Live Production Demos:

• Vercel RAG Demo — Full-stack chatbot with semantic search. Next.js 16, React 19, OpenAI GPT-4o, Neon PostgreSQL (pgvector). Sub-second streaming responses.
• Cloudflare Workers RAG Demo — Edge-deployed RAG with on-device LLM inference (Llama-3.1-8B). Zero external API calls, optimized for global latency.

Research & Evaluation:

• RAG Quality Evaluation Lab — Jupyter-based experimentation framework with custom metrics. Achieved +15% precision improvement through systematic testing.

Evidence:

• ~5,000+ lines of production-quality Python and TypeScript
• Two live, public demos with real user traffic
• Custom evaluation framework with measurable improvements

Production-Ready RAG Systems — Not tutorials. Production systems with sub-second latency, multi-LLM architectures (OpenAI, Anthropic, Llama), vector database design (pgvector, Cloudflare Vectorize, Pinecone), and advanced retrieval patterns (reranking, query expansion, hybrid search, semantic chunking).

Evaluation Rigor That Drives Improvement — Custom evaluation frameworks built from first principles with ground-truth dataset curation, retrieval metrics (Precision@K, Recall, MRR), generation metrics (relevance, hallucination detection), and ranking metrics (NDCG). Proven results: +15% precision, +22% overall quality.

Full-Stack Integration — React/Next.js frontends with streaming UX, edge deployment for global latency, authentication and rate limiting, cost optimization strategies, observability and monitoring, security considerations for user data and prompt injection.

Agentic Development Expertise — Evaluated 6+ agentic coding tools (Claude Code, Kiro, Copilot). Demonstrated 2-3x development velocity through tool mastery and context engineering patterns.

I Ship — My RAG demos run in production with real users. I deploy to multiple platforms, implement authentication, handle errors gracefully, and optimize for cost.

I Measure — Ground-truth evaluation, not hunches. When I say "+15% precision improvement," I mean I curated test datasets, measured baseline performance, implemented changes, and validated results.

I Understand Infrastructure — 10+ years of observability and on-call for revenue-critical systems informs every architectural decision. I know what breaks at scale, what costs spiral, and what keeps you up at 3 AM.

I Move Fast — Prototype fast, iterate based on feedback, and ship incremental improvements without rewriting everything. "Thinnest Viable Platform" methodology leveraging agentic development tools for rapid deployment.

Proven Cost Reduction:

• 25% AWS infrastructure cost reduction at ShareASale while maintaining 99.95%+ uptime
• 50% DataDog observability cost reduction while improving signal-to-noise ratio
• $20,000+ monthly sustained savings through data-driven optimization
• 90%+ cost reduction for AI workloads through edge computing (demo)

Recent Experience:

• Built production RAG applications on Cloudflare Workers demonstrating edge computing capabilities
• Zero-downtime AWS migration for platform processing $1B+ annual transactions
• Improved incident response despite reduced observability data volume

Method: Data-driven analysis, incremental changes, continuous measurement—not "slash and hope."

Cloud Cost Optimization Assessment — Deep-dive analysis identifying 20-40% cost reduction opportunities: oversized resources, idle instances, inefficient storage, network waste, reserved instance gaps, architectural inefficiencies.

Observability & Logging Strategy — Cost-effective observability improving signal while reducing cost. Log filtering, sampling strategies, metric optimization, alert tuning, custom dashboards. 50% DataDog cost reduction proven.

Edge Computing & Modern Architecture — Evaluate Cloudflare Workers, edge caching, edge compute, serverless at edge. Recent experience: 90%+ cost reduction vs. traditional cloud with sub-100ms global latency.

AI & LLM Cost Optimization — Control unpredictable AI costs through model selection, prompt engineering, caching, edge inference, batch processing, request throttling. Built evaluation frameworks measuring quality vs. cost tradeoffs.

Cloud Governance & Security — Establish robust framework with security policies (IAM, least privilege), compliance controls (SOC 2, GDPR, PCI-DSS), cost controls, tagging strategy, automated enforcement.

Proven Results, Not Promises — Delivered actual cost reductions in production: 25% AWS reduction while improving reliability, 50% DataDog reduction while improving observability, zero customer impact, sustained savings over years.

Data-Driven Approach — Don't make recommendations based on hunches. Detailed usage analysis, business impact assessment for every change, A/B testing for performance-sensitive optimizations, continuous measurement.

