Clint Morgan
Marietta, Ga ***** 678-***-**** *************@*****.*** GitHub LinkedIn
Principal AI & Cloud Architect Advancing Intelligent Solutions
Professional Summary
Visionary technologist with 25+ years of software engineering experience and a decade leading enterprise-scale, cloud-native solutions across AWS, Azure, and GCP. Equal parts Cloud Solutions Architect, Software Engineer, and AI strategist—trusted to design, build, and scale production-grade systems that align with long-term business goals. Proven ability to deliver impactful solutions across domains, from multi-agent AI platforms to high-performance distributed architectures. Known for bridging strategy and execution, mentoring technical teams, and driving innovation through systems thinking and technical leadership.
Vector stores, Embeddings, moderation API, instruction hierarchy, agent handoffs, tracing, guardrails, MCP (Model Context Protocol)
Key Strengths
Enterprise AI & ML Solutions: Generative AI (LLMs, Multi-Agent Systems), RAG, fine-tuning, model optimization, ML Ops, reinforcement learning, vector stores, MCP, moderation, guardrails, embeddings, agent handoffs
Multi-Cloud Architecture: AWS, Azure, GCP, cloud-agnostic solutions, ETL pipelines, workflow automation
Business-Driven Engineering: ROI-focused roadmaps, cross-functional alignment, strategic cost optimization
Tech Leadership & Governance: AI governance, compliance (HIPAA, SOC2, GDPR), agile team leadership
DevOps & Distributed Systems: IaC, Terraform, Kubernetes, Docker, CI/CD, serverless compute
Professional Highlights
Artificial Intelligence & Machine Learning
oBuilt production-grade GenAI systems using Chain-of-Thought, Chain-of-Draft, and multi-modal pipelines
oArchitected LLM orchestration, RAG, vector search (Pinecone, Supabase), and token-optimized routing
oDelivered advanced multi-agent automation using Agentic AI, MoA/MoE frameworks, and CoT/CoD loops
oDesigned ML workflows with model pruning, quantization, and federated learning techniques
oImplemented customer-facing chatbots using reinforcement learning and natural language processing for on-brand and personalized customer experiences
oEngineered generative AI frameworks unifying ChatGPT, Claude, Grok, Gemini, and open-source models (Llama, Mistral) into scalable multi-agent systems for reasoning, debate, and execution..
Cloud Solutions Architecture
oDeep experience in AWS, Azure, and GCP architecting performance and cost-optimized enterprise solutions
oContainerized microservices (Docker, Kubernetes), serverless (AWS Lambda, Azure Functions),
oEngineered secure cross-container network communications using Redis, WebSockets, and gRPC
oEnabled efficient cost governance (up to 23% savings) and cross-cloud infrastructure resilience.
oDesigned high-throughput, low-latency distributed services for AI agent orchestration.
Full Stack Software Engineering
o18+ years with the Microsoft stack (.NET, C#, SQL)
oAL/ML development - Python, Django, Flask, FastAPI, PyTorch, TensorFlow, Hugging Face, Ollama
oExperience with modern web frameworks (Next.js, React, TypeScript, Supabase, MongoDB, PostgreSQL)
oDelivered solutions across SaaS, biometrics, digital forensics, and hybrid cloud environments
Architecture Strategy & Vision
oLed org-wide architecture strategy aligned with long-term business outcomes and technical excellence
oDelivered resilient, production-grade services with strict SLAs, leveraging CI/CD and cloud-native patterns
Leadership & Collaboration
oMentored cross-functional teams (C-suite, DevOps, Data Scientists) to deliver AI-driven outcomes
oEstablished AI and ML best practices, from ideation to proof-of-concept and production readiness
oDesigned technology roadmaps and led legacy to cloud migrations with near-zero downtime
Key Achievements
$30M Digital Transformation: Automated 700+ institutional migrations for a Fortune 200 fintech, saving nearly 750k labor hours
Enterprise AI Frameworks: Integrated LLMs, RAG, and federated learning across distributed workflows for robust decision-making
Cost & Efficiency Gains: Reduced operational costs by 23% through cloud-agnostic strategies, and decreased customer support queries by 47% with AI-driven chatbot solutions
Seamless Cloud Migrations: Achieved zero downtime in large-scale moves to AWS/Azure, cutting infrastructure spend by 39%
Professional Experience
Principal AI-Driven Cloud Solutions Architect June 2024 – Mar 2025
QBurst Technology Solutions Remote Contract
Designed and deployed collaborative, mission-critical multi-agent systems using ChatGPT, Claude, Grok, Gemini, Llama 2b, Vertex AI, and other open-source LLMs for autonomous task orchestration and problem-solving.
