- 7+ years of DevOps/Cloud experience - 50+ satisfied clients with a 100% job success rate and Top Rated Plus in Upwork - Certified Kubernetes Application Developer and AWS Certified Developer - Certified Google Cloud Architect - Lead DevOps/Cloud Engineer - 9+ years of experience in IT - Conduct public webinars and workshops An enthusiastic DevOps and Cloud Engineer having extensive experience in Containerization, Continuous Integration, Continuous Deployment, Infrastructure As Code, and Monitoring Solutions. I am a Certified Kubernetes Application Developer and a Certified AWS Developer Associate with experience in implementing automation in different phases of the Software Development Life Cycle. I also possess experience in infrastructure in the cloud and deployment of applications in on-premise and cloud servers. I have also been conducting public webinars and workshops I work on the following technologies : Clouds ===== AWS, GCP, AZURE, and Digitial Ocean Containerization ============ Docker,Kubernetes, docker-compose, docker swarm, GKE, AKS,EKS, Helm,Openshift CI/CD ===== Github Actions,Gitlab CI, Bitbucket pipelines, Tekton, ArgoCD, Github Actions ,Circle CI,Jenkins Infrastructure As Code ================= Terraform, Cloudformation Programming/Scripting Language ================== Golang, python, bash , nodeJS Monitoring & Logging =============== Prometheus, Grafana, ELK stack, cloud logging, cloud watch logging, Kibana I also possess key soft skills such as communication, self-learning, self-management, and leadership which are crucial for any role. I am also fluent in English and easy to go by. For more details, you are always welcome to contact me.

Hi, I'm Waqas – a results-driven DevOps and cloud professional with 5+ years of experience architecting, automating, and scaling infrastructures. I'm an AWS Certified Solutions Architect Associate specializing in multi-cloud deployments, microservices, and secure CI/CD pipelines. Whether you're looking to streamline your infrastructure, secure your applications, or optimize cloud costs, I can deliver tailored, effective solutions. My Expertise Includes: ✅ Cloud & Infrastructure: AWS: EC2, ECS, S3, CloudFront, IAM, Lambda, RDS, and more Microsoft Azure: Virtual Machines, App Services, Azure Functions, and Resource Management Google Cloud Platform: Cloud Run, Cloud Functions, and Storage DigitalOcean: Droplets, Kubernetes, and Spaces Blockchain Deployment: Ethereum-based RPC nodes and custom Geth builds ✅ CI/CD & Automation: Skilled in GitHub Actions, Jenkins, CodePipeline, and Cloud Build Experienced in SAST & DAST integrations for secure code pipelines Custom automation scripts using Bash for Linux environments ✅ Infrastructure as Code: Proficient with Terraform for scalable infrastructure deployments Expertise in managing resources with custom IAM roles and security best practices ✅ Application & Network Management: Strong experience with Spring Boot microservices architecture Hands-on with Cloudflare WAF, rate-limiting, and custom rules implementation Why Work With Me? 💡 I bridge the gap between development and operations to help businesses deploy faster and more securely. 💡 I bring a proven track record of optimizing cloud costs while maintaining high performance and availability. 💡 I communicate effectively and prioritize delivering on time, every time. If you're looking for a skilled professional to elevate your project across AWS, Azure, GCP, or DigitalOcean, let’s connect! I'm confident I can bring value to your team or business.

