Senior AI Engineer
Neural Dynamics|Jan 2022 — Present|Architecting distributed training systems and leading the deployment of production-grade LLM pipelines.
Hi, 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.
See my work
My journey
Experience
Building the backbone of modern AI—delivering production-grade systems with mathematical rigor and operational excellence
ML Infrastructure Engineer
DataScale Labs|June 2019 — Dec 2021|Optimized large-scale data ingestion and automated MLOps workflows for high-frequency trading models.
Computer Vision Researcher
Visionary Tech|Jan 2017 — May 2019|Developed state-of-the-art object detection algorithms for autonomous drone navigation and edge computing.
Junior Data Scientist
Insight Corp|Jan 2015 — Dec 2016|Built predictive analytics dashboards and performed feature engineering on multi-terabyte datasets.
Data Analyst Intern
Quantum Analytics|June 2012 — Dec 2014|Assisted in statistical modeling and data cleaning for large-scale consumer behavior studies.
Step by step
My Process
I integrate deep architectural research, rigorous data strategy, and production engineering to build resilient AI systems.
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.
Architectural Strategy
3-4 Weeks|Defining 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.
Engineering & Deployment
8-12 Weeks|Building 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.
MLOps & Evolution
Ongoing|Continuous 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.
TESTIMONIALS
What Clients Say
Hear from the partners who trust my work.
Years of Practice, Hundreds of Deployments, and Satisfied Partners
Models in Production
Daily Inferences
Latency Optimization
Data Orchestrated
System Uptime
Image mosaic
my skills
Tech Stack / Tools
I fuse scalable AI architecture, data-driven strategy, and real-world deployment expertise to build reliable intelligent systems.
Languages
Frameworks
Data
MLOps
Cloud
FAQ
Frequently Asked
Frequently Asked
Questions
Common questions about my services and process.