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I am a Software Engineering student at McGill University with hands-on experience building full-stack web applications and AI research tools. I enjoy working across frontend and backend systems, using technologies such as React, Node.js, Python, FastAPI, TypeScript, PostgreSQL, AWS, and PyTorch to turn ideas into reliable, practical products.…

Eytan Khoutorsky

Software Engineer, Full Stack Developer, Front-End Developer, +2

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I am a Software Engineering student at McGill University with hands-on experience building full-stack web applications and AI research tools. I enjoy working across frontend and backend systems, using technologies such as React, Node.js, Python, FastAPI, TypeScript, PostgreSQL, AWS, and PyTorch to turn ideas into reliable, practical products.…

Available to hire

I am a Software Engineering student at McGill University with hands-on experience building full-stack web applications and AI research tools. I enjoy working across frontend and backend systems, using technologies such as React, Node.js, Python, FastAPI, TypeScript, PostgreSQL, AWS, and PyTorch to turn ideas into reliable, practical products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

French

Advanced

Russian

Advanced

Work Experience

Full-Stack Engineer Intern at PM Accelerator

June 1, 2026 - August 1, 2026

Engineered and shipped major features for a large-scale web application using Next.js, TypeScript, FastAPI, Supabase, and REST APIs. Worked across frontend architecture, authentication, API integration, and database-backed functionality while collaborating with an engineering team to build scalable React systems and server-side integrations.

Research Assistant at Bashivan Lab, McGill University

May 1, 2026 - Present

Architected a modular Python framework for large-scale AI experimentation, transformer model analysis with PyTorch, workflow automation, and mechanistic interpretability. Designed and implemented an LLM-powered research platform integrating experiment orchestration, model execution, activation analysis, and automated visualization to accelerate AI research workflows.