Maryam Gohargani

University of TorontoSeptember 2019 – April 2022

Honours Bachelor of Science, Specialist in Computer Science, Minor in Mathematical Sciences

Conferred with High Distinction · GPA 4.0 / 4.0 · 94.4% average

Dean's List Scholar (2020–2022) · Honour Roll (2020–2022) · Entrance Scholarship (2019)

Selected coursework:

• See my full transcript

NSERC Undergraduate Student Research Award (USRA)2021

ACM-ICPC, team "U of T White"2020 – 2021

East Central North America Regional Contest, 6 March 2021 — 19th of 71 teams

Bronze Medal, Iranian National Olympiad in Informatics (INOI)2016, 2017

Label-Only Membership InferenceJuly 2026 – Present

Paper reproduction — PyTorch, CIFAR-10, scikit-learn

• Reproducing Choquette-Choo, Tramèr, Carlini & Papernot (ICML 2021), training the target models and implementing the attacks
• Gap-attack baseline reproduced exactly: membership-inference accuracy 0.718, matching the theoretical ½ + (acc_train − acc_test)/2
• Data-augmentation attack (47 label-only queries per point) reaches 0.750, beating the gap baseline, and a naïve count-threshold variant scores 0.683, showing the gain comes from weighting the queries rather than from augmentation robustness alone
• Documented throughout as a public write-up series, including a from-scratch derivation of backpropagation
• Read the series
• magnesium4/label-only-membership-inference

Model-Written EvaluationsJuly 2026 – Present

Independent research project — Python, LLM APIs (Anthropic, Gemini), Ollama

• Reproducing Perez et al. (2022) model-written evaluations against current frontier models; built the evaluation harness from scratch (multi-provider, with offline re-analysis)
• Established each dataset's label orientation directly from the data before interpreting any results
• Found survival-instinct and power-seeking behaviours decrease with model capability across Claude Haiku, Sonnet and Opus, partly reversing the paper's original scaling trend
• magnesium4/model-written-evals

Trajectory LabsJune 2026 – Present

Member — Toronto's in-person AI-safety community

Attending regularly to keep current with alignment research and to work alongside others building in the field; where much of my present research direction took shape.

first-order miniKanrenSeptember 2021 – April 2022

CSC492H5 — Computer Science Implementation Project (two terms)

Supervised by Lisa Zhang, with Gregory Rosenblatt, University of Toronto Mississauga

Racket, logic programming, proof assistants, constraint solving

• Contributed to a research implementation of miniKanren that represents its search space as a first-order data structure rather than as closures, making the search inspectable and transformable
• Implemented disequality and type constraints, including their propagation through substitution extension, and worked on reification and state simplification
• Contributed rewrite rules, debugging tools and documentation, with tests alongside each change
• JonathanMMartin/first-order-miniKanren

University of TorontoSeptember 2020 – April 2022

Teaching Assistant — Computer Science & Mathematics

15 course sections across Computer Science and Mathematics:

• Designed and delivered tutorials and practicals for groups of up to 90 students; held regular office hours
• Managed discussion boards for courses with 800+ enrolment; graded assignments, tests and exams for 500+ students
• Devised and proofread course materials, designed problem sets and exams, and determined grading rubrics
• Graded proof-based mathematics assignments with detailed written feedback
• Supported student learning through the COVID-19 pandemic, adapting to fully remote instruction

Pre-university (gap year)2018 – 2019

ESL Teacher & Informatics Instructor

• Certified ESL teacher; taught English language courses independently
• Designed and taught an algorithms and programming curriculum for high school girls preparing for the International Olympiad in Informatics (IOI)

Contract workJuly 2026 – Present

Stealth startup — further details available on request

Software EngineerApril 2022 – July 2023

Avenu Insights & Analytics (formerly Harmari by LTAS Technologies)

• Developed backend software in Python, Java, PHP and MySQL for municipal and regulatory technology products
• Designed data processing pipelines to parse and transform KML/XML and geospatial datasets, saving 5+ hours/week for client-facing teams
• Built automated QA tooling using Python and Matplotlib to validate accuracy of data scraped from external sources
• Implemented and enhanced cross-checking algorithms to match short-term rental data with licensing records (60% viable match rate)
• Refactored and redesigned MySQL database schemas, improving performance and eliminating 1,000+ lines of duplicate code
• Migrated legacy Java and PHP/Laravel codebases to support updated data models
• Deployed and maintained applications on remote customer servers under strict jurisdictional data-security requirements
• Researched, proposed and evaluated technical solutions using trade-off analysis; presented recommendations to leadership
• Led the team's migration from SVN to Git, establishing workflows and training colleagues on version-control practices
• Debugged production issues and improved system reliability for customer-facing and internal users
• Worked directly with clients to clarify requirements, troubleshoot issues and iterate on solutions

Invoice & Payments SystemFebruary 2026

FastAPI, React, TypeScript, PostgreSQL

• Built full-stack invoice & payment app with CRUD, invoice lifecycle (DRAFT → PENDING → PAID/VOID) and partial payment support
• Implemented row-level locking to prevent overpayment under concurrency; enforced business rules with Pydantic validation
• Delivered React SPA with list/detail/create flows, filters (status, customer, date range), and 50+ pytest tests
• magnesium4/invoice-payments

Toronto Public Resource Density APIJanuary 2026

Python, FastAPI, GeoPandas, Pandas, Shapely

• Designed a FastAPI microservice to ingest municipal GeoJSON datasets and expose analytics through RESTful APIs
• Built service-oriented architecture with separate ingestion, processing and API layers; engineered geospatial pipelines with CRS transformations and spatial joins
• Implemented a /density endpoint computing and serving neighbourhood-level resource-density metrics as structured JSON
• Applied backend best practices: Pydantic schema validation, modular routing and separation of concerns
• magnesium4/toronto-public-resource-density

BaobabMay 2021 – August 2021

MERN, TypeScript, REST APIs, three-tier architecture

• Built a community-driven e-learning platform supporting multiple user roles, team formation, posts and mentor feedback workflows
• Designed RESTful backend APIs with TypeScript and Express; modelled MongoDB schemas for users, teams, posts and submissions
• Led a team of seven developers, delegating tasks and running agile stand-ups
• magnesium4/Baobab

VP of External AffairsMay 2021 – May 2022

Mathematical & Computational Sciences Society, University of Toronto Mississauga

• Elected student leader responsible for academic and non-academic events for 1,000+ students
• Led organisation and delivery of UTM's largest Hackathon (200+ participants)
• Conducted technical interviews to recruit student developers for the society's website team

Backend Software DeveloperJune 2021 – November 2021

University of Toronto Mississauga, Dept. of Mathematical and Computational Sciences (volunteer)

• Recruited by the department to help build processes and tools supporting student academic success
• Worked in a team of five to revitalise the Computer Science Student Community (CSSC) website
• cssc.utm.utoronto.ca

Mentor, Women in Science & Computing2021

University of Toronto Mississauga

Mentor, International Student Mentorship Program2020

University of Toronto Mississauga

Study Group Leader, Peer Facilitated Study Groups2020

University of Toronto Mississauga

Event Volunteer, Math in Motion… Girls in Gear!2019

University of Toronto Scarborough