Engineered cloud-agnostic, portable workflows in Azure and GCP using Docker containers and Kubernetes.
Provided AI agents with extended context using MCP server, stdio, and SSE
Delivered production-grade AI services, ensuring scalability, reliability, and security at every stage of the deployment pipeline.
Achieved a 79% reduction in LLM token usage and a 74% decrease in latency through Chain-of-Draft (CoD) reasoning.
Utilized advanced Machine Learning Engineering techniques to fine-tune LLMs for consistent, on-brand messaging across channels.
Leveraged vector search routing to enhance efficiency and mitigate hallucinations in AI responses.
Created an innovative "recipe-to-cart" system, streamlining the customer experience.
Developed NLP-to-SQL and web scraping tools to automate workflows and empower data-driven decision-making.
Strengthened API security using Apigee Gateway, Cloud Armor, and Model Armor, preventing exploitation and safeguarding systems.
Utilized Docker containers for scalable, high-performance, and portable deployments.
Collaborated with product managers and DevOps teams to deliver end-to-end solutions aligned with enterprise objectives, created POCs, and technical architecture diagrams.
Principal Cloud Solutions Architect & Development Manager April 2023 – June 2024
Converge Technology Solutions Alpharetta, Ga
Delivered an 83% automation rate in ETL/migration processes using Azure OpenAI and generative orchestration.
Designed reusable components leveraging cutting-edge AI tooling like prompt optimization pipelines and reinforcement learning agents.
Architected LLM-powered AI agent networks (GPT-4, Claude, Grok, Gemini, Llama, Mistral) to enable cross-agent collaboration and autonomous task execution.
Created multi-agent AI systems that reduced onboarding and training inquiries by 48%.
Built self-optimizing LLMs and SLMs utilizing reinforcement learning to streamline long-running ETL workflows.
Advised C-suite on AI strategies aligned to key business outcomes, while shaping architecture vision and long-term strategy across teams.
Principal Software Engineer Jan 2021 – April 2023
OTR Solutions Roswell, Ga
Developed an Azure OCR-driven invoice pipeline, improving accuracy by 86.5%
Slashed invoice batch processing time from 20+ minutes to 8 seconds with parallel processing techniques.
Established coding standards and developed reusable libraries, enhancing development efficiency and reducing onboarding time for new developers by 70%.
Mentored cross-functional teams in scalable Software Engineering and Cloud Architecture practices, enhancing development standards and efficiency through modern software design patterns and principles.
Senior Software Engineer & Contracted Consultant April 2020 – December 2020
Georgia Pacific Atlanta, Ga
Optimized database performance by 247%, enhancing productivity for a global pulp/paper giant
Co-developed a SPA website to streamline shipping processes for lumber and paper products
Lead Architect Jan 2015 - March 2020
Griffin Solutions Group Alpharetta, Ga
Directed a multi-year transition to cloud infrastructure, enhancing scalability for enterprise solutions.
Spearheaded migration of on-premises systems to AWS, optimizing deployment processes.
Led development of an Android warehouse management system, boosting operational workflows.
