Hire the Best Kubernetes Developers in Texas

I’m a Top Rated Plus AI Full Stack Developer with 8+ years of experience building scalable SaaS platforms, AI-powered applications, and cloud-native systems using React, Next.js, TypeScript, Laravel, and Python. I help startups and product teams move from idea → MVP → production → scale with clean architecture, intelligent automation, and AI integrations designed for long-term growth. If you’re building: • A SaaS platform with React or Next.js • A TypeScript-based modern frontend • A Python (FastAPI/Django) or Laravel backend • A GPT or LLM-powered application • A RAG-based knowledge system with vector search • A scalable multi-tenant SaaS architecture • A production-ready MVP I can architect and deliver it correctly from day one. AI-Accelerated Development Workflow: I operate in an AI-native development environment to accelerate delivery while maintaining clean, scalable architecture. My workflow includes: • GitHub Copilot & Cursor for intelligent code acceleration • ClaudeCode with MCP for agent-driven engineering • Replit Agents & Lovable.dev for rapid MVP prototyping • v0 & AI-assisted UI generation for fast frontend iteration • Google Antigravity & advanced AI coding environments for experimentation and optimization • OpenAI-powered automation and rapid system validation AI & LLM Systems: • OpenAI / GPT integrations • Claude & Gemini integrations • LangChain workflows • Retrieval-Augmented Generation (RAG) • Vector database integration (Pinecone, embeddings, semantic search) • AI agents & AI copilots • NLP-powered applications • TensorFlow, PyTorch integration • AWS SageMaker deployments Full Stack SaaS Engineering: • React & Next.js frontend architecture • TypeScript-based scalable UI systems • Laravel & Python (FastAPI, Django) backend development • Node.js, Express.js, NestJS APIs • REST, GraphQL & WebSockets • Multi-tenant SaaS platforms • Stripe billing & subscription systems • Admin dashboards & analytics panels Architecture & Infrastructure: • PostgreSQL, MySQL, MongoDB, Firebase • Pinecone vector database systems • Supabase & scalable BaaS platforms • Microservices & serverless architecture • AWS (Lambda, EC2, S3) • Docker & Kubernetes • Nginx production deployments • CI/CD pipelines & containerized environments If you’re looking for a Top Rated Plus engineer who understands both AI systems and scalable SaaS architecture - let’s build something powerful. Keywords: AI Developer, AI Engineer, AI SaaS Developer, Generative AI Developer, GPT Developer, OpenAI Developer, Claude Developer, LLM Application Developer, RAG Developer, Vector Database Developer, Pinecone Developer, Semantic Search Developer, AI Agent Developer, LangChain Developer, AI Automation Expert, Full Stack Developer, SaaS Developer, MVP Developer, React Developer, Next.js Developer, TypeScript Developer, Python Developer, FastAPI Developer, Django Developer, Laravel Developer, Node.js Developer, GraphQL Developer, AWS Developer, Microservices Architect, n8n, Replit, Lovable, Full Stack Developer

I'm a Cloud and AI Systems Architect with 15+ years of enterprise experience, including 4 years at Microsoft on the Azure team where I consulted F500 companies like AT&T, Walmart, and Mastercard on AI, cloud adoption, security, and infrastructure at scale. I founded TechVora, a small in-office engineering team based in Houston, TX. We work mainly with clients where security, compliance, governance and uptime are non-negotiable. In other words they can't just let AI freely access and train on specific confidential data. All engineers work in-house, we never sub out work, which matters when sensitive data is involved. WHAT MAKES US DIFFERENT I act as the architect on every engagement and don't bill for my time. You get senior-level architecture, design, and oversight built into the cost of your developer. AI & PRODUCTION SYSTEMS Over the last two years we've shifted heavily into production AI - we've shipped four enterprise-grade multi-tenant AI applications across legal, accounting, oil & gas, and media, all involving custom LLM pipelines, RAG, and agents handling real sensitive data at scale. CORE COMPETENCIES - Cloud Architecture & Migration (Azure, AWS, GCP) - AI/LLM Integration — RAG, Agents, Multi-tenant Production Apps - DevSecOps, CI/CD, Infrastructure as Code (Terraform, Bicep) - Data Pipelines, Warehousing & ETL - HIPAA-Compliant Architecture - Monitoring, Observability & Incident Response - M365, Azure Security & Compliance Happy to jump on a quick call - I offer a free strategy session for any new engagement.