I am a Cloud Security Architect with more than 12 years of experience in Cloud Security, multi-cloud (AWS, Azure, GCP) Architecture, Exchange, and M365. Expert-level knowledge of CSPM, Vulnerability Assessment, Information Security, Email Security, and Server Administration task which includes Active Directory, DNS, VPN, DHCP, Migrations, PowerShell, and VMware Virtualization. Certification’s: - • Microsoft 365 Certified: Managing Office 365 Identities and Requirements • Microsoft 365 Certified: Enterprise Administrator Expert • Microsoft Certified: Azure Administrator Associate certified • Microsoft Certified: Azure Solutions Architect Expert certified • Microsoft Certified: Azure Security Engineer Associate certified Experience : • Design and architect the Security solutions as per the Benchmarks. (NIST CSF/CIS/CSA) • Architected the Vulnerability Management System for client using cloud native, and Qualys. Architected and remediated more than 100 thousand vulnerabilities including infrastructure, and application based. • Design and Architect Solutions, SOPs, conducted POCs. • Design, implement and maintain Azure Security, AWS Security. MDFC, Policy and Compliance, Governance, Identity and Access Management. • Design, implement and maintain Prisma for Security Policies, Integration with Azure and AWS • Intune and Endpoint Management, deployed update policies, applications. On-Premise Platform Migration: Migrate platforms to the latest Microsoft operating systems • Cloud Based Migrations: Migrate Exchange to Office Online (O365), Active Directory to Azure Active Directory, workloads and applications to Microsoft Azure. • Setting up DNS records like SPF, DMarc, DKIM for security protocols, Implementing rules and retrieving deleted Mailboxes, threat Management & compliance Management. • Server Configuration and Administration (2008, 2012, 2016) • Data Center Operations: Evaluate processes and infrastructure design to more efficiently manage operations and reduce costs while increasing predictability • Enterprise Directories: Deploy enterprise-wide business directories to lower administrative costs, coordinate end-user accounts, and reduce development costs • Detailed understanding of Azure database offerings [ Relational, NoSQL ] • Deep familiarity with Azure Security Services [ Azure Active Directory, RBAC, KeyVault, ADFS] • Architecture and Implementation experience with medium to complex on-prem to Azure migrations • Deep understanding of Intune/Endpoint Management and deployment of Policies, Apps through Intune. Management of Azure AD registered/joined devices through Intune.

AI & Backend Engineer | Tech Lead & Engineering Manager (100% Job Success, Top Rated Plus, Expert Vetted, 4,200+ Upwork hours). I design and deliver RAG pipelines, multi-agent LLM apps, FastAPI microservices, and MLOps systems on AWS/GCP/Azure—enterprise-ready, scalable, and secure. What I Build RAG & LLM Applications — OpenAI, Azure OpenAI, AWS Bedrock, Anthropic; LangChain/LlamaIndex; vector search and vector databases (Pinecone, Weaviate, FAISS); prompt engineering, guardrails, and evaluation harnesses for quality, latency, and cost. Multi-Agent Workflows — tool design, orchestrators, short/long-term memory, function calling, and policy controls for support, operations, and research automation. Backend Microservices & APIs — Python, FastAPI, REST/GraphQL, event-driven patterns with Kafka/SQS, API Gateway, auth, rate-limiting, and observability. MLOps — CI/CD for ML, MLflow & model registries, feature storage, batch/real-time inference, A/B and shadow deployments, monitoring & alerting. Cloud Architecture (AWS/GCP/Azure) — Docker, Terraform/IaC, AWS Lambda/ECS/S3/IAM/CloudWatch, cost controls, security baselines, secrets management. Leadership & Delivery Operate as IC, Tech Lead, or Engineering Manager. I handle system architecture, technical roadmaps, sprint planning, backlog/prioritization, stakeholder comms, code reviews & mentoring, estimation, and KPI-driven delivery (accuracy, latency, cost, reliability). Clear documentation (design docs, ADRs, runbooks) is included. Recent Wins (representative) Policy-safe multi-agent workflow for research/drafting → 100+ hours saved per month; measurable quality gates and auditability. Streaming pipeline modernization (event-driven) → data freshness improved from daily batches to near real-time; reduced ops toil. RAG knowledge system + eval harness → higher factual accuracy, lower support handle time; dashboards for latency and cost. Typical Engagements Production RAG MVP (OpenAI/Azure/Bedrock) — ingestion/chunking, retrieval, prompt strategy, evals, vector DB, metrics, and handoff. Multi-Agent Automation for Support/Ops — tool stack, orchestrator, safety/policy rules, runbooks, latency/cost dashboards. FastAPI Microservice + CI/CD — service template, tests, auth, Docker, GitHub Actions, deploy to AWS, logging/metrics. MLOps Starter (Databricks/MLflow) — experiment tracking, model registry, deployment patterns, sample pipeline. RAG/LLM Stack Audit — architecture review, eval gaps, reliability/cost plan, prioritized recommendations. Industries & Data SaaS, data platforms, operations/support tooling, analytics, internal knowledge bases, ETL/ELT modernization, research automation. Comfortable with PII handling patterns and least-privilege designs. Tooling & Stack Python, FastAPI, Docker, Terraform, AWS (Lambda/ECS/S3/IAM/CloudWatch), GCP, Azure, Kafka, Postgres, Redis, Databricks/MLflow, Pinecone, Weaviate, FAISS, LangChain, LlamaIndex, OpenAI, Anthropic, AWS Bedrock. Quality, Security & Ops Tested deliverables (unit/integration), structured logging and tracing, env isolation, secret management, access controls, rollout/rollback plans, and documentation for maintainers. I prioritize reliability, observability, and cost transparency. How I Work Architecture → milestone plan → rapid MVP → evaluations & KPIs (accuracy, latency, cost) → iterate → docs & recorded handoff. US timezone; proactive, plain-English updates; async-friendly collaboration via GitHub/Jira/Slack. Next Step Whether you need a hands-on AI engineer or a Tech Lead to guide a team, I’ll help you ship production-grade systems with clarity and speed. Share your use case (data sources, target users, success metrics), and I’ll send a scoped plan within one business day.

