AI MVPs and internal tools
From idea to working product: agent workflows, copilots, chat interfaces, dashboards, and automation tools for startups and solo founders.
Services
Freelance AI engineer for products that need working systems, not demos
I help founders and teams build AI features that ship: production NLP pipelines, computer vision systems, generative AI workflows, and agent-based products with strong backend foundations.
What I can build
NLP and text classification systems
Spam detection, moderation, labeling pipelines, document understanding, retrieval workflows, and evaluation loops for language-heavy products.
Computer vision applications
Segmentation, captioning, image understanding, and model serving for products that need practical vision features, not just demos.
Generative AI workflows
Prompt systems, LoRA fine-tuning, model integration, secure inference APIs, and production-ready user flows around modern image and language models.
How I work
I scope fast, validate assumptions early, and build around the real bottleneck: data quality, inference reliability, tooling ergonomics, or delivery speed.
Best fit
Teams that need a technical builder who can move from model logic to APIs, UI, infrastructure, and product decisions without losing the plot.
Engagements
Ideal for freelance builds, prototypes that need hardening, and AI features where speed matters but quality still has to hold up.
Recent work areas
Recent portfolio work includes autonomous agent marketplaces, secure model-serving flows, prompt-improvement systems, adversarial ML demos, FLUX training experiments, and browser-first tooling for local AI model compatibility. That mix is useful when a project sits between machine learning, product UX, and engineering constraints.
If you need someone who can reason about ML systems end to end and still ship the product surface around them, this is the kind of work I like most.