ERNEST/ HAYFORD

AI Agent SystemsGTM AutomationWorkflow OrchestrationLLM Evaluation

Full-Stack · AI · GTM Engineer

AI-native automations · Revenue infrastructure · Production platforms across marketing, sales, ops & fintech

View full résumé for metrics & history ↗

Interface

Composable UIs, design systems, and micro-frontend surfaces

VueNuxtReactSvelte

Services

APIs, event-driven workflows, and distributed backends

Node.jsTypeScriptGraphQLHono

Data

Schema design, caching layers, and data integrity at scale

PostgreSQLMongoDBRedisDrizzle

Cloud & Edge

Serverless, observability, and global delivery infrastructure

AWSCloudflareKubernetesServerless
01

Overview

AI SystemsGTM AutomationFull-Stack

8+ years shipping full-stack products and AI systems that multiply team output. Sole architect of HustleSasa platform ($50K→$900K+/mo payments). I design GTM automations, agent workflows, and internal tools that give departments 5–10× leverage — engineered systems with eval gates and production reliability, not chatbots bolted on the side.

Architecture

From AI agent pipelines and GTM automations to Vue, React, and Svelte frontends, serverless backends, and edge deployments. I build systems that scale across every layer — commercial and technical.

AI & GTM Systems

Agent workflows, enrichment pipelines, and cross-department automations that wire CRMs, outbound tools, and LLMs into one revenue engine with guardrails and measurable outcomes.

Microservices

Decompose monoliths into independently deployable services with clear domain boundaries, resilient communication, and observable pipelines.

Serverless

Event-driven, pay-per-use architectures on AWS and edge runtimes, from API gateways to background workers with zero idle cost.

Micro-Frontends

Module federation and independent frontend teams shipping Vue, React, and Svelte apps that compose into a unified product surface.

Edge / Cloud

Global delivery via Cloudflare Workers, CDN caching, and cloud-native infra with low latency from browser to database.

03

Experience

Lead Full-Stack Engineer @ HustleSasa

  • Architect and maintain more than 5 core backend services and micro-frontend surfaces powering fintech infrastructure
  • Scaled transaction volume of 1M+ transactions / month (18× growth)
  • Achieved 99%+ uptime across production services
  • Reduced API latency by 65% through query optimization and caching
  • Led micro-frontend migration with module federation, increasing deploy frequency by 300%

AI Operator Consultant @ Invisible Technologies

  • Design and implement LLM evaluation frameworks for production AI systems
  • Build quality assurance pipelines for model output validation
  • Architect agent workflows with eval gates for reliable GTM and ops automation

Senior Software Engineer @ Simple Dealer

  • Built Autofill Engine processing 1,000+ transactions/minute
  • Achieved 97% test coverage across core services
  • Designed high-throughput automotive data ingestion pipelines
  • Delivered full-stack features across Vue frontends and Node.js/Rust backends

Technical Lead @ Agro Innova

  • Led engineering team through product pivot and platform consolidation
  • Defined technical roadmap and architecture for agritech products

Full Stack Engineer @ Agro Innova

  • Built USSD platform for farmer engagement at scale
  • Developed Akoko Market marketplace and Farm Business School (FBS)
  • Implemented Bulk SMS notification system for agricultural outreach

Freelance Software Engineer @ Independent

  • Deliver full-stack and AI automation solutions for startups and SMEs across West Africa
  • Build GTM systems, internal tools, and department workflows that multiply team output
  • Specialized in API design, agent orchestration, cloud infrastructure, and payment integrations

Projects

HMS

Full-stack hospital management system for clinics in Ghana: patient registration, OPD triage, billing, and role-based access

Vue 3HonoPostgreSQLDrizzleBetter AuthCloudflare R2

Standalone Autofill Engine

High-performance automotive data autofill engine rewritten in Rust

Rust

Agent Revenue Pipeline

Consulting GTM system: Clay enrichment and signal triggers feed n8n orchestration and HubSpot CRM, with LLM agents handling lead research, personalized outbound, and inbound routing — eval gates before anything reaches a prospect.

