Computer vision applications
Image data, annotation geometry, model-assisted workflows, training and evaluation. DataHub brings these concerns into a connected application.
See DataHubCompany / AlgoFly
Independent AI
engineering.
AlgoFly is built and run by Nitin Rai. Work directly with the engineer responsible for the applications, integrations, and deployment.
Scope, milestones and availability are agreed before work starts.
Nitin Rai
AI application developer
Engineering focus
From model behaviour
to working software.
The work connects data, models and the systems people use around them.
Video and edge systems
Python, OpenCV and DeepStream work spanning frame processing, inference pipelines and device-side applications.
Read the DeepStream wrapperSoftware around the model
Web interfaces, APIs, private connectivity and self-hosted deployment. The surrounding system is part of the engineering work.
See PortHubWorking together
A direct line to
the person building it.
AlgoFly currently has one engineer. Engagements are scoped to that delivery capacity, with a defined technical owner from the first discussion through handover.
Start with the problem, your existing systems and the result you need. Agree the scope, acceptance criteria and operating responsibilities before implementation. Larger engagements can be structured around a specific workstream alongside your team.
Discuss your requirementsBackground
Earlier experience.
SmartCow
AI Application Developer
Junior Machine Learning Engineer
Prizmatics
Computer Vision Intern
Source & ownership
Inspect the work.
Public repositories sit alongside private applications and personal projects. Each has its own deployment requirements and licensing.