I build, repair, and scale production systems from the application layer all the way down to the infrastructure it runs on. For 16 years, my work has spanned backend engineering, DevOps, cloud infrastructure, Linux, networking, databases, containers, Kubernetes, CI/CD, observability, and distributed systems. I’m usually brought in when a system has become complicated, unreliable, expensive, difficult to scale—or simply too important to leave to guesswork. My work has ranged from pre-seed startups and founding engineering teams through hypergrowth companies, Fortune 500 environments, and infrastructure serving millions of users. I’m hands-on: I write application and systems code, design architectures, debug production failures, build infrastructure, automate operations, and work directly with engineering teams. Python, Django, Go, Rust, PostgreSQL, Linux, AWS, GCP, Docker, Kubernetes, Terraform, APIs, networking, cloud architecture, migrations, performance, reliability, and security. If the problem crosses boundaries between software, infrastructure, and operations, that is usually where I am most useful. I’ve helped companies replace fragile infrastructure, untangle inherited systems, migrate production workloads, improve deployment pipelines, build internal platforms, reduce operational risk, and scale systems through major increases in traffic and complexity. I care less about fashionable architecture than systems that remain understandable, operable, and useful long after they are built. My goal is to build systems people complain are out of style in 20 years because they still work.

Java and Spring Framework expert with over 7 years of experience in the software engineering. If you're looking for a skilled Software Engineer who can help you build fast, scalable, and high-performance applications, then look no further. Let's work together and bring your project to life. Skills: - Programming Languages: Go, Java, Kotlin, Swift, React - SEO: AI SEO, GEO, XEO, AEO, GBF Ranking, Local SEO, Off Page | Guest Posting | All Backing - Technologies: Gin, Viper, Serverless, SpringBoot, Kafka, Akka, Splunk, ELK, Wordpress - Database: DynamoDB, Couchbase, MS SQL, MySQL, Spring Data, DB2 - Design: E-Commerce Websites, Meta Ads 𝐖𝐇𝐀𝐓 𝐒𝐄𝐓𝐒 𝐌𝐄 𝐀𝐏𝐀𝐑𝐓: I have 7 years of Industry experience, working in companies having customers in the millions & building and maintaining applications responsible for well over a thousand requests per second. I have built synchronous and asynchronous systems - Dozens of REST APIs and message queues. Digital growth strategist and visual designer with 3–4 years of experience delivering end-to-end web performance. I leverage next-generation search techniques—including GEO, AEO, and AI SEO—to ensure your brand ranks across all major discovery channels. Paired with custom e-commerce web design and targeted Meta Ad creative, I help brands build credibility, attract ideal clients, and drive consistent sales. Reach out today, and together we'll create digital experiences that stand out in the crowd.

Senior full-stack engineer and team lead with 20+ years of experience. I specialize in real-time video / WebRTC streaming and in AI/ML systems that ship to production. I currently lead engineering at a live-video startup, where I architect streaming, scalable real-time chat, and AI features across the entire stack. Across my career I've built high-load platforms, custom HTML5 video players, and developer tooling serving thousands of concurrent users. I can help you with two things in particular: Real-time video & streaming: WebRTC, live streaming, HLS, HTML5 and custom video players, low-latency media pipelines, and scalable chat. AI/ML engineering: LLM-powered apps, MCP servers & plugins, autonomous agents and workflows, RAG with vector databases, model fine-tuning (Hugging Face, PyTorch, LoRA/PEFT), and reinforcement learning (training models and building custom RL environments). Core stack: TypeScript/JavaScript, Go, Python, Rust, Node.js, React, Next.js; PostgreSQL, MongoDB, Redis; Google Cloud, AWS, Docker, Kubernetes. Open-source author: I created and maintain StateFlow (stateflow.dev) — a type-safe, predictable state-management library for TypeScript, running in production at the company I lead. What you get working with me: clean, testable, production-grade code; clear communication; and a senior engineer who can both lead the architecture and do the hands-on work to ship it. Building a video product, an AI/LLM feature, or an autonomous agent or need a senior lead to take something from idea to launch? Send me a message with a few details about your project and I'll tell you exactly how I'd approach it.

