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Software Engineering Solutions Architect

Location:
Marietta, GA
Salary:
$260,000
Posted:
April 17, 2025

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Resume:

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.



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