Selected engineering experience.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Physical environments needed to become measurable digital assets, captured with ordinary devices rather than specialised rigs.

System

A capture-to-reconstruction pipeline turning images and depth data into usable 3D representations.

Engineering approach

Photogrammetry combined with LiDAR depth and learned refinement, with processing split into asynchronous stages so heavy work never blocked the client application.

Technical challenge

Inconsistent capture conditions: lighting, motion, incomplete coverage and noisy depth all degrade reconstruction quality, so the pipeline had to fail gracefully and guide better capture.

João’s contribution

End-to-end engineering of the processing pipeline and its integration with the product.

Intended functionality

Real-world spaces and objects become digital references teams can inspect, measure and reuse.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Professionals needed to show a plausible visual outcome of a localized procedure before it happened.

System

A vision system that identifies facial regions and sub-regions and manipulates them in a controlled, reversible way.

Engineering approach

Region detection and segmentation feeding parametric manipulation, so each change stays bounded to an anatomically meaningful area instead of a generic filter.

Technical challenge

Believability: the simulation must respect identity and anatomy, and small artefacts destroy trust instantly.

João’s contribution

Computer vision pipeline and simulation logic.

Intended functionality

A conversation between professional and client based on something visual rather than verbal description.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Routine operational requests arrived through messaging and required manual handling.

System

A conversational agent that understands intent and executes real actions inside the company's systems.

Engineering approach

Tool calling connecting conversations to scheduling, confirmations, payment links and external API actions.

Technical challenge

Reliability under ambiguity — an agent that acts must know when it is not confident enough to act.

João’s contribution

Agent architecture, tool layer and integrations.

Intended functionality

Operational requests are resolved conversationally, with humans handling exceptions instead of routine.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Negotiation decisions were made intuitively, without a consistent way to evaluate alternatives and concessions.

System

A specialized AI system grounded in established negotiation frameworks such as BATNA.

Engineering approach

Domain reasoning encoded as explicit structure — alternatives, reservation values, concession paths — with the model reasoning inside that frame rather than free-forming advice.

Technical challenge

Keeping the system grounded: generic language models drift toward agreeable answers, which is the opposite of useful negotiation support.

João’s contribution

System design, reasoning structure and evaluation.

Intended functionality

Negotiation preparation becomes analytical and repeatable instead of improvised.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Critical business information was locked inside documents, handwriting and specialized records.

System

An extraction and understanding pipeline that turns documents into structured, verifiable data.

Engineering approach

OCR combined with multimodal understanding and schema-constrained extraction, plus confidence scoring so low-certainty fields route to human review.

Technical challenge

Handwriting, scans and non-standard layouts break naive extraction; the system needed to degrade into review rather than into wrong data.

João’s contribution

Pipeline architecture, extraction logic and review workflow.

Intended functionality

Documents stop being an archive and become an operational data source.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Live audiences needed to participate in a shared stream with responsive interactions.

System

A real-time platform with live interaction, in-stream games and continuously updated rankings.

Engineering approach

Backend and real-time interaction systems connecting streaming, games and live rankings.

Technical challenge

Concurrency peaks are instant, not gradual — the system had to hold its behaviour when everyone acts at the same second.

João’s contribution

Real-time backend and interaction systems.

Intended functionality

Live audiences participate instead of only watching.

Founder experience · Deployment status and publication scope to be confirmed for this example.

Problem

Price and availability information changes locally and constantly, and no single source keeps up with it.

System

A crowdsourced, location-aware platform that collects, validates and surfaces retail data.

Engineering approach

Mobile capture feeding a geospatial data model, with contribution scoring and validation rules to keep crowdsourced input trustworthy.

Technical challenge

Data quality is the product: without validation, crowdsourced information becomes noise very quickly.

João’s contribution

Backend, data model, geolocation and mobile integration.

Intended functionality

Local commercial reality becomes visible and queryable in near real time.