Tech ProLIVE, LLC

About the Business

MLEG Tech provides principal-level artificial intelligence engineering, custom software development and technical consulting. Led by Michael Legemah, an AI and full-stack engineer with a career spanning more than a decade, the business helps organizations turn complex ideas into reliable, production-ready technology. MLEG Tech specializes in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and MLOps. Services include agentic AI systems, multi-agent workflows, RAG pipelines, LLM architecture, AI product engineering, model deployment and intelligent workflow automation. The business also develops AI evaluation, monitoring and reliability frameworks that help organizations identify failures, measure performance and maintain dependable results after deployment. Engagement options include fixed-scope AI system builds, AI reliability audits, full-stack product development and ongoing fractional engineering support. Mike offers flexible engagement options based on the scope, complexity and duration of each organization’s needs: • Agentic System Builds: Fixed-scope, four-to-eight-week engagements for designing and deploying production-ready multi-agent workflows using LangGraph, Amazon Bedrock or an organization’s existing technology stack. • AI Evaluation and Reliability Audits: Two-to-four-week engagements that identify real-world failure modes and build automated evaluation pipelines, LLM-as-Judge testing and CI/CD regression controls. • Fractional AI Engineering: Ongoing principal-level engineering support for organizations that need senior AI expertise two to three days per week without hiring a full-time engineer. Mike maintains an active DoD Secret clearance and is prepared for engagements involving sensitive, clearance-gated environments. His experience includes work with AWS Professional Services, the U.S. Army Artificial Intelligence Integration Center (AI2C) and the U.S. Space Force. His active clearance can reduce the lengthy onboarding process often required for new contractors and allow substantive project work to begin sooner. Technologies • AI and Machine Learning: LangChain, LlamaIndex, Hugging Face, OpenAI SDK, Claude, GPT, Gemini, Llama, Mistral and Amazon Nova Pro • RAG and Vector Databases: Pinecone, Chroma, Weaviate, FAISS and Amazon Neptune Generative Media: Stable Diffusion, DALL-E, Midjourney and Adobe Firefly • Front-End Development: JavaScript, TypeScript, HTML, CSS, Next.js, React, Vue, Svelte, React Native and PWAs • Front-End Tools: Tailwind CSS, Bootstrap, Framer Motion, GSAP and Highcharts • Back-End Development: Python, PHP, Lua, Solidity, Node.js, FastAPI, Django, Flask, Laravel, Express and Fastify • APIs and Runtime: GraphQL, REST, Node.js and Deno • Databases: PostgreSQL, MySQL, MariaDB, Amazon Aurora, MongoDB, Firestore, Redis and Memcached • Cloud and DevOps: AWS, Google Cloud, Microsoft Azure, Vercel, Docker, Linux, RabbitMQ, OpenSSL and Keycloak • Analytics and Development Tools: Google Analytics, Google Tag Manager and Jupyter • CMS and E-Commerce: WordPress, Shopify, Drupal, Adobe Experience Manager and ExpressionEngine • Templating: Liquid, Twig and Handlebars

Services

Consultation · Custom work · Project-based work · AI · RAG · LLM · SaaS · Applications · AI Engineering · Large Language Models · LLM Development · Retrieval-Augmented Generation · RAG Development · RAG Pipelines · MLOps · Machine Learning Operations · Custom AI Development · Agentic AI Systems · Multi-Agent Workflows · LLM Architecture · AI Product Development · AI Integration · AI Automation · AI Consulting · AI Evaluation Frameworks · AI Reliability Audits · Full-Stack Development · Custom Software Development · Workflow Automation · Fractional AI Engineer · Over 10 Years of Experience · Active DoD Secret Clearance · Clearance-Gated AI Engineering · Federal AI Contractor · AWS Professional Services · U.S. Army AI2C · U.S. Space Force · Agentic System Builds · AI Evaluation · LLM Reliability Testing · LLM-as-Judge · CI/CD Regression Testing · Fractional AI Engineering · Amazon Bedrock · LangGraph · Government Technology Consulting