Software that thinks.
From models to production.
I build AI and ML systems that work in the real world — from predictive models and intelligent automation to LLM applications. Engineered for reliability, cost, and scale.
Many moving parts.
One coherent system.
SERVICES
Engineering that spans
the full stack
From ML models to production infrastructure. I build systems designed for real constraints—not demos.
Machine Learning & Analytics
Predictive models that drive decisions — forecasting, classification, recommendations, anomaly detection.
LLM Applications & Agents
Chatbots, RAG systems, agent workflows, and AI-powered features built on foundation models.
Data Engineering & Pipelines
ETL workflows, data lakes, feature stores, and the infrastructure that feeds your models.
Cloud Architecture & Backend
Scalable APIs, serverless patterns, CI/CD, and production infrastructure on AWS.
Intelligent Automation
Workflow automation, business process AI, and channel integrations that reduce manual work.
Full-stack Development
End-to-end product development — from database to UI — when AI is just one piece of the puzzle.
Not sure where to start?
Start with an Architecture Review (2 hours). Leave with a written plan.
CASE STUDIES
Real systems, real outcomes
Production systems I've designed and delivered.
Lina
WhatsApp Lead Routing + Media AI
PROBLEM
A fashion retailer needed intelligent lead routing across 13 store locations, B2B wholesale, and e-commerce—plus handling images and voice in real conversations.
SOLUTION
Built an AI assistant that routes leads to the correct WhatsApp channel, identifies fabrics from photos, and handles voice interactions.
OUTCOMES
WHAT I DELIVERED
Talboost
AI-Powered Recruitment Platform
PROBLEM
A recruitment startup needed AI-driven workflows for candidate screening, feedback generation, and role-based portal management.
SOLUTION
Designed product architecture with AI feedback loops, scalable candidate flows, and intelligent scoring systems.
OUTCOMES
WHAT I DELIVERED
Skillful AI
Agent Platform & Workflow Engine
PROBLEM
Building a platform that combines agents, workflows, integrations, and measurable outcomes for diverse business use cases.
SOLUTION
Created a platform approach with standardized agent templates, tool calling patterns, memory design, and comprehensive observability.
OUTCOMES
WHAT I DELIVERED
Want this for your business?
Book time
Founder
Skillful AI
ABOUT
Emanuel Hernández Castillo
I build AI systems that behave reliably under real-world constraints: tool failures, messy data, latency, and cost ceilings. As founder of Skillful AI and a senior AI/software architect, I've shipped production systems across sales automation, recruitment, and enterprise operations.
Projects across LATAM, US, and EU
HOW I WORK
A clear path from idea to production
Reduce uncertainty with a structured process designed for AI systems.
Discovery & Constraints
Goal, users, channels, data, latency/cost constraints, risk
Architecture & Plan
System design, tool contracts, data flows, roadmap, acceptance criteria
Implementation
Build, integrate, instrument, test for failures and edge cases
Launch & Iterate
Monitoring, evals, cost controls, continuous improvements
PRICING
Clear, decisive pricing
Pick the option that fits your timeline and scope.
$200/hr Consulting
Get unstuck today. Leave with a plan and next actions.
BEST FOR
Architecture review, debugging, design decisions, fast implementation sessions
INCLUDES
- Session notes
- Action plan
- Follow-up support via email
50-Hour Block
Ship a full feature with priority support and dedicated focus.
BEST FOR
Building a full feature, shipping to production, or iterative sprints
INCLUDES
- Priority scheduling
- Async support
- Weekly syncs
- Documentation
Requires qualification via discovery call
Free Discovery
Answer a few questions to qualify, then book 15 minutes.
BEST FOR
Qualifying fit and clarifying scope before committing
INCLUDES
- Scope assessment
- Fit evaluation
- Recommended next steps
FREE DISCOVERY
Let's talk about your project
Fill out this form to qualify for a free 15-minute discovery call.
FAQs
Common questions
Projects where software meets intelligence — ML models, data pipelines, LLM applications, automation, or traditional backend/full-stack work. I focus on systems that need to work reliably in production under real constraints.
Yes. I often work embedded with engineering teams—pairing on architecture, reviewing PRs, and unblocking technical decisions. I can also work independently and deliver complete features.
Yes, NDAs are available on request. I handle sensitive projects across industries and understand confidentiality requirements.
Session notes documenting what we covered, decisions made, and an action plan for next steps. For implementation sessions, you get working code and any relevant documentation.
Both. I can advise on architecture and review existing systems, or I can implement complete features from design through deployment. The 50-hour block is ideal for end-to-end delivery.
Python for ML and backends (FastAPI, scikit-learn, PyTorch), AWS for infrastructure, and modern AI tooling. I also work with Next.js/React, PostgreSQL, Redis, and various data tools depending on the project.
We define scope upfront and document acceptance criteria. For hourly work, changes are straightforward—we adjust as needed. For blocks, we maintain a backlog and reprioritize together during weekly syncs.
I'll tell you directly and recommend next steps or refer you to someone better suited. The discovery call exists to ensure we're aligned before any commitment.
Ready to ship?
Book paid time for immediate progress, or start with a free discovery call if you're not sure about scope.