hi, i’m orisa novahi, i’m orisa nova

About me

I design, train, and deploy AI models that turn data into real-world decisions — from computer vision to large-scale machine learning systems.

My journeyMy journey

Experience

Building the backbone of modern AI—delivering production-grade systems with mathematical rigor and operational excellence

Since 2012

Artificial intelligence and Big Data expert

Orisa Studio®

Jan 2022 — Present

From Design Studio to Digital Agency

As demand grew, so did our expertise. We expanded into UI/UX, web development, and digital strategy — building cross-functional teams to deliver end-to-end solutions.

June 2019 — Dec 2021

Building Long-Term Partnerships

We began working with scaling businesses and established brands, focusing on long-term collaboration instead of one-off projects. Our process matured, and our impact became measurable.

2024 — Designing for the Future

Innovation, Scale, and What’s Next

Today, we continue to evolve — embracing new technologies, smarter workflows, and future-ready design systems. Our journey is ongoing, and we’re just getting started.

2025+ — Beyond Boundaries

The Next Chapter

With a global mindset and a passion for innovation, we’re shaping what’s next in digital experiences — together with ambitious partners around the world.

Step by stepStep by step

My Process

I integrate deep architectural research, rigorous data strategy, and production engineering to build resilient AI systems.

01. System Audit & Discovery

2–3 Weeks Mapping the infrastructure

I begin with an in-depth audit of your data landscape, current infrastructure, and core business objectives. This foundational phase identifies technical constraints and sets the architectural direction for the project.

02. Architectural Strategy

3–4 WeeksDefining the AI logic

Together, we develop a comprehensive technical roadmap. I design the neural architecture and data flow, establishing clear performance benchmarks—such as latency thresholds and accuracy targets—required for success.

03. Engineering & Deployment

8–12 WeeksBuilding production-ready models

The development phase moves through focused sprints of training, fine-tuning, and rigorous testing. I transform theoretical designs into scalable, production-grade AI models integrated into your live environment.

04. MLOps & Evolution

OngoingContinuous optimization

Post-deployment, I implement continuous monitoring and MLOps pipelines to prevent model drift. We constantly measure and refine the system, ensuring the AI remains accurate and scalable as your data demands evolve.