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

🏆 Microsoft's Most Valuable Professional Award - 3rd time in a row!!! ⭐⭐ 🏆Guinness Record holder (Microsoft App Fest) 🏆Consistently ranked as top 0.01% developers in Stack Overflow ⭐ 350+ Successful Projects Worldwide 🏅 Excellent Client Review / Portfolio 🏅 15+ Years of Experience 🏅 Worked with 150+ Companies Worldwide ⭐Certified Devops & AWS Developer. ✅ Devops Architect / Consultant ----------------------------------------------------------------------------------------------------- Greetings, I am Sadhik from Manin Software I would like to introduce about myself and my team. We are a team of Devops Experts, Mentor (Careers, Personal, Full Stack Web Development), Open Source Contributor & Specialist in Devops, AWS, Enterprise Web Application Development with specialisation in Front End Engineering, User Experience and Web App Development. 👉 Cloud : AWS, GCP, Azure 👉 Operating systems : CentOS, RedHat, Ubuntu, Debian, CloudLinux. 👉 Automated deployment : Terraform, Cloud Formation Template, Ansible, Bash, 👉 CI/CD implementation : Jenkins, Go CD 👉 Monitoring and logging: Prometheus, Zabbix, Grafana, ELK/EFK, Cloudwatch 👉 Dockerization and orchestration: Kubernetes, Docker, Docker Swarm 👉 IaC implementation : Terraform, CloudFormation 👉 Microservices infrastructure design, development, and implementation: Docker, Kubernetes 👉 Configuration management: Ansible, chef 👉 Database management : MySQL, MariaDB, MongoDB, PostgreSQL, RDS, 👉 Mail servers : Exim, Postfix, Qmail, SES 👉 Web services : Apache, Nginx, Litespeed 👉 Virtualization : Xen, KVM, VmWare ESXi, OpenVZ 👉 Hosting panels : cPanel/WHM/Plesk/Webmin/VirtualMmin/VestaCP/CWP/SolusVM/Virtualizor In addition, my team comprises of expert professionals belonging to different domains and platforms. Therefore, we are capable of converting any type of ideas/dreams under any domain into a quality product with a challenging low cost.

𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, 𝗜𝗮𝗖, | 𝗔𝗪𝗦, 𝗚𝗖𝗣, 𝗔𝘇𝘂𝗿𝗲 | 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺, 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀, 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 | 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝗶𝘁𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝟭𝟮+ 𝘆𝗿𝘀 𝗘𝘅𝗽) I help companies design, automate, and scale reliable cloud platforms that ship software faster and operate efficiently. With 12+ years in DevSecOps & Cloud Engineering, I specialize in building secure, high-availability systems across AWS, Azure, and GCP, empowering teams to deliver with confidence and speed. Alongside traditional DevOps excellence, I architect modern AI-driven platforms powering LLM applications, vector DB systems, GPU workloads, and automated workflows. From Kubernetes-based AI clusters to n8n and Airflow automation pipelines, I ensure AI products move smoothly from prototype to scalable production. ✅ 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜’𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 𝗵𝗮𝘃𝗲: 👉 Reduced deployment times by up to 70% through automated CI/CD pipelines. 👉 Optimized cloud spend by 25–40% with better architecture and monitoring. 👉 Achieved 99.99% uptime with resilient Kubernetes clusters and HA systems. ⚙️ 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 👉 Linux Server Administration (Ubuntu, CentOS, RHEL) 👉 Networking & Security (VPC, VPNs, DNS, SSL, Firewalls, Load Balancers) 👉 System Hardening & Access Control (IAM, RBAC, MFA) 👉 Database & Caching Systems (MySQL, PostgreSQL, MongoDB, Redis, Memcached) 👉 Scripting & Automation (Bash, Python) 👉 Virtualization & Compute (VMware, EC2, Compute Engine, Azure VMs) 🛠️ 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 | 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 