Available for Contract Work – Generative AI & Machine Learning
I’m Dr. Alan F. Castillo, a Generative AI Data Scientist and hands-on engineer available for C2C and 1099 contract engagements supporting enterprise and federal clients.
If you need an expert who can design, build, and operationalize real-world AI systems—not just slideware—I’d be glad to help.
How I Can Help
I specialize in end-to-end AI solution delivery, including:
- Retrieval-Augmented Generation (RAG) systems
- Hybrid search over documents, knowledge bases, and APIs
- Latency, accuracy, and safety optimization
- LLM application engineering & agents
- Task-oriented AI agents
- Evaluation, guardrails, and prompt engineering
- AWS & cloud-native AI platforms
- Amazon Bedrock, SageMaker, Lambda, Step Functions
- Secure architectures for enterprise and government workloads
- Databricks & data engineering for AI
- Delta Lake, feature engineering, ML pipelines
- ML Ops & productionization
- CI/CD for AI, monitoring, drift detection, and governance
If your team is planning, prototyping, or scaling AI initiatives, I can slot in as a senior IC, architect, or advisor.
Engagement Models (C2C / 1099)
I am currently open to:
- C2C contract work through my consulting company
- 1099 independent contractor engagements
- Part-time or fractional AI lead roles for startups and internal teams
- Short-term advisory (architecture reviews, roadmaps, PoC design)
Location:
- Based in Chandler, AZ (USA)
- Available for remote U.S. engagements
- Occasional on-site visits possible by arrangement
Typical Use Cases
Organizations engage me when they need to:
- Turn AI strategy decks into a realistic, prioritized delivery roadmap
- Build a first production RAG system over proprietary data
- Evaluate LLM vendors, AWS Bedrock options, or model choices
- Improve accuracy, latency, and cost of existing AI apps
- Stand up governed ML pipelines on AWS or Databricks
- Augment internal teams with an experienced AI engineer who “has done this before”
Tools, Platforms & Technologies
I work hands-on with:
- Languages: Python, SQL
- LLM / AI stack: RAG pipelines, vector databases, agents, evaluation frameworks
- Cloud & data: AWS (Bedrock, SageMaker, Lambda, Step Functions), Databricks, modern data lakes
- MLOps / DevOps: CI/CD, experiment tracking, monitoring, infrastructure as code
Credentials & Certifications
- Doctor of Management, Specialization in Information Systems Technology (DM/IST)
- AWS Certified Machine Learning Engineer – Associate
- AWS Certified AI Practitioner
- Databricks University Alliance – Credential
You can review my full resume, portfolio, and credentials on this site:
How to Engage
If you have a project or role in mind, the best next step is a short intro call.
- Use the Schedule a Call page to pick a time
- Or email via the Contact page with a short overview:
- Organization and industry
- Problem or opportunity you’d like help with
- Timeframe and expected duration
- Any constraints (security, cleared work, compliance, etc.)
I’m happy to give an honest assessment of whether I’m a good fit and propose a clear, outcome-oriented engagement plan.
If you’re looking for a Senior AI practitioner who can bridge strategy, architecture, and implementation—and you prefer C2C or 1099 flexibility—I’d be glad to talk.