Clayn8nMakeHubSpotPythonTypeScriptLLM APIs

My Approval

Serverless platform for automating approval and workflow routing across departments

NuxtServerlessAWS
Visit ↗

Hami Express

GraphQL library for building schema-first APIs with minimal boilerplate

GraphQLNode.jsTypeScript
Repository ↗

SST Deploy

GitHub Action for deploying SST applications to AWS with zero config

GitHub ActionsSSTAWS
Repository ↗

Stack

AI & Automation

  • AI Engineering
  • GTM Engineering
  • Agent Orchestration
  • LLM Evaluation
  • Workflow Automation
  • Prompt Engineering

GTM Stack

  • Clay
  • n8n
  • Make
  • HubSpot

Languages & Frameworks

  • TypeScript
  • Node.js
  • Rust
  • Python
  • Mojo
  • Vue
  • Nuxt
  • React
  • Svelte
  • Hono
  • Express

Cloud & Infrastructure

  • AWS
  • Kubernetes
  • Docker
  • Serverless
  • SST
  • Cloudflare
  • Edge Computing

Databases & Caching

  • PostgreSQL
  • MongoDB
  • Redis
  • DynamoDB

Architecture & Patterns

  • Microservices
  • Micro-Frontends
  • Module Federation
  • Event-Driven
  • Serverless
  • Distributed Systems
  • GraphQL

Practices & Domains

  • Fintech
  • GTM Systems
  • AI Engineering
  • CI/CD
  • Test-Driven Development
  • Payment Infrastructure
06

Polyglot

TypeScript is home base, but I reach into other languages when the problem demands a different shape: memory safety, numeric performance, or AI-native tooling.

TypeScript

Production

Home base for full-stack delivery: typed Vue/React frontends, Node services, shared contracts, and the layer where most production systems are designed and shipped.

Rust

Experimenting

Hands-on experimentation with systems programming: memory safety, concurrency, and performance patterns before committing them to production paths.

Python

Active, when needed

Heavy use when the problem calls for it: AI agent pipelines, GTM automations, data scripting, and fast backend prototyping — the default reach for LLM-powered systems.

Mojo

Exploring

Early exploration for machine learning workloads: Python-like ergonomics with a path toward bare-metal performance for model-centric systems.

GTM Engineering

RevenueAutomationScale

Revenue infrastructure, not more headcount

GTM engineering is where commercial instinct meets code. I build the automated systems behind outbound, inbound routing, CRM enrichment, approval workflows, and cross-department ops — wired with LLMs and APIs so marketing, sales, and operations run faster without hiring linearly.

Cross-department automation

Marketing, sales, CS, finance, HR — any team with repetitive workflows gets custom tooling. I map the bottleneck and ship the system, not a one-size template.

AI-native GTM plays

Lead research, personalization, enrichment cascades, and signal-triggered outbound — encoded as agent workflows with eval gates, not one-off prompts.

Revenue stack integration

CRM, enrichment, outbound, analytics, internal APIs — composed into one pipeline. Data flows in, qualified action flows out.

5–10× operational leverage

Replace weeks of manual work with autonomous workflows. Outcomes: hours saved, pipeline velocity, conversion lift — engineered, measured, iterated.

AI Engineering

ModelsMechanicsMastery

AI engineer, not AI user

I do not sprinkle GPT calls on features. I engineer AI systems: agent orchestration, evaluation frameworks, inference pipelines, and the reliability layer that turns demos into production. Current work includes LLM eval and QA at Invisible Technologies — the same rigor I bring to client automations.

Agent orchestration

Multi-step LLM workflows for research, enrichment, routing, and follow-up — with tool use, guardrails, and human handoff when confidence is low.

Evaluation & benchmarking

Designing rigorous eval frameworks for LLM outputs: quality scoring, regression detection, and production safety gates before anything ships.

Inference engineering

Latency, context windows, batching, and deployment patterns for making models fast, observable, and dependable in real products.

Model mechanics

Transformers, attention, embeddings, and how architecture choices shape capability and cost — so production systems are designed with limits in mind.

Life

Engineering is the craft, but balance keeps the edge sharp. Competitive games, pitch time, and the occasional jog keep me grounded outside the terminal.

Gaming

Apex Legends

Fast-paced BR: movement mechanics and team coordination.

FIFA

Football on the couch: tactics, seasons, and the occasional rage quit.

Rainbow Six Siege

Tactical FPS: map knowledge, operator synergy, and clutch rounds.

Fitness & Outdoors

Swimming

Laps for clarity: low-impact cardio and a reset from the screen.

Football

Pickup matches with friends, the real kind, on grass.

Basketball

Casual runs and shoot-arounds: competition without the league fees.

Jogging

Early morning or evening runs to clear the head and stay sharp.

Build Revenue Systems

Open to AI engineering, GTM automation consulting, fractional GTM engineering, and senior full-stack platform work.

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© 2026 Ernest Hayford · Accra, Ghana