Computational Scientist · ML & Computer Vision
A recent Master's graduate in Computational Science, crafting intelligent systems at the intersection of machine learning, computer vision, and thoughtful engineering.
Signal
ML, computer vision, iOS apps, and photography in one portfolio.
MSc
Computational Science
3
iOS apps
4
Site languages
12
Photographs
About
Hi, I'm Einar Yang — a recent Master's graduate in Computational Science from Laurentian University in Sudbury. Now in my second year living in Canada, I'm excited to be looking for my first full-time opportunity. I'm especially drawn to Machine Learning and Computer Vision, the focus of my graduate coursework.
Beyond computers, I love hiking, classical music, and aviation. Killarney is my favourite place to hike, with breathtaking views along the shores of Lake Huron. I've played piano since I was five and have a deep appreciation for Chopin's nocturnes, ballades, and scherzos. I also find real joy in photographing aircraft — to me they embody the marvel of human engineering and design.
Languages
02 / Projects
A free on-device AI translator and assistant — translate text and photos, fully offline.
03 / Projects
A Chinese-language study app for Ontario's G1 knowledge test — 201 questions, mock exams and a wrong-answer book.
04 / Projects
Race conditions, mutexes, semaphores, deadlock — drive real threads step by step and see exactly why concurrent code breaks.
05 / Projects
A story-driven logic puzzle about shared promises, impossible grids, and the Ninth Glitch.
Experience
Where I've worked and what I've built
FinTech · RAG & Agent Engineering
Independent open-source project · Sept 2026
Investigates how policy changes affect procedures using version-aware retrieval and a bounded, read-only agent. Exact source citations, tool budgets and structured findings support human review instead of automatic compliance decisions.
Synthetic policy cases · Offline/mock tests · Live model verification pending
View source on GitHub ↗FinTech · Data Integrity & Reconciliation
Independent open-source project · Sept 2026
Structures mixed CSV, TSV, XLSX and JSON uploads while retaining original files, every extracted row and mapping history. Deterministic normalization and exact monetary arithmetic make ambiguous data and reconciliation exceptions inspectable.
Local-first · Public retail data with simulated discrepancies · No LLM execution
View source on GitHub ↗FinTech · Model Evaluation Research
Independent open-source research · Sept 2026
Compares frozen, scheduled and evidence-triggered fraud-model retraining under delayed labels and equal review capacity. Chronological evaluation, paired bootstrap intervals and power studies document when monitoring fails to justify an intervention.
1M synthetic applications · No demonstrated benefit from the proposed trigger
View source on GitHub ↗On-Device AI · iOS
iOS App · Apr 2026 – Present
Engineered a production iOS app integrating Google Gemma 4 for fully on-device inference — zero external API calls, full privacy, sub-100 ms latency.
On-Device AI · Translation
iOS App · May 2026 – Present
Built a fully on-device translation app for 12+ language pairs with Google Gemma 4 (Core ML) — no internet, complete privacy.
Product · Growth
AI Startup · Sept 2025 – Present
Led product cold-start from 0 to 300+ active users via community acquisition on Reddit, Instagram and Medium.
MSc, Computational Science (Course-based) · Bharti School of Engineering & Computer Science
Sep 2023 – Aug 2024 · GPA 9.30 / 10
Contact
Open to new opportunities and good conversations
Greater Toronto Area, Ontario, Canada
