🔸I'm a seasoned DevOps Engineer with over 4 years of experience and a knack for orchestrating tech landscapes. 🔸I firmly believe that DevOps is an art that goes beyond just mastering the best tools in the field – it's about strategic thinking, problem-solving, and continuous improvement that go hand-in-hand with them. 🔸With my extensive expertise in a wide range of technologies, including Linux, bash scripting, Docker, Swarm, Kubernetes, Nomad, OpenShift, GCP, AWS, DigitalOcean, Azure, Hetzner, and OpenStack, I bring a diverse skill set to the table. Moreover, I excel in implementing CI/CD and GitOps practices, streamlining software delivery processes and fostering a culture of automation and collaboration. 🔸I am well-versed in infrastructure-as-code tools like Terraform, Ansible, and Packer, providing organizations with efficient and scalable infrastructures. My proficiency in Python and Lua programming languages enables me to create innovative solutions, automate complex tasks and implement effective API integrations. 🔸I am a natural problem solver, always seeking innovative ways to optimize processes and enhance productivity. I believe in effective communication and collaboration, which makes me a valuable addition to any project. 🔸If you are looking for a productive DevOps Engineer with a business-driven approach, I am here to make a difference. Let's connect and discuss how to turn your vision into reality.

DevOps Engineer | Cloud & CI/CD Expert (AWS | Azure) | Full Stack Developer I help businesses build, deploy, and scale applications reliably using modern DevOps practices and cloud infrastructure. From setting up robust CI/CD pipelines to managing scalable cloud environments, I ensure your product is production-ready, secure, and high-performing. With hands-on experience across AWS, Azure, Docker, Kubernetes, and microservices architecture, I specialize in automating workflows, reducing deployment time, and improving system stability. What I can help you with: -CI/CD pipeline setup (GitHub Actions, GitLab, Jenkins, Azure DevOps) -Cloud infrastructure design & optimization (AWS / Azure) -Docker & Kubernetes deployment and orchestration -Infrastructure as Code (Terraform, Ansible) -Monitoring & logging (Prometheus, Grafana, ELK) -Backend & Full Stack development (Node.js, Python, React) I don’t just deliver code — I focus on scalable architecture, cost optimization, and long-term maintainability. If you're looking for someone who can own the deployment pipeline, streamline your infrastructure, and support end-to-end development, let’s connect and discuss your project.

I’m a Chief Technology Officer & Chief Information Security Officer with 15+ years of experience in technology leadership, cybersecurity, and scalable architecture design. I lead AS13 Upwork Agency a global tech & security agency delivering enterprise-grade solutions for startups, SMBs, and large enterprises. My expertise blends software engineering with cutting-edge security practices from building secure multi-tenant SaaS platforms to passing complex compliance audits like SOC 2, ISO/IEC 27001, and PCI DSS. I hold a CISSP certification and have led 70+ technical professionals across development, cloud, infrastructure, and compliance. Key Specialties: • Cloud & Infrastructure Security: AWS, Azure, GCP, Terraform automation • Cloudflare Expert: WAF, DDoS mitigation, Zero Trust architecture, performance tuning • Microsoft 365 & Intune Expert: Enterprise rollout, security hardening, penetration testing • Web Security Audits: WordPress & Shopify hardening, malware cleanup, continuous monitoring • DevSecOps & CI/CD: Secure pipelines, Kubernetes/Docker orchestration, secrets management • Blockchain Security: Smart contract audits, MPC key management, DeFi & NFT platforms • AI Solutions: Azure AI Vision, Language, Document Intelligence for automation & big data insights Recent Achievement: Completed the Microsoft AI Odyssey Challenge (top 100,000 in India), gaining deep hands-on experience in Azure AI solutions. If you need a CTO or CISO level partner to secure, scale, and optimize your technology, I deliver results that last.