Senior Software Engineer 2013 - 2015
Amazon: Fabric.com Kennesaw, Ga.
Led e-commerce development using AWS-native services for Amazon subsidiary.
EVP Software Development 2010 - 2018
Sirentec, LLC. Atlanta, Ga.
Architected a web-based Digital Forensics Web App, increasing court trial wins by 62%
Earlier Roles (2000 – 2011): Held senior developer/architecture roles at Scientific Games, US Army Reserves, RaceTrac, Sapient, etc.
Education
Computer Information Systems, Philosophy 1995-1999
●Valdosta State University Valdosta, Ga.
Affiliations and Clearances
●Top Secret (Level III) Clearance 2010-2011
●Association for Computing Machinery
Personal Projects: [GitHub].
NeuroForge – Cognitive AI Learning Platform
Designed, architected, and developed NeuroForge, a classified-level AI-driven learning platform dubbed the “Area 51 of education.” The system combines cognitive science, generative AI, real-time neural feedback, and AR quests to accelerate skill acquisition across age groups.
Built adaptive learning paths using graph theory and real-time performance data
Integrated OpenAI, Claude, Gemini, and Grok for multi-style AI tutoring and Socratic simulation
Engineered reinforcement-based chatbot trainers, biometric attention tracking, and EEG-ready neural state detectors
Implemented Next.js frontend with AR quests (WebXR + Three.js), haptic feedback, and multisensory learning
Created a real-time AI-enhanced spaced repetition system with RAG-generated quizzes and analogies
BrandGenie AI – Autonomous Branding Engine
Built BrandGenie AI, a fully autonomous platform that generates complete brand identities in minutes using advanced AI orchestration—bridging the gap between DIY tools and traditional agencies.
Created end-to-end branding pipeline: name, slogan, logo, color palette, and brand guide from a single business idea
Integrated GPT-4 and DALL·E 3 via Azure OpenAI to generate logos, taglines, and marketing copy
Engineered a custom SVG vectorization pipeline for high-fidelity, scalable logo output
Developed a modern UX using Next.js, Tailwind, and real-time asset preview flows
Deployed to Azure using serverless functions, secured authentication, and cloud-native infrastructure
Designed iterative feedback mechanisms for refining branding elements based on user input
AaaS (Agents as a Service) – AI Workflow Orchestration Engine
Designed and engineered AaaS, a containerized multi-agent AI platform for creating, orchestrating, and optimizing intelligent workflows using autonomous agents, modular tools, and real-time reasoning.
Built a hybrid workflow system supporting manual creation (drag-and-drop) and AI-assisted process generation from natural language prompts
Developed an intelligent Orchestrator that assigns tasks to agents based on capabilities, parallelizes independent steps, and dynamically routes tools (e.g., scrapers, translators, NLP-to-SQL)
Enabled fine-grained agent configuration via Supabase, supporting both foundation models and fine-tuned LLMs (e.g., task-specific SLMs)
Implemented full orchestration stack using Python (3.12.5), Docker, Redis, and gRPC for scalable agent-task coordination
Created a visual workflow builder in React Flow with real-time task visualization, status streaming, and agent-tool mapping
Integrated extensible Tooling architecture with Python scripts, API connectors, and ML-powered utilities
Architected core modules: Agent Manager, Model Manager, Tool Manager, and Workflow Editor with rollback, collaboration, and process versioning planned
Use cases: Automated research pipelines, AI content generation, customer support workflows, internal business ops automation, intelligent data prep
Manus Killswitch – Collaborative Multi-Agent, AI Agent Framework
Architected a multi-model agentic AI framework that unified proprietary and open-source LLMs (GPT-4.5, Claude 3.7, Grok 3, Gemini 2.5, Llama 2b, Mistral) to enable real-time cross-agent collaboration, autonomous reasoning, and orchestration—powered by a Redis/WebSocket-based engine for live debate, task execution, and distributed problem-solving.