Holistic Perspective — Cost optimization isn't just spending less. Maintain or improve performance, reliability, security, developer experience, and scalability. Solutions that work at current and future scale.

Recent Technology Experience — Current with modern cloud patterns: edge computing (Cloudflare Workers), serverless (Lambda, Workers), containers (Docker, ECS), Infrastructure as Code (Terraform), modern observability (DataDog, CloudWatch).

Zero-Downtime AWS Migration:

• Migrated ShareASale platform to AWS without impacting $1B+ annual transaction volume
• Zero customer-facing downtime during migration
• 25% cost reduction through architecture optimization
• 24-minute disaster recovery capability demonstrated

Platform Consolidation (Post-Acquisition):

• Multi-year incremental migration integrating 4 acquired companies (ShareASale, affilinet, zanox, awin)
• 99.5% revenue protection during consolidation
• 99.95%+ uptime maintained throughout transformations
• Migrated 260K users with 85% terms acceptance on first login

AI-Augmented Modernization:

• 2-3x development velocity through mastery of agentic coding tools (Claude Code, GitHub Copilot, Kiro)
• 4-6x acceleration on refactoring through AI assistance
• Systematic modernization with AI as force multiplier

Legacy System Assessment & Modernization Roadmap — Comprehensive assessment analyzing code quality, architecture, technology stack, performance, security, team capability, business impact. Deliverable: detailed modernization roadmap with actionable steps, timeline estimates, multiple paths, risk mitigation, success metrics.

Cloud Migration (AWS) — Zero-downtime migrations with proven strategies: lift-and-shift, lift-and-refactor, hybrid approach, parallel run. Infrastructure provisioning, data migration with validation, network configuration, monitoring setup, disaster recovery. Proven track record with $1B+ platforms.

Monolith to Microservices Decomposition — Strategic decomposition using domain-driven design (DDD) identifying service boundaries. Strangler fig pattern for gradual extraction without rewrites. API design, data strategy, testing strategy, deployment automation. AI advantage: identify coupling patterns faster, generate API contracts.

Technology Stack Upgrade & Refactoring — Incremental migration: ColdFusion → Node.js/Python, Legacy .NET → Modern .NET, Older Java → Modern Java/Kotlin, Monolithic Frontend → React/Vue/Svelte. Test-driven refactoring, feature parity first, parallel operation, rollback plans. AI-augmented: 4-6x refactoring acceleration, automated test generation.

AI Integration into Legacy Systems — Surgical integration without architectural upheaval. API gateway, event-driven, sidecar patterns. Features: semantic search, natural language interfaces, intelligent automation, predictive analytics, chatbots. Recent portfolio: production RAG systems across multiple platforms.

25+ Years of Experience — Modernized systems since the browser wars: ColdFusion, classic ASP, PHP 4, monoliths to microservices, cloud migrations protecting billions in transactions, decades of technical debt refactored.

Proven Track Record — ShareASale Platform (17+ years): zero-downtime cloud migration, monolith-to-microservices, multi-year platform consolidation (4 companies), legacy ColdFusion → Node.js/C#, 99.95%+ uptime maintained throughout.

Pragmatic & Business-Focused — Technology is means to an end. Don't modernize for modernization's sake—focus on business value. Incremental beats big bang—deliver value continuously, reduce risk. Protect the business—zero downtime isn't negotiable. Transfer knowledge—your team maintains it.

Modern Development Practices — Current with contemporary approaches: Agentic Coding (2-3x velocity through AI tool mastery), Infrastructure as Code (Terraform, Ansible, GitOps), DevSecOps (security built in), Observability (DataDog, CloudWatch), AI Integration (production RAG systems, LLM APIs).

17 Years at ShareASale/Awin Global:

• 250,000+ publishers (affiliates) and 10,000+ merchants (advertisers)
• $1B+ annual transaction volume processed
• 250M+ monthly tracking requests at scale
• Led platform through acquisition and multi-year consolidation integrating 4 separate platforms

Current Engagement:

• Fractional CTO | Stealth MarTech Startup (2024-Present) — Shipped beta product to early customers. Architecture decisions, infrastructure strategy, code review, team enablement.