👋 I’m a Solution Architect and Cloud Engineer with 20+ years of hands-on experience building, fixing, and scaling production systems on AWS, Kubernetes, and Terraform. I help companies solve the most common infrastructure headaches: lowering runaway AWS costs, fixing unstable deployments, and cleaning up manual "click-ops" messes. As a Solution Architect, I transform fragile setups into resilient, automated environments. Whether you need to optimize a slow Kubernetes cluster, refactor unmaintainable Terraform code, or secure a leaking AWS environment, I provide the architectural oversight and hands-on execution to ensure your systems are production-ready and cost-effective for the long haul. I help teams turn messy infrastructure into clear, automated DevOps environments using AWS, Kubernetes, and Terraform as the core stack. Most projects involve fixing unstable AWS setups, rebuilding pipelines with Terraform, and moving workloads into production-ready Kubernetes clusters. I also work with GCP and Azure when projects require multi-cloud or provider-specific services. 🚀 Core DevOps Stack DevOps with AWS, Kubernetes, and Terraform is the foundation of my work. As a Cloud Engineer, I design full DevOps systems where AWS infrastructure is managed by Terraform and applications run on Kubernetes with automated pipelines. My daily work includes: - Solution Architect oversight for AWS/Kubernetes migrations - Cloud Engineer automation on AWS using Terraform - Kubernetes cluster design and operations - Terraform modules for repeatable AWS environments - Production DevOps pipelines for Kubernetes workloads - Multi-cloud setups across AWS, GCP, and Azure ⚙️ What I Deliver ☁️ DevOps & Cloud Infrastructure - Full DevOps setups on AWS using Terraform - High-availability AWS environments managed through Terraform - Cost-optimized AWS architectures built with Solution Architect best practices - Secure AWS networking and access policies via Terraform - Production setups on GCP and Azure when required ☸️ Kubernetes Platforms - Production Kubernetes clusters on AWS - Scalable Kubernetes environments managed by Terraform - DevOps pipelines for Kubernetes deployments - Monitoring and autoscaling for Kubernetes workloads - Kubernetes clusters on GCP (GKE) and Azure (AKS) 🔧 Terraform Automation - End-to-end Terraform infrastructure on AWS - Modular Terraform code for repeatable DevOps setups - Terraform pipelines for Kubernetes clusters - Automated AWS provisioning with Terraform - Multi-cloud Terraform environments across AWS, GCP, and Azure 🔄 DevOps CI/CD - DevOps pipelines deploying to AWS and Kubernetes - Container builds and rollouts into Kubernetes - Terraform driven release environments on AWS - Zero-downtime DevOps deployments - CI/CD for systems running on GCP and Azure 📊 Monitoring, Security, and Databases - DevOps monitoring for AWS and Kubernetes - Metrics and alerts for Kubernetes clusters - Log aggregation for AWS and Kubernetes - Secure Terraform secrets and access management - Database tuning in AWS, GCP, and Azure environments 💡 Why Clients Choose My DevOps Work - Long-term infrastructure support and maintenance (SLA-focused) - Real production experience as a Cloud Engineer on AWS, GCP, and Azure - Stable Kubernetes clusters designed by a professional Solution Architect - Clear Terraform code your team can maintain - Predictable AWS infrastructure costs Most of my projects involve: - Fixing broken DevOps pipelines - Rebuilding AWS environments with Terraform - Moving apps into stable Kubernetes clusters - Improving DevOps reliability and monitoring - Supporting multi-cloud setups on AWS, GCP, and Azure 🛠️ Typical DevOps Projects - Migrate legacy servers into AWS with Terraform - Build new Kubernetes clusters for SaaS platforms - Set up full DevOps pipelines on AWS - Refactor manual infrastructure into Terraform - Stabilize production Kubernetes environments - Deploy or migrate workloads to GCP or Azure If you need a Cloud Engineer and Solution Architect who works daily with AWS, Kubernetes, and Terraform, and can provide long-term infrastructure support, I can help you build an automated, stable, and scalable system. Let’s discuss your setup and improve your infrastructure.

