Services

Custom Models & Hosted Fine-Tuning

Ship tailored models, run managed distillation pipelines, or commission complete ML systems—powered end-to-end by the NexaCompute infrastructure.

What I Deliver

I help teams ship custom models and ML experiences without inheriting infrastructure overhead. Every engagement runs on NexaCompute—my reproducible, cost-aware ML lab—so you gain the outputs without worrying about the plumbing.

Custom Models

Bespoke language and multimodal models tuned to your domain.

  • Model scoping, evaluation harnesses, and deployment playbooks.
  • Domain-specific data curation with rigorous quality gates.
  • Inference-ready endpoints or artifacts you can host internally.

Hosted Fine-Tuning & Distillation

Managed fine-tuning pipelines that stay reproducible end-to-end.

  • Teacher-student distillation, LoRA/QLoRA, and PEFT strategies.
  • Telemetry, manifests, and cost tracking for every run.
  • Secure, provider-agnostic execution across Lambda, CoreWeave, RunPod, AWS, and more.

Custom Solutions & Tooling

Full-stack ML systems, dashboards, and automation tailored to your workflows.

  • Evaluation dashboards, Streamlit apps, and guardrail interfaces.
  • Batch or realtime inference pipelines with ops documentation.
  • Operator playbooks, handover sessions, and ongoing advisory.

Powered by NexaCompute

NexaCompute handles the data preparation, distillation, distributed training, evaluation, dashboards, and cost telemetry behind the scenes. You get durable artifacts and clear provenance while the compute layer remains disposable.

Want the full blueprint? Explore the NexaCompute architecture for module breakdowns, manifests, and pipeline details.

Request a Build

Share a bit about your workload and I’ll follow up with an execution plan, timelines, and recommended infrastructure footprint.