Software & AI

Custom software, applied AI/ML, data and document automation, chatbots and integrations — scoped to the problem, not to a technology.

What I build

Custom software: Software built for the workflow you actually have, not a generic off-the-shelf template.
Applied AI/ML: Machine learning and AI applied to a real business problem — not a proof-of-concept that never ships.
Data & document automation: Extraction, classification and pipelines that turn messy documents and data into structured, usable output.
Chatbots & assistants: Conversational tools scoped to a specific task, not a general-purpose chatbot bolted onto a website.
Integrations: Connecting the systems you already run so data moves without manual re-entry.

1: Discovery
You get a written scope and a clear picture of the problem — before any code is written.
2: Prototype
You get something working you can actually use, not a slide deck.
3: Deliver
You get a deployed system with a proper handover — documentation, access, and a plan for what's next.

Languages & runtimes: Python, TypeScript/JavaScript, Node.js — day-to-day tools for backend services, data pipelines and applied ML.
ML & data: PyTorch, scikit-learn, LLM-based extraction and retrieval — from classical ML to document AI.
Platforms & infrastructure: Cloud deployment, containers, CI/CD, relational and vector datastores — shipping and operating what gets built, not just prototyping it.
Hardware-adjacent: Embedded and electronics diagnostics, component-level repair, audio signal chains — the same rigor applied to physical systems as to software.