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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 have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.
I'm Damilola Ogunmoye, a tech enthusiast, passionate result-driven solution provider, and the Co-founder and CTO at a Technology company that focuses on developing products and digital solutions; to empower forward-thinking businesses. I have a Bsc. in Computer Science with Economics and graduated with honors. I have over ten years of experience building digital products in different industries using various tools and technologies. My focus is on leading a team that delivers clean, maintainable, scalable, secured, and robust products with great architecture. I've worked with Javascript frameworks/libraries like React, Vue, ReactNative, Svelte, etc. CSS frameworks and libraries such as TailwindCSS, SASS, LESS, etc., Programming languages such as PHP, Go, Python, Javascript, etc., as well as relational and No SQL databases not limited to MySQL, MSSQL, MongoDB, Redis, PostgresSQL. I've helped build APIs for products and love building out tools for fun. I believe in continuing to innovate. One must always strive to improve by learning every day. I am currently enjoying working with Laravel, Tailwind, VueJS, and InertiaJS at the moment. Diving deep into Coding Smart Contracts in Solidity and Building Machine Learning Algorithms for Fun. Feel free to chat with me about any issues you might encounter in subjects not limited to Product Design and Architecture, Deployment (CI/CD), Detailing Technical Specifications, etc. I'll be more than willing to help.
I'm a **Senior .NET & AI Architect with 21+ years** of experience helping developers, startups, and engineering teams solve difficult technical problems. Whether you're a beginner using AI to build software ("vibe coding") or an experienced developer building enterprise applications, I can help you move faster using modern AI tools like **Claude, Cursor, ChatGPT, GitHub Copilot, and Gemini, Antigravity**. **I can help with:** - Blazor Server & WebAssembly - ASP.NET Core & .NET - ASP.NET ZERO AND ABP Framework - C# debugging and performance optimization - AI Agents & LLM integrations - Claude Code, ChatGPT, GitHub Copilot workflows - Semantic Kernel, LangGraph & Model Context Protocol (MCP) - Entity Framework Core & SQL Server - Architecture reviews - Code reviews and pair programming - Bug fixing and production issues - Azure deployment & CI/CD My mentoring style is practical and hands-on. Whether you're fixing a production bug, building an AI-powered application, or trying to get Claude to generate better code, we'll identify the root cause, solve the problem together, and make sure you understand the solution. If you're stuck, let's get you unstuck.
Passionate Software Engineer, AI Agent Developer, and Debugging Specialist with over 10 years of experience building, troubleshooting, and optimizing software across a wide range of technologies. I've mentored 200+ developers on their coding journeys, helping them solve complex bugs, design scalable solutions, and grow their technical skills. Whether you're stuck with a tricky bug, need guidance on architecture, or want help with AI agents, backend, frontend, or full-stack development, feel free to reach out. I'll do my best to understand your problem and provide a practical, effective solution as quickly as possible.
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions. I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning. In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics. **What you can expect from me as a mentor:** * Clear, structured lessons—customized to your pace and background * Real-world coding practices from enterprise-grade projects * In-depth AI/ML concepts explained from scratch * Doubt-clearing sessions before every new topic * Practical examples connecting theory to implementation If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
Hi! I'm Jahanzaib Tayyab , a Full Stack Developer with 5+ years of experience building scalable web applications. I specialize in JavaScript, TypeScript, React, Next.js, Node.js, Tailwind CSS, Python, and advanced AI solutions (OpenAI, LangGraph,Gemini). **As your mentor, I can help you:** * **Master the full-stack:** From front-end to back-end, including databases and AI integration. * **Improve your coding skills:** Learn best practices, TDD, and write clean, maintainable code. * **Build real-world projects:** Gain hands-on experience with modern technologies like Next.js, Tailwind CSS, and AI agents with LangGraph. * **Prepare for your career:** Get interview tips, resume guidance, and career path advice I believe mentorship is a two-way journey. My goal is to empower you to unlock your potential while continuously learning from your unique perspectives. Let's collaborate to sharpen your skills, tackle challenges, and achieve your goals in tech!
I build the thing end-to-end. Prototype → PRs → deployed system with evals, guardrails, and monitoring. iOS/Swift + Python + agents. You get handover-ready code in your repo, not spaghetti AI. Ex-Uber. 16 years shipping. WHAT I DELIVER: • Production AI systems — not prototypes that break in prod • Evals, guardrails, and monitoring built in from day one • iOS/Swift frontends + Python/agentic backends • Handover-ready code, not spaghetti AI PROOF: • WhisperBoard — 50K+ downloads, 4.8★ rating • mcp-browser-use — 850+ GitHub stars • Ex-Uber engineer, 16 years building production systems • 5.0 rating on Codementor (30 reviews)
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS. I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript. I have developed chatbots using **LLM and retrieval augmented generations.** I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
Product-minded **CTO / Senior Full-Stack Engineer** who ships web + mobile applications fast (**prototype → MVP → production**) and builds the durable AI + workflow systems behind them. Strong across **UI/UX execution** (interaction-driven UIs, internal tooling, fast iteration loops) and **Backend/AI infrastructure** (Python, TypeScript, OpenSearch, PostgreSQL, workflow orchestration). Designed **end-to-end architectures**, integrated external vendors, hired/interviewed engineers, and owned continuous improvement, monitoring, and reliability.
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