Services

Specialized AI & ML Engineering

I don't build demos. I build systems that survive production — with real data, real scale, and real results.

Available for new projects
Response within 24 hours
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ML Model Development & Deployment

The problem

You have data but no way to turn it into decisions. Your team is guessing instead of predicting.

What I deliver

  • Data pipeline & feature engineering
  • Model training, evaluation & selection
  • REST API deployment (FastAPI + Docker)
  • Model monitoring & retraining setup
  • Full documentation & handover
Typical: 3–6 weeks
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RAG & LLM Application Development

The problem

You want AI on your own data — not a generic chatbot that hallucinates and ignores your documents.

What I deliver

  • Document ingestion pipeline (PDF, URL, DOCX)
  • Vector database setup (Pinecone / pgvector)
  • Retrieval-augmented generation system
  • LLM evaluation & accuracy benchmarking
  • Production API + frontend integration
Typical: 2–5 weeks
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MLOps Pipeline Setup

The problem

Your model works on your laptop but nobody can use it. Retraining is manual, deployment is scary.

What I deliver

  • CI/CD pipeline for model training
  • Experiment tracking with MLflow
  • Data versioning with DVC
  • Automated retraining triggers
  • Monitoring & drift detection
Typical: 2–4 weeks
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AI Agent Development

The problem

You want automation that actually does things — not a chatbot that just answers questions and does nothing.

What I deliver

  • LangGraph stateful agent architecture
  • Custom tool integrations (APIs, databases)
  • Multi-channel deployment (Web, WhatsApp, Slack)
  • Agent testing & evaluation framework
  • Production deployment + monitoring
Typical: 3–5 weeks
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Why Work With Me

Not a freelancer who disappears after delivery.

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Ships to Production

I've shipped ConnectXeo — a full SaaS product — to production. I know the difference between a notebook experiment and a system that runs at 2am.

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End-to-End Ownership

I handle the full stack — data, model, API, deployment, monitoring. You get one engineer who owns the entire pipeline.

Fast & Transparent

Weekly progress updates. Working demos at every milestone. No surprises, no excuses.

Common Questions

What's your typical project budget?

Projects range from $500 for scoped consulting to $5,000+ for full end-to-end ML systems. I'll give you a fixed quote after understanding your requirements — no hourly billing surprises.

How long does a project take?

Most projects take 2–6 weeks depending on scope. I'll give you a clear timeline upfront and stick to it.

Do you work with non-technical clients?

Yes. I translate complex ML concepts into business outcomes. You don't need to know what a transformer is — you need to know what problem it solves.

Can you work with our existing team?

Absolutely. I've worked as both a solo contractor and embedded within engineering teams. I adapt to your workflow (Slack, GitHub, Jira — whatever you use).

What if I just need advice, not a full build?

I offer consulting calls for technical architecture reviews, ML strategy, and team guidance. Reach out via the contact form.

Have a project in mind?

Tell me what you're building and I'll tell you exactly how I can help.

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