Four environments, from enterprise AI systems to physical sensing and product delivery.
Banca Mediolanum
Lead developer, as an intern, for internal AI agent and prompt-governance platforms; own backend, frontend, data workflows, evaluation, deployment, and stakeholder requirements.
Python / SQL / Azure Databricks / Unity Catalog / Delta Lake / Databricks AI Search
Boston University College of Engineering
Built a single-camera rowing biomechanics pipeline spanning stabilization, MMPose 2D keypoints, and MotionBERT 3D lifting.
Python / MMPose / MotionBERT / OpenCV / NumPy / Pandas
Società Cappelletto S.R.L.
Rebuilt an Electron inventory application with Tauri, React, and Rust, reducing app size by 70%, memory use by 80%, and startup time by 60%.
Rust / Tauri / React / TypeScript / Firebase / Shopify GraphQL
TickIT
Worked across Next.js and TypeScript interfaces plus Rails and PostgreSQL backend features as part of a four-developer remote event-ticketing team.
Next.js / TypeScript / React / Rails / PostgreSQL / PostGIS
A governed enterprise AI copilot that turns natural-language questions into scoped, traceable answers across approved CRM and document sources.
An inspectable research system that learns a stroke-level force representation from synchronized video and RP3 telemetry, then packages the same kinematic contract for video-only inference.
An end-to-end tabletop-cleaning robot that turns touchless edge sensing into a fitted workspace, a safe coverage plan, and measurable motor commands.
A Tauri desktop workflow that resolves exact SKUs across two locations, decrements one available unit through Shopify, records an app-owned audit log, and exposes bounded recovery paths.
A full-stack event platform spanning public discovery, ticket commerce, QR access control, organizer operations, and analytics.
A multimodal notes-to-LaTeX pipeline that streams Gemini-generated structure into a styled template, compiles it through configured HTTP backends, and returns PDF plus source.
Studies on robust learning, from noisy motion embeddings to biologically inspired adaptability.
Contextual Similarity selected
System view / research question
Pose → context → retrievalA retrieval-first study of whether contextual metric learning can preserve motion similarity when joints jitter, disappear, or frames drop.
Read proposal
A literature-based examination of systematic compositionality, continual learning, adaptive plasticity, and the limits of biomimetic AI.
Read paperRowing Biomechanics / 2026-05-18
Computer Vision / 2026-04-27
Machine Learning / 2026-03-14
Summer 2027 software and AI opportunities