Expert-Vetted | AWS/GCP/Azure DevOps | AIOps | Kubernetes | Terraform Himanshu Vaish Top 1% Upwork EXPERT-VETTED | Cloud & DevOps Architect | AWS | Azure | GCP | Kubernetes | Terraform With over 13 years of IT experience and multi-cloud certifications across AWS, Azure, and GCP, I help organizations design, secure, and automate their cloud infrastructure. As an Upwork Expert-Vetted Professional with a 100% Job Success Score and Top Rated Plus status, I rank among the Top 1% of freelancers on the platform. I specialize in cloud-native architecture, enterprise DevOps, and Kubernetes automation—enabling businesses to reduce operational overhead by up to 40%, improve scalability, and meet stringent security and compliance standards in regulated environments like fintech, healthcare, and SaaS. Recent Client Impact: Migrated 50+ enterprise applications to multi-cloud environments with zero downtime Reduced infrastructure costs by 35-45% through FinOps optimization and rightsizing Automated CI/CD pipelines for development teams of 100+ engineers Achieved PCI-DSS and FedRAMP compliance for Fortune 500 clients Core Offerings Cloud Architecture & Migration (AWS, Azure, GCP) – Multi-cloud strategy, landing zones, and lift-and-shift modernization Cloud Security & Compliance (CSPM, PCI-DSS, FedRAMP, HIPAA, CIS Benchmarks, Zero Trust) Infrastructure as Code (Terraform, CloudFormation, Azure ARM/Bicep, AWS CDK, Pulumi) Kubernetes & GitOps (EKS, AKS, GKE, Argo CD, Flux, Helm, Service Mesh) Platform Engineering – Internal developer platforms, self-service infrastructure, golden paths AI/ML Infrastructure (SageMaker, Azure ML, Vertex AI, MLOps pipelines) Serverless & Event-Driven Architecture (AWS Lambda, Azure Functions, GCP Cloud Functions, EventBridge) CI/CD Pipeline Engineering (GitHub Actions, Jenkins, GitLab CI, CodePipeline, CircleCI) FinOps & Cost Optimization – Cloud financial management, tagging strategies, reserved instances, savings plans Contact Center Solutions (Amazon Connect, Lex, Real-time Analytics, Omnichannel routing) Hybrid Cloud & Network Design – VPN, Direct Connect, ExpressRoute, Cloud Interconnect Application Modernization – Containerization, microservices refactoring, legacy system migration Observability & SRE – Full-stack monitoring, incident response, chaos engineering Technical Proficiencies Cloud & Infrastructure: AWS (Control Tower, Organizations, IAM Identity Center, GuardDuty), Azure (Landing Zones, Entra ID, Defender), GCP (Organization Policy, Cloud Identity), VPC, Transit Gateway, PrivateLink Infrastructure Automation: Terraform (modular, reusable architecture), AWS CloudFormation, Azure Bicep, AWS CDK, Pulumi, Ansible, Git, AWS Systems Manager, Azure Automation DevOps & CI/CD: GitHub Actions, Jenkins, GitLab CI, AWS CodePipeline, Argo CD, Flux, Helm, Docker, Podman, Kubernetes (EKS, AKS, GKE), Istio, Kustomize Monitoring & Observability: CloudWatch, Azure Monitor, Datadog, New Relic, Prometheus, Grafana, ELK/EFK Stack, AWS Security Hub, Splunk, OpenTelemetry Serverless & APIs: AWS Lambda, Azure Functions, GCP Cloud Functions, API Gateway, Step Functions, EventBridge, Azure Logic Apps, Cloud Run Security & Compliance: AWS Config, Azure Policy, GCP Security Command Center, Wiz, Prisma Cloud, Snyk, HashiCorp Vault, Secrets Manager, KMS Databases & Storage: RDS, Aurora, DynamoDB, CosmosDB, Cloud SQL, S3, Azure Blob, GCS, Redis, ElastiCache Certifications ✓ AWS Certified Solutions Architect – Professional & Associate ✓ AWS Certified Machine Learning – Specialty ✓ Microsoft Certified: Azure Solutions Architect Expert ✓ Google Professional Cloud Architect ✓ ITIL v3 Certified ✓ Certified Kubernetes Administrator (CKA) (Optional - add if applicable) Industries Served FinTech & Banking – PCI-DSS compliance, real-time transaction processing, fraud detection infrastructure Healthcare & Life Sciences – HIPAA-compliant architectures, PHI data security, telemedicine platforms SaaS & Technology – Multi-tenant platforms, API-first design, rapid scaling for product launches E-commerce & Retail – High-availability systems, payment processing, inventory management automation Value to Clients ✓ Automation-First Approach – Infrastructure as code, GitOps workflows, self-healing systems ✓ Enterprise-Grade Documentation – Architecture diagrams, runbooks, disaster recovery plans ✓ Post-Deployment Support – 30-day knowledge transfer, on-call support options available ✓ Security & Compliance First – NDA-compliant, SOC 2 experience, security best practices ✓ Cost-Effective Solutions – Right-sized infrastructure, reserved capacity planning, waste elimination ✓ Agile & Transparent Delivery – Sprint-based milestones, daily updates, Slack/Teams integration Why Work With Me? I don't just deploy infrastructure—I architect scalable, secure, and cost-optimized solutions that align with your business goals. Whether you're a startup building your first cloud environment or an enterprise modernizing lega

