// YVES_DONATO
[ Identity_Init ] Toronto_Node Status: Active_Research

YVES DONATO

Software developer and AI researcher optimizing how LLMs reason, evaluate, and ship in real systems.

Computer Science fifth-year at Sheridan College with published research, early-industry internships, and a heavy bias toward infrastructure, evaluation pipelines, and ambitious side projects that actually get deployed.

> Stack: Python, Rust, TypeScript > Focus: LLM Evaluation + Infra > Mode: Build / Research / Ship
Portrait of Yves Donato
Operator Visual Data
Work History // Log EMPLOYMENT
JAN 2026 - PRESENT

BearHacks

Software Engineer

  • :: Collaborated with a 40+ person organizing team to scope and ship updates on tight event deadlines.
  • :: Built a Next.js + Tailwind CSS networking web app for a targeted 200+ attendee hackathon.
  • :: Built a secure API routed through Cloudflare Tunnels to a self-hosted Proxmox server.
WINTER 2020

Reliq Health

Software Development Intern

  • :: Refactored 1,000+ lines of healthcare web app code.
  • :: Supported production systems used in remote patient monitoring.
FALL 2019

Weever Apps

QA Intern

  • :: Authored 100+ bug reports and validation notes.
  • :: Produced Confluence documentation for internal QA workflows.
Academic Data EDU

Honours Bachelor of Computer Science

Sheridan College

Expected Fall 2026

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Computer Programming Diploma

Sheridan College

Spring 2023

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SHSM Computer Science

St. Mary Catholic Secondary School

Summer 2021

Large Language Model Research
Infrastructure + Systems Engineering
[ Research_Core ]

Chain-of-Thought Prompting vs Reasoning LLMs

Current thesis work quantifying internal reasoning mechanisms by benchmarking Chain-of-Thought prompting against native reasoning models on SWE-Bench and AIME 2025, using a high-throughput Rust/Python evaluation pipeline.

REASONING_EFFICIENCY 98.2%
TOKEN_REDUCTION 42.0%
PIPELINE_AUTOMATION 91.4%
Rust Pipeline Python Eval SWE-Bench AIME 2025 Statistical Analytics

Project Archives

TOTAL: 04 FEATURED
BUILD_MATRIX // PRISMARINE
PIPELINE_READY // TRUE
DEPLOYMENT_STATUS // STABLE
ARTIFACTS // VERIFIED
5TH PLACE // CTRL+HACK+DEL
PRISMARINE

Interactive research exploration platform that turns paper collections into a 3D similarity graph with resilient paper aggregation, embedding-based linking, narration, and self-hosted deployment.

ReactThree.jsFastAPISemantic ScholarElevenLabsCoolify
BUILD_MATRIX // NEURIZZ
PIPELINE_READY // TRUE
DEPLOYMENT_STATUS // STABLE
ARTIFACTS // VERIFIED
2X CATEGORY WINNER // HACKVILLE
NEURIZZ

Real-time social simulation platform for neurodivergent users built with SvelteKit and Three.js, backed by live voice agents, sentiment scoring, and secure self-hosted infrastructure.

SvelteKitThree.jsGoogle AIElevenLabsMongoDBCoolify
BUILD_MATRIX // VOXEL
PIPELINE_READY // TRUE
DEPLOYMENT_STATUS // STABLE
ARTIFACTS // VERIFIED
BEST AI HACK USING IBM TECHNOLOGY // GENAI GENESIS 2026
VOXEL

Immersive AR learning app that turns text prompts into AI-generated 3D teaching models, spatial flashcards, and animated educational experiences with a Flutter frontend and orchestrated generative pipeline.

DartFlutterARMeshy AILangflowWatson AIDB2
BUILD_MATRIX // EMBER
PIPELINE_READY // TRUE
DEPLOYMENT_STATUS // STABLE
ARTIFACTS // VERIFIED
2X CATEGORY WINNER // HACK CANADA 2026
EMBER

Wildfire-response AR HUD and command dashboard that guides responders through zero-visibility smoke, streams live POV and detections over WebRTC, and surfaces real-time biometric stress data to commanders.

Next.jsReactWebXRWebRTCFastAPITensorFlow.jsWearOS

Project Log / Other Builds

5 archived
01 // Custom Linux Desktop Environment // automated dev workflows, kernel config, and LMS scraping
02 // AcademAmigo // LLM-powered study platform with SvelteKit, TypeScript, PostgreSQL, and Supabase
03 // Proxmox LLM Server // self-hosted AI infrastructure using Rust, Docker, LXC, and Ollama
04 // Resume Tailoring Pipeline // n8n, SQLite, RAG matching, LaTeX PDF generation
05 // Plates Gym Logger // Kotlin Android app using Health Connect and SQLite