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**📝 Profile Context / Summary** With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer. I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration. **🤖 AGENTIC AI & MACHINE LEARNING** 2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in: Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers. Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS). AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance. Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy. Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization. AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems. **⚛️ MODERN FRONTEND** React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default: Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro. Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI. State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai. Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack. TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings. **📱 MODERN MOBILE** React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls: Frameworks: React Native (Expo), NativeScript, Flutter. Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose). Emerging: GPU-powered rendering for consumer and enterprise apps. **⚙️ MODERN BACKEND & API** Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support). Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications. API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets. Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS. **☁️ DEVOPS & CLOUD (2026 Standard)** Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model: Cloud: AWS, GCP, Azure (multi-cloud architecture). Containerization & Orchestration: Docker, Kubernetes (K8s), Helm. Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices. IaC: Terraform, AWS CDK, Pulumi. CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins. **🗄️ DATABASES & SEARCH** Relational: PostgreSQL (PostGIS), MySQL, SQLite. NoSQL: MongoDB, DynamoDB, Firebase. Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search). Search: Elasticsearch, Algolia, Meilisearch. Caching: Redis, Memcached. **🔗 CRM, AUTOMATION & INTEGRATION** In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI: CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho. Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms. Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier. Citizen Development: 80% of low-code users are now "citizen developers". **🚀 Why Partner With Me in 2026?** The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes. **I bring:** 10+ years of battle-tested engineering across the full spectrum. Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC. Systems thinking and architectural judgment—skills that AI cannot replace. Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure. Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions. Let's architect intelligence together. **Contact me today.**
I am **US-based** and have **30+ years experience** during which I have been an AI user, a software engineer, a programming trainer, a marketer and an entrepreneur. My current focus is in **long term tutoring** professional in using **AI**, **software development**, and/or **CI/CD DevOps** Specifically: 1. I specialize in teaching **Claude Code** to non-developers who want to build software 1. I specialize in **Go** and **Bash** but can handle any language; e.g. Python, TypeScript, etc. 2. I love **API**s and can teach you how to call them with command line Bash tools 3. I can teach you how to write API **servers** in Go, and also how to call APIs in Go. 4. I have 25+ years in **SQL** and can teach SQLite, MySQL, or Postgres 5. I can teach you to configure **macOS** and **Linux** for programming 6. I can teach **CI/CD** with **GitHub Actions**, Jenkins, GitLab, or others 7. I can teach using **Docker** containers and/or how to build them 8. I can how to write **Kubernetes** controllers and operators in Go 9. I can teach you how to work with **Digital Ocean** or basics in **AWS**. I can also teach you many other things. While I don't use Windows daily, I have used it in the past and am familiar with PowerShell and Windows System for Linux so I can help with those if need be. ALSO, I am great at learning on the fly so if you are interested in me helping you learn something I have not listed I will consider giving a discount for topics that allow me to learn new things while teaching, especially related to AWS.
Full-stack Engineer (12+ yrs) experienced in 20+ data-intensive web/mobile apps Co-founded Enappd.com – Django + React marketplace; $100K+ revenue from code sales Architected full-stack systems with React, NodeJS, Django, SQL, AWS, GCP, Firebase Built REST & GraphQL APIs, CI/CD pipelines using GitHub, Jenkins, Docker, AWS Worked on RAG and agentic AI projects with strong ML/NN understanding
I am a talented Software Engineer with additional experience as a Test Analyst and DevOps Engineer. I currently work on deploying to k8s clusters using Helm, managing Azure infrastructure using Terraform and develop automation using Python, TypeScript and bash shell scripts in GitLab pipelines. My capabilities also cover code review of Go services and test automation using Java frameworks
Rust Senior developer & CTO. From Fullstack engineer, to system and protocol programming with Rust. I have created a few large projects with rust, all are currently running in production, and converting all past projects into... Rust as well ;) I live rust, i breath rust, and I eat rust for breakfast.
I've been developing and programming forever. It is what I do. I *love* helping people. I know many languages and methods. I've implemented many different things and I can usually find solutions to issues in a heartbeat. Let me help you , you will be glad you did.
Senior DevOps Engineer with 8+ years of experience architecting, migrating, and operating secure, scalable,and automated cloud infrastructure across airline, telecommunications, retail, and software environments.Specialized in AWS, Azure, Kubernetes, Terraform, CI/CD automation, GitOps, Infrastructure as Code, observability,virtualization, and platform operations. Certified AWS Solutions Architect Professional,AWS Certified DevOps Engineer – Professional, Microsoft Azure Solutions Architect Expert, CKA, and CKAD. Deliveredenterprise cloud migrations, Kubernetes platforms, multi-account AWS environments, infrastructure automation,virtual desktop platforms, and cost optimization initiatives with measurable impact across production environments.
Pleased to meet you. I'm a Ruby developer, software architect, technical coach and infrastructure engineer, and I've been designing, developing and working with emerging technology for more than 10 years. I'm looking forward to working with you to help you improve your skills, take a new career direction, or perhaps just fill your spare time learning something new. I'd be very happy to talk about AWS, Ruby, Linux, Docker and Containerisation, Networking (including switching and routing), Configuration Management (such as Puppet), or more general software and infrastructure concepts. I'm a certified AWS Solutions Architect at the professional level, and a certified subject specialist in Security and Advanced Networking.
Veteran software engineer with broad experience in automation, virtualization, various languages and platforms, performance analysis, etc. -- all the tools to get the job done. I've been programming since I was in the 7th grade, and 20 years professionally. I am self-taught, so I have a knack for staying up with current technology and quickly adapting. I understand architecture at a low level, and am passionate about well-designed, robust software. My automation background comes from being the primary developer on a very large server application with little resources to support it, so, every task that could be automated, had to be. Ruby has been my automation language of choice, though I anticipate Go replacing it where performance is concerned. I like solving problems big and small, so, I'm glad to work with students; though businesses and other developers stand to benefit the most from working with me.
I’m a Software Engineer at heart, especially when it comes to crafting cloud-native microservices and pushing for seamless optimizations. My approach is grounded in empathy, focusing on what customers really need while designing reliable, scalable solutions. I love turning complex challenges into intuitive, human-centered experiences that make a real impact. Let’s build something incredible together!
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