👉 Cloud Platforms: AWS, Azure, GCP, DigitalOcean, Alibaba Cloud 👉 Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift 👉 Infrastructure as Code: Terraform, Ansible, CloudFormation, Puppet 👉 CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI, Bitbucket Pipelines 👉 Monitoring & Observability: Prometheus, Grafana, ELK, Datadog, New Relic 👉 Secret Management & Compliance: HashiCorp Vault, SOC2 / ISO27001 best practices 👉 Cost Optimization & FinOps Practices 🤖 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 👉 AI & MLOps Platforms: SageMaker, Vertex AI, Hugging Face, Kubeflow, MLflow 👉 Vector Databases: Pinecone, Qdrant, Redis-Search / Redis-Stack 👉 LLM & GPU Workloads: Distributed model hosting, autoscaling, inference optimization 👉 AI-Ready Kubernetes: GPU nodes, inference services, model rollout workflows 👉 Workflow Automation: n8n, Airflow, event-driven pipelines 👉 Serverless AI & Edge Deployments: Lambda, Cloud Run, Vercel Edge Functions 👉 API & Model Integration: LangChain, OpenAI stack, secure model gateways 🎯 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 I build secure, scalable, and automated cloud and AI-ready infrastructure that helps teams ship faster, reduce costs, and operate with confidence. My focus is DevSecOps-driven platforms, efficient CI/CD delivery, and reliable Kubernetes environments built for real-world scale. I also deploy modern AI infrastructure, including GPU-based model serving, vector databases, and automation workflows with n8n and Airflow, taking AI products from prototype to production smoothly. The result: systems that are resilient, cost-efficient, disaster-ready, and built to grow with your business. 📌 𝗪𝗵𝘆 𝗛𝗶𝗿𝗲 𝗠𝗲? If you need a hands-on DevOps partner who can design, automate, and optimize your infrastructure while ensuring speed, security, and scalability - I can help. I don’t just build systems; I make sure they deliver business value through efficiency, resilience, and reduced costs. 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝗺𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗥𝗢𝗜 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀. 👉 𝗛𝗮𝘀𝗵𝘁𝗮𝗴𝘀 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗺𝗲 #DevOps #DevSecOps #SRE #CloudArchitect #AWS #Azure #GCP #Kubernetes #Docker #Terraform #Ansible #GitOps #CICD #Jenkins #GitHubActions #GitLabCI #ArgoCD #Helm #InfrastructureAsCode #PlatformEngineering #CloudSecurity #Monitoring #Prometheus #Grafana #ELK #Datadog #Serverless #Automation #n8n #Airflow #WorkflowAutomation #MLOps #AIInfrastructure #LLMDeployment #GPUCloud #SageMaker #VertexAI #HuggingFace #LangChain #VectorDB #Pinecone #Qdrant #Redis

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 AI Engineer with 10+ years of hands-on experience in architecting and building production-grade AI systems including 6 years at Microsoft and GE Healthcare, where I designed and deployed compliant AI systems in enterprise environments, healthcare, and legal. I specialize in transforming complex real-world problems into clean, reliable, and deployable AI systems from model design and optimization to cloud deployment and integration. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐎: I architect and build compliant AI systems for regulated industries where accuracy, auditability, and data controls matter as much as model performance. ▸ 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Production AI systems with hybrid retrieval, structured grounding, hallucination mitigation, semantic caching, evaluation pipelines, monitoring, and reliability controls. ▸ 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Agentic and multi-agent workflows for voice AI, productivity AI, AI accessibility using LangGraph, LangChain, MCP-style orchestration, guardrails, fallback