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.
Experience
Building the backbone of modern AI—delivering production-grade systems with mathematical rigor and operational excellence
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Jan 2022 — Present
Senior AI Engineer [ Neural Dynamics ]
Architecting distributed training systems and leading the deployment of production-grade LLM pipelines.
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June 2019 — Dec 2021
ML Infrastructure Engineer [ DataScale Labs ]
Optimized large-scale data ingestion and automated MLOps workflows for high-frequency trading models.
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Jan 2017 — May 2019
Computer Vision Researcher [ Visionary Tech ]
Developed state-of-the-art object detection algorithms for autonomous drone navigation and edge computing.
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Jan 2015 — Dec 2016
Junior Data Scientist [ Insight Corp ]
Built predictive analytics dashboards and performed feature engineering on multi-terabyte datasets.
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June 2012 — Dec 2014
Data Analyst Intern [ Quantum Analytics ]
Assisted in statistical modeling and data cleaning for large-scale consumer behavior studies.
My Process
I integrate deep architectural research, rigorous data strategy, and production engineering to build resilient AI systems.
01. System Audit & Discovery
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
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
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
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.
205 North Michigan Avenue,
Suite 810, Chicago, 60601, USA
What Clients Say
Hear from the partners who trust my work.
" "Our collaboration with the team has been instrumental in optimizing our project management processes"
" "Our collaboration with the team has been instrumental in optimizing our project management processes"
" "Our collaboration with the team has been instrumental in optimizing our project management processes"
" "Our collaboration with the team has been instrumental in optimizing our project management processes"
" "Our collaboration with the team has been instrumental in optimizing our project management processes"
" "Our collaboration with the team has been instrumental in optimizing our project management processes""
Years of Practice, Hundreds of Deployments, and Satisfied Partners
+
Models in Production
$ M+
Daily Inferences
%
Latency Optimization
TB
Data Orchestrated
.9%
System Uptime
Tech Stack / Tools
I fuse scalable AI architecture, data-driven strategy, and real-world deployment expertise to build reliable intelligent systems.
Languages
Python
C++
JavaScript
Frameworks
PyTorch
TensorFlow
Scikit-learn
Data
Pandas
NumPy
Spark
MLOps
Docker
Kubernetes
MLflow
Cloud
AWS
GCP
Azure
Frequently Asked
Questions
Common questions about my services and process.
Orisa is a full-service creative agency offering UI/UX design, brand identity, web development, digital marketing, motion graphics, and content strategy. We work with startups, SMEs, and enterprise brands worldwide.
Getting started is simple. Reach out via our Contact page or email us at hello@orisa.com. We'll schedule a discovery call to understand your goals, timeline, and budget before proposing a tailored solution.
We work with clients across a wide range of industries including technology, fashion, healthcare, fintech, hospitality, e-commerce, and more. Our adaptable creative process means we can deliver results for any sector.
Project timelines vary depending on scope and complexity. A brand identity project typically takes 3-6 weeks, while a full website design and development can range from 6-12 weeks. We'll give you a detailed timeline during the proposal phase.