What sets my AI work apart is that I treat the model as one component in a system, not the whole system. The LLM proposes, deterministic code decides. That is how I build agents that can take real action without acting dangerously. 💡 What I build ⬡ AI agents and multi-agent systems with CrewAI, AutoGen, LangGraph, and LangChain that coordinate real tasks end to end. ⬡ RAG pipelines with LlamaIndex, FAISS, pgvector, and sentence embeddings that ground LLMs in your own knowledge base. ⬡ LLM-in-the-loop systems with hard safety boundaries, where a deterministic rule engine authorizes every action the model proposes. ⬡ MCP servers that expose your tools to Claude and other agents natively over JSON-RPC. ⬡ Workflow automation with n8n, Zapier, and Playwright browser automation that runs unattended with real error handling and retries. ⬡ Production APIs in FastAPI, Django, and Flask, and full-stack apps in React 19 and Next.js. ⬡ Provider-agnostic LLM integration across OpenAI, Anthropic, Google, Groq, Mistral, and local Ollama models behind one interface. 🛠️ Selected work orch, an open-source CLI published to npm that routes prompts across multiple AI coding agents through a single interface, with budget-aware selection learned from real quota and rate-limit failures A human-in-the-loop review service for AI-authored documents: a containerized HTTP API plus an MCP server exposing 20 review tools, deployed multi-user behind OAuth An LLM trading research bot on the Binance test network, where the model reasons over market data through read-only tools and a deterministic risk engine is the only path to an order, verified live and backed by roughly 470 tests A full job-application platform: a FastAPI agent service that scouts, scores, and tailors applications across six sources, with a provider-agnostic LLM layer and Playwright auto-apply, fronted by a Next.js dashboard An autonomous server-maintenance agent packaged in Docker, and a Chrome extension that fills web forms from your own documents using a pluggable local-or-cloud AI layer 🧠 Background and research Generative AI, University Texas at Dallas. My dissertation studies whether large language models actually know what they do not know, probing model calibration and hallucination at knowledge boundaries. I also write about LLM reliability on my engineering blog. Before that I spent years in production software and contact-center systems integration with tools like Cisco Finesse, ActiveMQ, and Jira automation, so I am comfortable both building greenfield AI products and working inside existing enterprise systems. 🛠️ Core stack Languages: Python, TypeScript, Go, JavaScript AI: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, OpenAI API, Anthropic API, Gemini, Groq, Ollama, RAG, PyTorch, Hugging Face Back-end: FastAPI, Django, Flask, NestJS, Node.js Front-end: React 19, Next.js, TypeScript, Tailwind Data: PostgreSQL, SQLite, FAISS, pgvector, Redis, Firebase Infrastructure: Docker, Docker Compose, GitHub Actions, CI/CD, Nginx, VPS deployment If you need an LLM agent, a multi-agent system, a RAG pipeline, or a full-stack AI product built by someone who cares whether it still works next month, send me a message and tell me what you are building. I will tell you honestly whether I am the right fit. Keywords: AI Engineer, LLM Developer, AI Agent Development, Multi-Agent Systems, RAG Systems, LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, Model Context Protocol, OpenAI API, Anthropic Claude, Python Developer, FastAPI, Django, Next.js, React, TypeScript, LLM Integration, Prompt Engineering, Vector Databases, Workflow Automation, Playwright, Generative AI, Machine Learning, Ollama, AI Automation, AWS, AWS ECS/ECR, Amazon Web Services, AI Agent, Digital Project Management, Technical Project Manager, Front-end Development, Back-end Development, Versal