logic, and session-aware memory. ▸ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Production ML pipelines for ranking, classification, OCR / extraction, multimodal workflows, prediction, and model deployment designed for measurable outcomes and maintainable architecture. ▸ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 Computer vision and multimodal systems for OCR, document processing, form extraction, image classification, object detection, and image-to-structured-data pipelines. ▸𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 & 𝐀𝐈 𝐒𝐚𝐚𝐒 Scalable AI platforms and SaaS products with secure APIs, orchestration layers, cloud-native deployment, multi-tenant architecture, RBAC, and product-ready backend systems. ▸ 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Compliance-aware AI systems for healthcare, legal, and fintech, including HIPAA, PHI, PII, auditability, deterministic workflows, and risk-controlled deployment patterns. ▸ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐭𝐨 𝐄𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 LLM, RAG, ML, and computer vision integrated into enterprise workflows, internal tools, legal document systems, healthcare platforms, accessibility-focused products, and SaaS applications through APIs and event-driven architecture. ◆ 𝐅𝐥𝐚𝐠𝐬𝐡𝐢𝐩 𝐰𝐨𝐫𝐤 ▸ 𝐒𝐦𝐚𝐫𝐭𝐂𝐢𝐭𝐞 - 𝐋𝐞𝐠𝐚𝐥 𝐀𝐈 / 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 Built an AI-powered legal document and citation platform designed to extract citations, organize references, and improve legal research workflows. Business result: Reduced manual citation review overhead to 80% and improved the speed to 60%. ▸ 𝐌𝐌𝐇𝐏 - 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Built an AI-powered mental health platform with structured assessments, dashboards, and privacy-sensitive conversational experiences. Business result: Improved support continuity and reduced friction across mental health engagement workflows. ▸ 𝐀𝐈 𝐃𝐨𝐜 𝐌𝐚𝐤𝐞𝐫 - 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built an AI document-generation system for creating structured documents, presentations, spreadsheets, and multimedia content. Business result: Reduced manual drafting effort, accelerated content workflows, and improved output consistency. ◆ 𝐂𝐨𝐫𝐞 𝐯𝐚𝐥𝐮𝐞 𝐈 𝐛𝐫𝐢𝐧𝐠 ✓ Enterprise level AI systems delivered (Microsoft, Bayer, GE Healthcare) ✓ Production AI architecture that holds up under real usage, not just demos ✓ AI systems designed and built with compliance and risk boundaries in mind ✓ Hallucination risk reduced at the system-design level ✓ Agent workflows built for reliability, not experimentation ✓ Machine learning systems that are deployable, monitorable, and aligned with product goals ◆ 𝐓𝐄𝐂𝐇𝐍𝐈𝐂𝐀𝐋 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 LLM / Agents: OpenAI · Anthropic (Claude) · LangChain · LangGraph · LlamaIndex · Hugging Face · MCP · AutoGen · Multi-agent orchestration · tool-use agents · human-in-the-loop · evaluation pipelines · hallucination measurement Retrieval / RAG: Pinecone · Weaviate · hybrid SQL + vector search · Semantic retrieval · context quality scoring · RAG evaluation harnesses calibrated per-domain ML / Vision (Healthcare-specific): PyTorch · TensorFlow · OpenCV · OCR · DICOM · multimodal pipelines · Clinical-grade model evaluation standards Backend / APIs: Python · FastAPI · Node.js · REST APIs · Event-driven systems · microservices · FHIR-compatible API design Infrastructure: AWS · Azure · GCP · Docker · Kubernetes · CI/CD · MLOps · evaluation pipelines · audit-logging infrastructure · HIPAA-compliant data residency configurations I'd love to help in building your AI products from ground up or fixing your underperforming systems/models. Need an AI architect/engineer to own production delivery end to end? Send me a message!

