes, and API-based model inference. 𝐖𝐇𝐘 𝐌𝐄 I bring a combination of AI/ML, data engineering, and DevOps expertise — which means I can own the full lifecycle: data → model → deployment → scaling → visualization. With an MBA in Data Science and consulting experience at AWS, I focus on building systems that deliver real business value — not just technically correct solutions. 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 - AI / ML: Python, R, scikit-learn, TensorFlow, PyTorch — feature engineering, model evaluation, ML pipelines - LLM / GenAI: LLM fine-tuning, prompt engineering, RAG (retrieval-augmented generation), multi-agent systems, LangChain, Hugging Face - Data Engineering: ETL/ELT pipelines, Pandas, Apache Spark, Airflow, Kafka, AWS Glue, Lambda - Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI - MLOps: Kubernetes, Kubeflow, MLflow, Docker, KServe, DVC, W&B, Seldon - Backend & APIs: FastAPI, REST APIs, Node.js, microservices, distributed systems - Cloud & DevOps: AWS (EKS, S3, IAM, VPC, Lambda, SageMaker), GCP, Azure, Terraform, Helm, Jenkins, ArgoCD, GitOps, Grafana, Prometheus - Data Storage: PostgreSQL, MongoDB, S3, Redis, FAISS, Pinecone 𝐃𝐎𝐌𝐀𝐈𝐍 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐓𝐈𝐄𝐒 MLOps & ML systems • LLM & RAG applications • Data pipelines & ML workflows • Data visualization & dashboards • Kubernetes & cloud-native systems • AWS architecture • CI/CD & automation • Cost optimization If you need someone who can build the full stack of AI — from data pipelines to production ML systems — I can help.

I am a senior DevOps Engineer with over 11 years of experience. I am passionate about cloud computing, cutting-edge technologies, and crafting efficient solutions. I have configured complex infrastructures from scratch and completed multitude of cloud migrations. Core Qualifications: - 11+ years of experience - 36+ completed projects - Clouds: Amazon Web Services (AWS), Azure, GCP, DigitalOcean - Containers: Kubernetes, CoreOS, Docker - CI/CD: Jenkins, VSTS, GIthub Actions - Networking: Routing, switching, virtual networking - Hypervisors: VMware, Hyper-V - Automation: Ansible, AWS CloudFormation, Terraform - Databases: Mysql (Galera), PostgreSQL - Logging: Fluentd, Logstash, Elasticsearch, Kibana - Monitoring: Zabbix, Grafana, Prometheus - VPN: OpenVPN, IPsec. - Web: LAMP, Nginx