AI & Machine Learning

Need AI that actually works in production? I build ML systems that scale from model training to deployment pipelines. PyTorch, TensorFlow, LLM integration with LangChain. Your AI problem, solved and deployed.

PyTorch • TensorFlow • LLMs • MLOps
service PyTorch

AI & Machine Learning

Need AI that actually works in production? I build ML systems that scale from model training to deployment pipelines. PyTorch, TensorFlow, LLM integration with LangChain. Your AI problem, solved and deployed.

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What you get

Clear outcomes, the right guardrails, and async updates while we work.

PyTorchTensorFlowLLMsMLOps

Availability: 1–2 concurrent builds max.

Timeframe: Typical engagement 6–10 weeks.

Collaboration: Weekly demos, shared roadmap, <24h async response.

Delivery Layers AI & Machine Learning

How we break down the work so you stay unblocked at every phase.

Discovery & planning

Collaborative sessions to map scope, pick success metrics, and define the delivery cadence.

Sprint-based delivery

Two-week sprints with demos, docs, and async updates visible to the whole team.

Go-live support

Handover docs, playbooks, and support windows so there is no cliff after deployment.

FAQs

What do you build? +

Web3, AI, Systems, Web. End-to-end. One person. From idea to deployed.

Do you do consultancy? +

Yes. Architecture, stack selection, code reviews. Hourly or contract. Get unstuck fast.

How fast can you deliver? +

Fast. I focus on going live. Less bureaucracy, more shipping. Let's discuss timeline.

One person for everything? +

Yes. Frontend, backend, infrastructure, deployment. Complete systems. End-to-end.