I help startups and enterprises build production software that scales. With 20+ years of engineering experience, I deliver end-to-end solutions across AI, mobile, backend, cloud, and automation, from architecture and implementation to deployment and long-term support. I also build analytics, marketing automation, and data platforms, helping businesses measure user behavior, optimize conversions, and automate operations using modern analytics and AI tooling. 🏆 Selected Highlights ✅ Production mobile apps with millions of downloads across iOS & Android ✅ AI-powered platforms serving Amazon Prime, Disney+, Discovery & Universal ✅ Clinical SaaS platform acquired for $53M ✅ Enterprise data systems supporting 3,143 US counties ✅ Production SDKs contributing to $5.7M in licensing deals ✅ Delivered $3.1M in annual operational savings with 377% productivity improvement 💡 Core Expertise 🤖 AI & LLM • Claude • OpenAI • MCP • RAG • AI Agents • LangGraph • Vector Search • Prompt Engineering ⚙️ Backend • Python • FastAPI • Node.js • TypeScript • PostgreSQL • REST • GraphQL • Microservices 📱 Mobile • React Native • Flutter • Swift • Kotlin • Expo • BLE • Firebase • App Store & Google Play ☁️ Cloud & DevOps • AWS • Azure • GCP • Docker • Kubernetes • Terraform • GitHub Actions • CI/CD 📊 Analytics & Data • Google Analytics 4 (GA4) • Google Tag Manager (GTM) • Looker Studio • Google Search Console • PostHog • Mixpanel • BigQuery • Snowflake • A/B Testing • Event Instrumentation • Conversion Tracking • Product Analytics 📈 Marketing & Growth • HubSpot • Shopify • Stripe • Meta Marketing API • Facebook Conversions API (CAPI) • Google Ads • Klaviyo • CRM Automation • Email Marketing • Lead Tracking 🔗 Automation & Integrations • n8n • Make • Zapier • Twilio • Microsoft Graph API • Shopify APIs • Google APIs • Slack API • Webhooks 🔒 Security & Compliance • SOC 2 • ISO 27001 • HIPAA • SOX • GDPR-Aware Architecture • OAuth • JWT • RBAC 🎯 What You Can Expect ✔️ Production-ready architecture ✔️ Clean, maintainable code ✔️ Fast delivery using Claude Code & Cursor ✔️ Proactive communication ✔️ Scalable, secure, and reliable solutions ✔️ Long-term technical partnership 🌟 Available For • Fractional CTO • AI & LLM Systems • Full-Stack Development • Mobile Applications • Cloud Architecture • API Development • Automation & Integrations • Technical Leadership

I'm a results-driven Full-Stack Developer and DevOps Engineer with over 8 years of experience in architecting, developing, and deploying high-performance web and mobile applications, and 6+ years of deep hands-on expertise in DevOps, cloud infrastructure, and automation. Whether you're a startup, mid-sized business, or enterprise, I deliver end-to-end solutions that are scalable, secure, and optimized for performance. From cloud-native development and infrastructure automation to AI-powered applications and seamless CI/CD pipelines — I transform complex technical requirements into robust, business-ready systems. 💻 Full-Stack Development Front-End: React.js, Next.js, Vue.js, Angular, Redux, RxJS, Electron Back-End: Node.js, Express.js, Python (Django, FastAPI), Ruby on Rails Databases: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch, Oracle API & Integration: RESTful & GraphQL APIs, SOAP, Webhooks, Data Warehousing DevOps | Platform Engineering | Cloud Architect Cloud & Infrastructure AWS, Azure, GCP • Terraform, Terragrunt, AWS CDK, Pulumi, CloudFormation, Crossplane • Infrastructure as Code (IaC) Platform Engineering & Kubernetes Kubernetes (EKS, AKS, OpenShift), Docker, ECS • GitOps (ArgoCD, FluxCD) • Internal Developer Platforms (IDP) • Multi-Cluster Operations CI/CD & Automation GitHub Actions, GitLab CI, Jenkins, CircleCI, AWS CodePipeline • Release Automation • Deployment Strategies • DevSecOps Site Reliability Engineering (SRE) High Availability • Incident Management • Reliability Engineering • Capacity Planning • Performance Optimization Observability & Monitoring Prometheus, Grafana, OpenTelemetry, Datadog, New Relic, ELK/EFK • Distributed Tracing • Centralized Logging Security & Configuration Management HashiCorp Vault, AWS Parameter Store, Secrets Management • Ansible, Chef • IAM & Cloud Security Best Practices AI Infrastructure & MLOps LLM Infrastructure • Generative AI • Model Serving • Kubeflow • MLflow • KServe • Vector Databases • AI/ML Platform Engineering Distributed Systems & FinOps Scalable Cloud Architectures • Cost Optimization • FinOps • Multi-Region Deployments • Disaster Recovery Certifications • AWS Certified Solutions Architect • HashiCorp Certified Terraform Associate Terraform Certified – AWS Cloud Economics AWS Technical Professional AWS Business Professional Why Work With Me? ✔ End-to-End Ownership — Architecture, Automation, Security, and Operations ✔ Cloud-Native Expertise — Building scalable and resilient platforms on AWS, Azure, and GCP ✔ Platform & SRE Focus — Improving developer productivity, reliability, and operational excellence ✔ AI & MLOps Experience — Deploying and managing modern AI/ML workloads at scale ✔ Clear Communication — Reliable delivery with transparent collaboration 📩 Let’s collaborate and bring your vision to life with innovation, reliability, and technical excellence.