Chris Love AI Systems Architect

Resume

Senior Solutions Architect

AI Systems Architecture Enterprise Platforms Technical Advisory

35+ years designing, building, and shipping production software across AI systems, SaaS platforms, enterprise applications, PWAs, workflow automation, distributed systems, and cloud-based platforms.

35+ Years Experience
14 Microsoft MVP Awards
5 Books Authored
100s Technical Talks
~1000 Projects Delivered

Professional Summary

Production Software, Practical AI, and Systems That Last

Chris Love is a senior solutions architect with 35+ years of software engineering experience spanning web platforms, distributed systems, enterprise-grade backend architecture, SaaS applications, and production AI integrations.

Over the past several years, his work has focused on designing and shipping LLM-integrated systems including AI workflow automation engines, retrieval-augmented generation pipelines, structured prompt architectures, structured outputs, and multi-agent orchestration frameworks.

He designs AI systems that are deterministic, auditable, cost-aware, and production-stable — not demo prototypes.

Core Competencies

Technical Expertise

Technical Advisory & Customer Engagement

  • Architecture workshops and technical discovery
  • Executive, product, and engineering roadmap presentations
  • Proof-of-concept systems and architecture reviews
  • Business-focused technical recommendations
  • Customer and product owner alignment

AI Systems & LLM Architecture

  • OpenAI API, structured outputs, function/tool calling
  • Retrieval-Augmented Generation pipelines
  • Multi-agent orchestration workflows
  • Prompt architecture and evaluation loops
  • Schema validation and hallucination mitigation
  • Vector databases and embedding strategies

Backend & Systems Architecture

  • Node.js / Express and .NET
  • PostgreSQL, MongoDB, SQL Server, MySQL / MariaDB
  • RESTful API design and webhook orchestration
  • Event-driven systems and background workers
  • Multi-tenant SaaS architecture
  • SLA engines and escalation workflows

Workflow Automation & Integrations

  • API-heavy platform integrations
  • CRM-style contact intelligence systems
  • Document generation and templating systems
  • Authentication and role-based access control
  • Stripe, Twilio, SendGrid, AWS SES, and third-party APIs

Infrastructure & Deployment

  • AWS Lambda, CloudFront, Route 53, ACM, Lightsail, S3
  • Observability and logging strategies
  • Cost-aware LLM deployment design
  • Secure data handling in healthcare and legal domains
  • Distributed systems thinking

Web & Product Development

  • Progressive Web Applications
  • Mobile-first UX and responsive architecture
  • Vanilla JavaScript, HTML, CSS, service workers
  • SEO-friendly application structure
  • Lean, maintainable product engineering

Selected Experience

Architecture & Product Work

A focused view of recent and representative systems from a much larger body of software delivery work.

LLM-Powered Knowledge Intelligence Platform

SharpAI

Lead Systems Architect / AI Systems Engineer

Case Study

Delivered a production-capable AI knowledge layer ready for member-facing deployment, including guardrails, structured output enforcement, semantic search, and cost-aware orchestration.

Key Contributions

  • Integrated 40,000+ embedded domain articles using Chroma vector storage.
  • Designed controlled prompt architecture for domain alignment and deterministic formatting.
  • Implemented structured JSON output validation with schema enforcement and retry logic.
  • Built OpenAI API integration, context injection, response parsing, and failure handling.
  • Engineered semantic search and relevance filtering pipelines.
  • Implemented logging and observability for token usage, failure cases, and output consistency.

Architecture Highlights

RAG-style architecture Vector embeddings Similarity search Structured outputs Context optimization API orchestration

AI-Powered Decision & Recommendation Engine

IntentLens

Lead Systems Architect / AI Systems Engineer

Case Study

Designed and implemented an AI-driven recommendation engine that transforms user intent and contextual inputs into personalized product insights and explainable decision support.

Key Contributions

  • Integrated OpenAI APIs and Amazon Product API into a recommendation workflow.
  • Designed structured prompt workflows to interpret user intent signals.
  • Implemented schema-based validation and controlled output formatting.
  • Combined deterministic filtering with LLM-based qualitative analysis.
  • Built structured output pipelines for automation, reporting, and dynamic UI rendering.
  • Optimized token usage and response latency for cost-aware deployment.

Architecture Highlights

OpenAI integration JSON schema validation Hybrid reasoning External APIs Data normalization Recommendation orchestration

Structured Extraction & Career Intelligence

Resume Parsing & Skills Gap Analysis Engine

AI Systems Architect / Full-Stack Engineer

Designed an AI-driven resume analysis engine that converts unstructured resumes into structured machine-readable profiles and generates career insights and skills gap recommendations.

