Gatlat

I'm Gatlat

Computer Science & Psychology at McGill

Full-stack developer building production platforms and ML tooling. Currently engineering a hypothesis-generation system for a McGill research lab. 2 RI-MUHC internships · Top 5/16 MDN Hackathon.

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Work

Enzygent

Full-Stack Developer & DevOps · Research Institute of the McGill University Health Centre (RI-MUHC), Dr. Brian Chen Lab

May 2026 – Present

Co-built Enzygent (enzygent.app), a production platform for Dr. Brian Chen's lab at RI-MUHC that predicts candidate enzyme classes and UniProt proteins from a SMILES input, cross-referencing three layers of biochemical evidence — RetroRules, the ExPASy enzyme catalog, and 6,500+ lab-validated Rhea reactions.
Owned deployment end-to-end: stood up production infrastructure with Cloudflare Tunnel routing live traffic to a self-hosted server, and built the core data layer — enzyme classes, candidate proteins, benchmark pairs, and evidence documentation.
Built across the stack — Next.js frontend, FastAPI/Python backend — and co-developed the Design Studio module: governance workflows, reviewer dashboards, and interactive 3D protein visualization with Mol*.
Extending toward de novo enzyme prediction for novel reactions — combining multi-layer evidence with ML, in the spirit of AlphaFold's approach to structure prediction.
Next.jsFastAPIPythonRDKitRetroRulesSQLiteTailwindCSSMol*Cloudflare Tunnel

Web Developer Intern — Genedig

Research Institute of the McGill University Health Centre (RI-MUHC) · Dr. Brian Chen Lab

Jun 2025 – Sep 2025

Diagnosed and fixed critical bugs across Genedig's PHP/JavaScript codebase, improving platform stability and reducing downtime for the research team.
Built a local XAMPP/MySQL development environment that streamlined onboarding and let the team reproduce and troubleshoot issues faster.
Demoed the working platform to the research group, walking through fixes and gathering feedback to prioritize next steps.
PHPJavaScriptAngularMySQLXAMPP

Projects

Springboard.io

Co-creator · MDN Web Docs Hackathon

Mar 2026 – Apr 2026

Co-built an agentic employee-onboarding platform end-to-end in a single afternoon sprint — finalist, top 5 of 16 teams at the McGill Data Network Hackathon.
Shipped a working product under extreme time pressure using Next.js 16 and the Vercel AI SDK (Gemini), prioritizing a demoable end-to-end flow over feature breadth.
Designed agentic workflows that automated access provisioning and generated personalized intro emails for new hires.
Architected a RAG pipeline so new hires could get context-aware answers from internal docs instead of hunting through wikis.
Next.jsVercel AI SDKGeminiRAGTypeScript

DNA Sequence Binding Analysis

Bioinformatics · McGill University

2024 – 2025

Built a Python/Bash pipeline to process ChIP-seq data and call peaks, identifying transcription factor binding sites across the genome.
Identified transcription-factor binding motifs from ChIP-seq peaks and characterized protein–DNA interaction patterns.
Automated peak-calling and visualization end-to-end, cutting manual analysis steps out of the workflow.
PythonBashBioinformaticsChIP-seq

Medical Diagnostic Support System

ML Developer · McGill University

2024 – 2025

Built a Python diagnostic tool that compares patient symptoms against a case database to surface candidate diagnoses.
Implemented a K-Nearest Neighbours classifier for multi-class disease prediction, validating accuracy across held-out test cases.
Pythonscikit-learnKNNPandas

Skills

Languages

PythonJavaScriptTypeScriptPHPJavaHTML/CSSSQLBashC

Frameworks & Libraries

ReactNext.jsFastAPINode.jsAngularTailwindCSSRDKitPandasscikit-learn

Infrastructure & DevOps

MySQLSQLiteGitLinuxCloudflare TunnelXAMPPVercel

Tools

GitHubVS CodeVim

Education

Computer Science & Psychology

McGill University · Montréal, QC

2024 – 2028

WUSC-SRP Scholarship recipient (2024).
Coursework: Object-Oriented Programming, Calculus, Web Development, Software Design, Operating Systems & Computer Systems.