Track Record:

• Built one of the largest affiliate platforms serving hundreds of thousands of users
• Zero-downtime AWS migration for revenue-critical infrastructure
• Platform consolidations protecting 99.5% of revenue
• Tracking integration redesign: 75% error rate reduction, 263ms latency improvement

Affiliate & Partner Marketing Platform Development — Scalable tracking infrastructure (millions of requests/day), multi-touch attribution, cross-device/channel tracking, cookieless strategies, GDPR/CCPA compliance, e-commerce integrations (Shopify, Magento, BigCommerce), payment processing, commission calculation engines.

AI-Powered MarTech Innovation — Intelligent attribution with ML, predictive conversion scoring, fraud detection, content & campaign optimization with AI-generated suggestions, automated A/B testing, partner intelligence (performance scoring, churn prediction), natural language interfaces. Recent portfolio: 4 production RAG systems.

AdTech & Campaign Management Systems — Ad servers with RTB integrations, impression tracking, campaign creation workflows, A/B testing infrastructure, budget pacing, video advertising infrastructure, player integration.

MarTech Platform Modernization — Zero-downtime migration strategies, microservices decomposition, cloud migration (AWS), API-first architecture, real-time data processing, modern observability, CI/CD automation, Infrastructure as Code.

Deep MarTech Domain Knowledge — 25+ years in marketing technology gives insights competitors don't have. What works and breaks at scale, integration pitfalls, fraud patterns, payment compliance, publisher and merchant expectations.

Full-Stack Capability — Built everything from tracking pixels to payment systems. Frontend UX, backend APIs, transaction processing, CMS, CRM, database design (massive SQL expertise), infrastructure, third-party integrations, compliant email marketing systems.

Revenue Focus — Every click and conversion counts. Design systems that are: Reliable (99.95%+ uptime), Accurate (precise attribution, correct commissions), Secure (financial data protection, fraud prevention), Scalable (handle growth), Observable (know when something breaks).

AI + MarTech Combination — Unique combination of deep MarTech domain expertise (25 years), production AI implementation capability, AWS AI Practitioner certification, understanding when AI adds value vs. hype.

Current Engagement:

• Fractional CTO for Stealth MarTech Startup (2024-Present) — Shipped beta product to early customers with positive feedback. Providing architecture decisions, code & design review, infrastructure guidance, and team enablement.

Background:

• 17+ Years | ShareASale/Awin Global — Principal Software Engineer/Architect leading teams through acquisitions, platform consolidations, and cloud migrations. Scaled engineering team 8 → 25+ engineers.
• AI Engineering Portfolio — 2 live demos (Vercel, Cloudflare Workers) demonstrating hands-on capability alongside strategic thinking.

Evidence:

• Active fractional CTO engagement with 2x weekly meetings plus async guidance
• Recent hands-on work shipping production AI systems
• Led technical teams through multiple acquisitions and transformations

Fractional CTO / Interim Technical Leadership — Experienced technical leadership on fractional or interim basis with technology roadmapping, architectural decisions, team management, technical strategy, and stakeholder communication. Typical engagement: 10-20 hours/week, 3-12 months.

Engineering Team Building & Mentoring — Team structure design, role definitions, hiring process design, onboarding programs, 1-on-1 mentoring for leadership transitions, technical career ladder development. Grew ShareASale team from 8 to 25+ engineers.

Digital Transformation & Change Management — Lead technology and process modernization initiatives. Served as AI Ambassador achieving 200%+ velocity improvement, AI governance framework, developer productivity programs with measurable impact.

M&A Technical Due Diligence & Integration — Evaluate acquisitions and plan technical integration. Led multi-year platform consolidation integrating 4 companies, protected 99.5% of revenue, zero customer-facing downtime.

Strategic Systems Thinker, Hands-On Executor — Not just advising from sidelines. Current fractional CTO engagement has me in the code, reviewing PRs, making architectural decisions. Recent AI portfolio demonstrates I can ship production systems, not just talk strategy.

Breadth of Experience — 20+ years across high-scale SaaS platforms (250M+ monthly requests), revenue-critical systems ($1B+ annual transactions), multiple acquisitions, team growth, and technology transformations.

Crisis-Tested — When things break at 3 AM, you need someone who stays calm and executes. 24-minute data center disaster recovery, critical production incidents, acquisition-driven consolidations under tight deadlines.

Current & Relevant — Fractional CTO work and recent AI portfolio keep me current with modern development: agentic tools (Claude Code, Copilot), edge computing (Cloudflare Workers), modern frameworks (Next.js 16, React 19), AI patterns (RAG, streaming, evaluation).