- I love designing, building and managing infrastructure for production workloads, from startups to enterprises, across all major clouds and on premises - Expert n8n, ERPNext setup and configuration for production workloads. - If you need data privacy - here is a list of self hosted solutions I can set up for you - checkout on github this repo awesome-selfhosted.

If your deployments feel slow, your uptime keeps slipping, or your cloud bill won't stop growing, that's usually an infrastructure problem, not a people problem. I fix the infrastructure. I am a certified DevOps engineer and have 8 years of experience helping teams automate their infrastructure and ship with confidence. My focus is AWS-based cloud architecture and CI/CD automation, with hands-on experience across GCP and Azure when a client's stack calls for it. 𝐑𝐞𝐚𝐥 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐈'𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝: 🔹 Deployment time cut from 2 hours → 8 minutes 🔹 Uptime improved from 97% → 99.9% 🔹 Cloud costs reduced by ~25% 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐲𝐨𝐮: ☁️ 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 AWS, GCP, Azure (EC2, ECS, EKS, Lambda, serverless, microservices) ⚙️ 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 GitHub Actions, GitLab CI, Jenkins, ArgoCD, zero-downtime, and fully automated. 🐳 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 & 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 EKS, GKE, AKS, Helm, autoscaling, blue/green, and canary deployments. 🏗️ 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 Terraform, CloudFormation, Ansible, modular, GitOps-ready, and production-grade. 🔒 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 Prometheus, Grafana, Datadog, ELK, IAM hardening, Snyk scanning, and on-call alerting. 🤖 𝐀𝐈𝐎𝐩𝐬 / 𝐌𝐋𝐎𝐩𝐬 Kubeflow, MLflow, Vertex AI, GPU provisioning, LLM pipelines, model monitoring 𝐈𝐟 𝐲𝐨𝐮'𝐫𝐞 𝐭𝐢𝐫𝐞𝐝 𝐨𝐟 𝐬𝐥𝐨𝐰 𝐝𝐞𝐩𝐥𝐨𝐲𝐬, 𝐬𝐮𝐫𝐩𝐫𝐢𝐬𝐞 𝐨𝐮𝐭𝐚𝐠𝐞𝐬, 𝐨𝐫 𝐜𝐥𝐨𝐮𝐝 𝐛𝐢𝐥𝐥𝐬 𝐭𝐡𝐚𝐭 𝐤𝐞𝐞𝐩 𝐜𝐥𝐢𝐦𝐛𝐢𝐧𝐠, 𝐥𝐞𝐭'𝐬 𝐟𝐢𝐱 𝐭𝐡𝐚𝐭. 𝐃𝐫𝐨𝐩 𝐦𝐞 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐬𝐭𝐚𝐜𝐤 𝐚𝐧𝐝 𝐰𝐡𝐚𝐭'𝐬 𝐬𝐥𝐨𝐰𝐢𝐧𝐠 𝐲𝐨𝐮 𝐝𝐨𝐰𝐧.

