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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLO

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coderback/README.md

Timothy Oluwatobi Ojebiyi

CS Graduate · Software Engineer · Aspiring ML Researcher

Open to ML engineer, Software engineer and Quant developer roles

Portfolio · LinkedIn · ORCID · Email

Computer Science graduate from UWE Bristol (AI/ML specialisation) and founder of Rootlayer. I build and ship ML systems, implement papers, test their claims, and decide how a result will be judged before I see it: pre-registered hypotheses, leakage checks, and baselines a model has to beat.

Research

News Timing Cannot Explain It: A Pre-Registered Replication of Zhang (2025)
Working paper, 2026 · DOI 10.5281/zenodo.24087562 · code + paper
A published FinBERT + XGBoost strategy reported Sharpe ratios of 4.6–5.9. In a pre-registered replication, none of 18 variants beats random-sign trading after costs.

Fair on Paper: What a Prop-Firm Challenge Is Worth, and Who Pays for It
Working paper, 2026 · DOI 10.5281/zenodo.23374897 · reproduction package
Prices a published contract on 20 years of intraday data, with 24 pre-registered hypotheses and the buyer's optimal policy found by backward induction.

Built

  • Rootlayer: founder of an agentic web-compliance SaaS that audits sites for WCAG 2.2 AA accessibility and GDPR/EAA privacy
  • Tubesense (live demo · repo): places Tube trains to a median of ~2 m from phone sensors alone, then an agent drafts a cited evidence pack that a verifier checks. Encode London Hackathon 2026
  • Thespis (live demo · repo): NPCs with memory and beliefs that can be false, for game developers. Cambridge × Arcade AI Hackathon 2026
  • Unsaid (repo): semantic detection of risk disclosures removed from 10-K filings. It flagged hedging language Silicon Valley Bank dropped 14 days before it collapsed

Currently

  • GBE: a graph embedding engine for financial-crime and risk modelling (GNNs, leakage-tested pipelines)
  • Member of the Cohere Labs Open Science Community

Interests

Graph neural networks · ML interpretability · generative models · agent memory · evaluating ML in finance honestly

Tools

ML: Python · PyTorch · PyTorch Geometric · scikit-learn · XGBoost · Hugging Face · LaTeX
Engineering: TypeScript · React / Next.js · FastAPI · Django · PostgreSQL · Docker · C++

Pinned Loading

  1. ControlNet-Implementation ControlNet-Implementation Public

    From-scratch, parity-verified ControlNet (Stable Diffusion v1.5) with end-to-end training, inference, and evaluation on COCO Canny conditioning.

    Jupyter Notebook

  2. fifa-wc2026-prediction-model fifa-wc2026-prediction-model Public

    Probabilistic 2026 FIFA World Cup forecasting engine using Elo + Dixon–Coles goals modeling, gradient-boosted ensemble blending, and 50k-run Monte Carlo simulation with rigorous walk-forward/backte…

    Jupyter Notebook

  3. Unsaid Unsaid Public

    AI 10-K disclosure diffing: compares Item 1A/7A across years and surfaces REMOVED, SOFTENED, and NEW risk language using semantic alignment + LLM judgment.

    TypeScript

  4. prop-challenge-pricing prop-challenge-pricing Public

    Reproduction package for 'Fair on Paper: What a Prop-Firm Challenge Is Worth, and Who Pays for It' (Ojebiyi, 2026)

    Python

  5. Tubesense Tubesense Public

    AI agent that turns ordinary Tube rides recorded on a phone into a privacy-safe, section-by-section noise map of the London Underground, locating the train without GPS. Gemini 4 Argon checks TfL's …

    Python

  6. zhang2025-replication zhang2025-replication Public

    Pre-registered replication of Zhang (2025), arXiv 2505.16136: FinBERT + GDELT + XGBoost macro alpha (not replicated)

    Python