Warm architectural rendering of a complex structure built from technical plans.

Available for long-term collaborations

Data Scientist & AI Engineer

I turn complex operational inputs into clear, production-ready AI systems—from agents and computer vision to document intelligence and workflow interfaces.

Built for real operations: technical documents, video, plans, APIs, and the people who use them.

Focused offerControlled AI Workflow DiagnosticAssess one document or plan workflow in 10 business days before committing to a pilot.Explore the diagnostic

I turn operational inputs—floorplans, documents, video, and workflows—into usable AI products, decisions, reports, and tools.

01 / Selected work

Case studies built for operational workflows.

A focused selection of projects where I turned manual, document-heavy, and plan-heavy operations into reliable internal products.

+ More projects

Depth across AI, product, and technical systems.

Confidentiality / Sensitive client details are anonymized. Project descriptions focus on workflows, architecture, and outcomes.

02 / Expertise

Applied AI expertise, built for delivery.

Core capabilities I use in long-term collaborations to ship business-ready systems.

01

AI Engineering

AI AgentsRAG pipelinesLLM applicationsWorkflow automationProduction APIs
02

Data Science

Data processingModel trainingEvaluationFeature iterationBusiness-oriented experimentation
03

Construction / BTP

FloorplansPlan verificationConstruction documentsComputer Vision pipelinesStandards automation
04

FullStack Delivery

PythonFastAPITypeScriptNext.jsTailwindPostgreSQLAWS (EC2, Lambda, SageMaker)

03 / How I work

Structured execution from business need to reliable delivery.

I integrate with small engineering teams (5–10 devs) and build incrementally with clear validation loops.

  1. Step 01

    Frame the business workflow and target outcome

  2. Step 02

    Break down features and dependency tree

  3. Step 03

    Validate scope and priorities with the team

  4. Step 04

    Build a functional MVP

  5. Step 05

    Iterate feature by feature on real usage

  6. Step 06

    Stabilize, scale, and transfer to internal operations

05 / About

Data Scientist & AI Engineer focused on long-term impact.

I build AI systems that reduce operational time and make complex workflows easier to run.

I hold an engineering degree specialized in Data & Artificial Intelligence, with 7 years in software development, 3 years in Data Science, and 1.5 years as a freelancer.

At BTP Consultants, I work as an Expert Data Scientist and built end-to-end Computer Vision pipelines (collection, dataset, training, inference), RAG architectures for large documents, and APIs for floorplan interaction (polygon detection, measurements, standards verification).

I also built AI Agents interacting directly with floorplans, helping reduce verification time by 80%.

I’m known for fast adaptability across stacks, strong product sense, and a calm collaboration style focused on business outcomes.

7 yearssoftware development
80%time reduction on plan checks
Long-termcollaboration preference

06 / Contact

Let’s build a long-term AI collaboration.

I’m open to long-term missions in AI Agents, Computer Vision, Data Science, and workflow automation.

In your first message, include your company name, business context, objective, and expected timeline.