Skip to content
View Tomashcv's full-sized avatar

Block or report Tomashcv

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Tomashcv/README.md

Tomás Vitorino

Computer Engineering student at FEUP with a strong practical focus on Python, machine learning, data engineering and quantitative research.

I enjoy building end-to-end technical systems, from data acquisition and validation to modelling, experimentation and reproducible evaluation.

Selected Projects

RSNA Knee 2026 - Multimodal MRI Abnormality Detection

Geometry-aware medical-imaging research pipeline for 4,407 knee MRI studies and 12 diagnostic targets, including DICOM geometry, malformed-image handling, GPU preprocessing and deterministic study-level representations.

Public technical showcase: github.com/Tomashcv/RSNAKnee2026-Showcase

Trading Execution & Recovery Platform

Paper/demo-first deterministic execution engine with durable state, broker reconciliation, duplicate prevention and crash recovery.

Nasdaq-100 Futures Data & Research Platform

Fail-closed market-data acquisition and causal research platform for 12.3M+ audited NQ/MNQ futures records.

Economic Geometry Research

Reproducible research into multidimensional purchasing power, survey-weighted economic coordinates and empirical state geometry.

Pulse

TypeScript/React Native sports social platform with Expo, Supabase, PostgreSQL, RLS/RPC boundaries and an append-only virtual ledger.

Football Market Research

Leakage-aware football market research with point-in-time features, nested temporal validation, market baselines and paper-only tracking.

Technologies

Python · pandas · NumPy · SQL · Machine Learning · XGBoost · PyArrow · Parquet
Git · Linux · Testing · REST APIs · Java · C · C++ · TypeScript

Current

BSc in Informatics and Computing Engineering @ FEUP
Porto, Portugal
Seeking a 2026/27 curricular internship

LinkedIn: linkedin.com/in/tomas-vitorino

Pinned Loading

  1. RSNAKnee2026-Showcase RSNAKnee2026-Showcase Public

    Technical showcase of a reproducible multimodal knee MRI pipeline: DICOM geometry, preprocessing, GPU encoding and validation.

  2. NasdaqFuturesResearch NasdaqFuturesResearch Public

    Fail-closed market-data acquisition, canonicalization and causal research platform for CME NQ/MNQ futures.

    Python

  3. TradingExecutionPlatform TradingExecutionPlatform Public

    Paper-first deterministic trading execution engine with durable state, reconciliation, duplicate prevention and crash recovery.

    Python

  4. EconomicGeometryResearch EconomicGeometryResearch Public

    Reproducible research into multidimensional purchasing power, survey-weighted economic coordinates and empirical state geometry.

    Python

  5. Pulse Pulse Public

    TypeScript/React Native sports social platform with Expo, Supabase, RLS, RPC contracts and a transactional virtual-coin ledger.

    PLpgSQL

  6. FootballMarketResearch FootballMarketResearch Public

    Leakage-aware football market research with point-in-time features, nested validation, market baselines and paper-only tracking.

    Python