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Gregorius Willson

ML Systems Engineer · Quantitative Developer · Product Builder

I build measurable AI infrastructure, quantitative research systems, and products that make complex models useful.

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Selected systems

Speculative OCR decoding for Apple Silicon. An MLX toolkit for DeepSeek-OCR-2, GLM-OCR, and Unlimited-OCR with training-free and neural draft modes, benchmarking, a Python API, and an OpenAI-compatible server.

Python MLX Vision-Language Models Speculative Decoding


A production research terminal for Indonesian equities. Connects IDX data pipelines, technical and fundamental analysis, broker-flow research, screeners, portfolio tooling, paper trading, and AI-assisted workflows.

Live product · Google Play

Next.js TypeScript PostgreSQL Quantitative Finance


An earthquake-survival simulation that teaches through physical interaction. A two-minute Swift Playground combining SpriteKit physics, motion controls, procedural audio, seismic haptics, accessible feedback, and a scored debrief.

SwiftUI SpriteKit Core Haptics Core Motion


Constraint-solved diagrams from olympiad geometry statements. Converts text into a GeometryIR, solves supported constraints with SciPy, emits standalone TikZ, and reports whether the result is exact or a schematic fallback.

Python SciPy TikZ Constraint Solving


A browser laboratory for machine-learning intuition. Makes optimization, clustering, dimensionality reduction, and decision boundaries directly manipulable through real-time visual experiments.

Live lab · Source

React TypeScript Data Visualization Interactive Learning


Laundry Management System

Offline-first operations software built around a real Indonesian laundry workflow. Covers receipts, server-verified pricing, ESC/POS printing, scheduled reporting, audit history, and tool-constrained AI analysis. Source is private.

NestJS Prisma React SQLite Claude


Engineering toolbox

Core skills

Area Technologies
ML systems MLX, PyTorch, transformers, ONNX, TensorFlow Lite, local inference, evaluation
Quant and data pandas, time-series modeling, automated ETL, backtesting, portfolio analytics
Product engineering TypeScript, React, Next.js, SwiftUI, Flutter, PostgreSQL, Playwright

Selected recognition

  • Komodo Math Competition: 1st internationally in the Dragon category among 1,100+ participants from 65 countries.
  • Stanford Math Tournament: Distinguished Honorable Mention in Calculus among 1,700+ participants.
  • BRICS Industrial Innovation Contest: Top 10 in Green Industry among 100+ teams.

GitHub at a glance

Gregorius Willson's GitHub statistics Most used languages


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