Technical depth
across model, platform, and product.
End-to-end execution across model engineering, platform architecture, and production operations. Every engagement carries clear milestones, measurable quality gates, and complete operational handoff.
Fine-tuning & evaluation engineering.
We design and execute supervised fine-tuning workflows that produce measurable improvements in model quality, latency, and cost efficiency. Our approach pairs rigorous dataset curation with systematic evaluation — every iteration is comparable against a clear baseline.
Across the full spectrum
of modern AI development.
From model training to edge deployment, we deliver across the layers that matter — with the operational rigor that keeps systems dependable after launch.
Reliability, maintainability,
integration quality.
AI does not exist in isolation. A fine-tuned model is only as valuable as the system that serves it, monitors it, and iterates on it. We deliver model quality alongside platform reliability and operational clarity.
We bring practical execution across Python and TypeScript services, containerized deployments, API-driven integrations, and data-centric workflows. The result is delivery that is technically credible at design time and operationally stable after launch.
As a fully remote consultancy, we work inside your tools and workflows — understanding existing codebases, aligning with team conventions, and shipping production-ready code with ongoing support available.
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P.01
Production reliability
Proper error handling, graceful degradation, health checks, and operational runbooks. Code that works in a notebook is not code that works at 3 AM.
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P.02
Measurable outcomes
Success metrics defined upfront — accuracy targets, latency SLOs, throughput — and tracked transparently against milestones.
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P.03
Complete handoff
Documentation, knowledge transfer, and code that follows your team's conventions. Systems your engineers can maintain and extend independently.
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P.04
Security first
Identity boundaries, secrets management, API authentication, and audit trails — designed in, not bolted on.
Hands-on across the tools
that power modern systems.
Languages
- Python
- TypeScript / JS
- Go
- Rust
- SQL
AI & ML
- PyTorch · Hugging Face
- LangChain · LlamaIndex
- OpenAI · Anthropic APIs
- OpenCV · YOLO · spaCy
- ONNX · TensorRT
Infrastructure
- Docker & Compose
- Kubernetes
- Caddy · Nginx
- Linux Admin
- CI / CD · MLflow · W&B
Data & Storage
- PostgreSQL
- Redis
- Qdrant · Vector
- ClickHouse
- S3 · Object
Observability
- Prometheus
- Grafana
- OpenTelemetry
- Langfuse
- Structured Logs
Ready to
build? Share
your constraints.
Tell us about your architecture, constraints, and goals. We'll scope a technical engagement that fits — from a two-week evaluation to a multi-month platform build.