Startups validating a CV product
Founders who need a credible prototype, technical direction, and honest feasibility decisions before investing in a bigger build.
Currently available for freelance and consulting
Computer
Vision
Engineer
I build practical computer vision systems with a focus on real-world use and deployment.
Available for prototype builds, CV system debugging, model optimization, and focused consulting on real-world deployment decisions.
Open to select freelance projects
PROTOTYPE
Focused prototype builds for applied AI and computer vision
EDGE
Deployment-aware optimization and runtime decision support
SHIP
Clear scoping, practical tradeoffs, and production-minded builds
Who I help
Best fit for teams that need
applied AI shipped clearly
I work best where there is a real operational problem, a defined outcome, and a need for practical technical judgment rather than generic AI experimentation.
Teams testing computer vision workflows
Teams testing whether applied computer vision can solve a clearly defined workflow problem in a reliable way.
AI teams needing a focused builder
Teams that already know the problem and need someone to quickly own a prototype, benchmark models, or improve edge deployment performance.
Founders testing a narrow use case
Best for scoped engagements where success means one prototype, one workflow, one deployment path, or one optimization problem solved well.
Approach
How I think
about the work
My freelance journey is new. My technical experience is not. Here's what stays constant regardless.
01
Honest Scope
I won't pretend freelance history I don't have. My experience is real and built through hands-on company work — I'm transparent about the difference.
02
Production Mindset
I think beyond the demo. Data quality, inference speed, deployment constraints — I care about whether the system will hold up in actual use.
03
Direct Ownership
You work with the builder, not a handoff chain. From problem framing to execution — clear updates, practical tradeoffs, real decisions.
04
Focused Fit
Best for prototyping, model optimization, debugging, edge deployment, and custom CV or GenAI prototypes with clearly defined goals.
Services
What I can
help you build
I'm most useful as a technically strong individual contributor for a clearly defined AI task, prototype, or improvement project.
01
Computer Vision Systems
End-to-end detection, segmentation, keypoint, classification, and tracking pipelines for applied vision systems. Dataset curation, training, and evaluation included.
02
Edge AI & Optimization
Export, runtime, and hardware-specific optimization to make practical CV models faster and deployable. Benchmarking and profiling included.
03
GenAI Prototypes
Rapid prototyping of generative AI systems with a focus on practical workflows, multimodal reasoning, and clearly defined outcomes.
04
Applied AI Prototyping
Turning unclear requirements into experiments, hardware choices, and realistic deployment paths. Discovery → scoping → working prototype.
How I work
A simple delivery rhythm
that keeps scope grounded
The process stays lightweight: understand the real constraint, build something useful fast, and leave you with a practical path forward.
Discovery
We define the use case, constraints, success criteria, and whether the problem is actually a good fit for computer vision or multimodal AI.
Prototype
I build a focused proof of concept with the shortest path to learning: model choice, dataset assumptions, evaluation, and clear tradeoffs.
Deployment support
If the prototype is viable, I help translate it into a practical deployment path with optimization, runtime choices, and realistic next steps.
Background
Applied AI experience,
kept intentionally general
This section summarizes the kind of technical work I bring into engagements without sharing confidential employer or client material.
Computer Vision Engineer
- Built and iterated on detection, segmentation, keypoint, classification, and tracking pipelines for real-world use cases.
- Worked across dataset preparation, evaluation, debugging, model selection, and deployment-aware optimization.
- Scoped practical proofs of concept with attention to constraints, feasibility, and next-step decision making.
- Prefer clear success criteria, honest tradeoffs, and systems that can survive outside a demo environment.
AI Training Intern
- Built classification, detection, and segmentation models with TensorFlow, PyTorch, and scikit-learn.
- Created defect-detection demos and document-processing prototypes for rapid experimentation.
- Implemented OpenCV-based modules for frame-wise inference, motion detection, and object tracking.
Focus Areas
The kinds of problems
I can help solve
These are representative capability areas, intentionally described at a general level rather than tied to confidential project work.
Capability area
Camera-to-Decision Pipelines
End-to-end systems that move from image input through inference, post-processing, and business-ready outputs.
A good fit when success depends on the whole workflow, not only the model checkpoint.
GitHub · ChessSense-AI
Capability area
Edge and Runtime Optimization
Improving inference speed, export paths, and runtime behavior so models work better on the hardware you actually have.
Best for teams that already have a model and need help making it faster, lighter, or more deployable.
Performance · Deployment support
Capability area
Validation and Technical Scoping
Turning ambiguous ideas into a practical first experiment, sensible evaluation plan, and a realistic next step.
This is usually the highest-leverage point early on: better scoping, fewer bad assumptions, and faster learning.
Consulting · Feasibility work
Why work with me
Direct collaboration,
practical decisions
I approach each engagement simply: be clear, choose a practical scope, and deliver work that helps you move forward.
"You won't be hiring an agency. You'll be working directly with the engineer building the solution."
I don't overpromise. I prefer understanding the real use case, identifying risks early, building the right proof of concept, and optimizing only where it matters.
If we work together, you can expect direct communication, technical ownership, and an engineer who cares whether the system is usable — not just impressive in isolation.
Current Positioning
I am opening selective availability for freelance collaborations focused on applied computer vision and scoped AI builds.
Before We Work Together
My resume is currently being updated after a recent role transition. This site is the best current summary of my work, strengths, and freelance direction.
Best Fit Engagements
Prototypes, model debugging, optimization, edge deployment support, and applied CV builds with clear goals and realistic timelines.
Contact
Have a project?
Let's talk scope.
Best fit for focused freelance work: prototypes, model debugging, optimization, edge deployment, and applied CV with clear goals.