Key Contributions

  • Parsed PDF, DOCX, and text resumes into structured JSON schemas.
  • Extracted skills, roles, seniority, industries, certifications, and tenure.
  • Normalized inconsistent formatting and ambiguous job titles.
  • Mapped extracted skills to standardized skill clusters.
  • Generated role-fit scoring, skill gap analysis, and resume improvement suggestions.
  • Designed extensibility for job description matching and interview preparation insights.

Technologies

OpenAI API GPT-4 structured outputs Node.js JSON Schema PostgreSQL Rule-based validation

Healthcare Operations & Reimbursement Workflow

Home Health Care Accountability Platform

Lead Systems Architect

Designed and led development of a healthcare operations and reimbursement platform serving home health providers operating under complex federal and state compliance requirements.

Key Contributions

  • Architected a multi-role platform for administrators, clinicians, billing teams, and compliance officers.
  • Designed data models for patient visits, reimbursement claims, audit trails, and documentation.
  • Built automated validation logic to reduce claim review errors.
  • Implemented RBAC and granular permissions for HIPAA-sensitive data.
  • Integrated secure document handling and workflow routing.
  • Developed dashboards for operational metrics, reimbursement forecasting, and compliance tracking.

Architecture & Stack

Node.js MariaDB REST APIs Secure document storage RBAC Audit logging

Clinical Trial Engagement & Compliance Workflow

Clinical Trial Patient Engagement Platform

Lead Systems Architect / Full-Stack Engineer

Architected and delivered a multi-role clinical trial engagement platform for onboarding, communication, visit tracking, and regulatory documentation workflows.

Key Contributions

  • Designed secure workflows for patients, coordinators, investigators, and administrators.
  • Modeled enrollment, visit schedules, consent documentation, and trial milestones.
  • Implemented automated workflow routing, reminders, and compliance-driven task sequencing.
  • Built reporting dashboards for engagement, retention, and protocol adherence.
  • Integrated secure messaging and notification systems.
  • Engineered audit logging and activity tracking for data traceability.

Architecture & Stack

Node.js MongoDB REST APIs RBAC Workflow automation Secure cloud deployment

Enterprise Fleet & Bulk Order Management

FleetOps

Senior Systems Architect / Lead Engineer

Case Study

Architected and led redevelopment of a mission-critical fleet and bulk order management platform for a major U.S. automotive distributor serving commercial and government buyers across multiple states.

Key Contributions

  • Designed a multi-role workflow system for sales, operations, finance, dealers, and managers.
  • Modeled complex state transitions for ordering, port processing, customization, delivery, and billing.
  • Integrated internal logistics systems and external vendor APIs.
  • Designed data models for bulk orders, vehicle packages, and compliance tracking.
  • Implemented audit logging and operational reporting.
  • Led UI/UX modernization and introduced modular service boundaries.

Impact

  • Centralized fragmented fleet operations into a single source of truth.
  • Reduced manual processing errors in bulk orders.
  • Improved operational visibility for regional and executive stakeholders.
  • Established a foundation for future integrations and automation.

Industry Leadership

Technical Evangelism & Authority

14-Time Microsoft MVP

Recognized for technical leadership, community contribution, and practical expertise in web architecture and systems design.

5 Software Development Books

Author of practical books covering ASP.NET, high-performance web applications, Progressive Web Apps, and AI-assisted development.

Hundreds of Technical Talks

Presented at conferences, user groups, workshops, and enterprise training events in the US, India, and beyond.

Courses, Workshops & Podcasts

Delivered developer education, PWA training, technical demonstrations, and podcast conversations on web and software leadership.

Technology Stack

Tools, Platforms & Patterns

AI / LLM

OpenAI API, structured outputs, embeddings, RAG, vector search, prompt workflows, schema validation

Backend

Node.js, Express, .NET, REST APIs, webhooks, background workers, service modules

Databases

MongoDB, PostgreSQL, SQL Server, MySQL, MariaDB, Chroma and vector databases

Cloud / Infrastructure

AWS, Lambda, S3, CloudFront, Route 53, ACM, Lightsail, logging and observability

Frontend

HTML, CSS, vanilla JavaScript, PWAs, service workers, responsive/mobile-first UX

Integrations

Stripe, Twilio, SendGrid, AWS SES, third-party APIs, affiliate APIs, webhooks

Education

North Carolina State University

M.S., Textile Engineering

North Carolina State University — 1996

Graduate research focused on statistical modeling and linear regression systems to predict industrial energy consumption and cost optimization in textile manufacturing environments.

B.S., Polymer Chemistry

North Carolina State University — 1994

Next Step

Interested in Discussing a Role or Project?

If you are hiring for a senior technical role, need architecture leadership, or want help building an AI, SaaS, enterprise, or PWA platform, I’d be glad to talk.