I’m a seasoned DevOps Engineer and Cloud Engineer with over 4 years expertise in designing, automating, and optimizing modern cloud infrastructures. My skills span across AWS, Kubernetes, and CI/CD pipelines, helping businesses scale reliably and Securely. Whether you need Infrastructure as Code solutions or robust cloud deployments, I’m here to help. I work daily with tools like Terraform, Azure DevOps, Docker, Jenkins, and GitLab CI/CD to streamline development workflows. My experience includes building secure environments using AWS CloudFormation, developing scalable microservices with Kubernetes Helm Charts, and managing complex cloud migrations. I specialize in Ansible Automation and enjoy solving complex problems through scripting and smart automation. My background in GitOps with ArgoCD, AWS EKS Optimization, and Azure Bicep Templates ensures efficient and secure infrastructure deployments. I’m passionate about modern solutions like Kubernetes Cost Monitoring, implementing Cloud Cost Optimization Strategies, and architecting Serverless EventBridge Workflows for seamless event-driven systems. Beyond deployments, I focus on critical tasks like multi-cloud disaster recovery, implementing OPA Policy-as-Code, and Kubernetes security hardening to maintain compliance and protect applications. My work with tools like HashiCorp Vault Integration and deep understanding of cloud security make me an asset to any team. As a dedicated DevOps Engineer and Cloud Engineer, I aim to deliver high-quality results, ensuring your systems remain resilient, scalable, and cost-effective. Let’s connect and transform your cloud journey with reliable, modern solutions! Services I Offer 🔹 DevOps & CI/CD Pipelines ● Build and maintain CI/CD processes with Jenkins, GitLab CI/CD, and Azure DevOps ● Automate deployments using Infrastructure as Code tools like Terraform and Ansible ● Implement blue/green, canary, or rolling deployment strategies 🔹 Cloud Engineering & Architecture ● Design scalable solutions on AWS and Azure ● Handle cloud migrations and hybrid architectures ● Optimize AWS EKS performance and Azure resources 🔹 Containerization & Orchestration ● Develop and deploy Dockerized applications ● Manage Kubernetes clusters and Helm charts ● Implement GitOps workflows using ArgoCD 🔹 Security & Compliance ● Harden Kubernetes security and enforce policies with OPA Policy-as-Code ● Integrate HashiCorp Vault for secrets management ● Ensure compliance and implement disaster recovery strategies 🔹 Cost Optimization & Monitoring ● Analyze cloud costs and implement savings strategies ● Set up Kubernetes cost monitoring ● Architect serverless solutions with EventBridge for efficient workflows

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

Profile: ---------- I build AI systems that work in production — not just prototypes. My focus is on Generative AI, agentic AI workflows, and the cloud infrastructure to run them reliably at scale. Over 20+ years I've designed and shipped enterprise platforms spanning AI orchestration, API integrations, microservices, and end-to-end DevOps pipelines. I work primarily in Python, Java, Node.js, deploying on AWS, GCP, and Azure using Kubernetes, Docker, and Infrastructure-as-Code What I build: ---------------- AI agents and orchestration platforms with intelligent routing, guardrails, and audit trails. RAG pipelines with structured outputs and validation layers for production accuracy. API-first microservices and real-time data pipelines (Kafka, Redis, WebSockets). Cloud-native infrastructure with CI/CD, monitoring, and cost optimization baked in. Recent projects: -------------------- AI2ME — Enterprise AI orchestration middleware connecting multiple LLM providers with compliance guardrails (HIPAA, GDPR, SOC2), intelligent routing, and cost optimization across regulated industries. AI-Powered EdTech Suite — Built AI-driven assessment generation, avatar creation, and automated evaluation platforms with custom model training and structured output pipelines. Kubernetes File Processing Platform (Glasswall) — Designed multi-service K8s cluster with Python and Golang microservices, deployed via Helm charts across standalone and cloud-managed clusters. IoT Certificate Provisioning (Qualcomm) — Architected microservices-based platform for SSL certificate provisioning across IoT devices, deployed on AWS with Docker containers. Core stack: -------------- AI/LLMs: OpenAI, Claude, MCP, RAG, vector databases (Pinecone, Chroma), prompt engineering, structured outputs Backend: Python (FastAPI, Flask), Node.js (Express), Java-Springboot, Golang, REST/GraphQL APIs Cloud: AWS, GCP, Azure (Almost all services) DevOps: Kubernetes, Docker, Terraform, GitHub Actions, Jenkins, CI/CD pipelines Data: PostgreSQL, MongoDB, DynamoDB, Kafka, Redis, Elasticsearch