Samir Gbian

Who Am I

Graduated with a Bachelor's in Mathematics and Computer Science with a specialization in Data Science from Université de Montréal, I'm passionate about leveraging data to solve complex problems and building scalable software solutions.

Professional Experience

Full-Stack Software Developer @ BIASafe AI

Montreal, Canada | Jan 2026 - Apr 2026
  • Engineered scalable RESTful APIs with Python (FastAPI) and automated end-to-end type safety, ensuring highly reliable data pipelines for quantitative backtesting.
  • Implemented strict CI/CD deployment gates via GitHub Actions to validate data schemas against version control, eliminating frontend-backend production mismatches.
  • Leveraged agentic AI workflows to rapidly prototype data-intensive features and accelerate autonomous development cycles under tight deadlines.

Machine Learning Developer @ Food Ordering Application

Open Source Contributor | May 2024 - May 2025
  • Engineered a hybrid recommender system integrating collaborative filtering, content-based filtering, and knowledge-based algorithms to optimize user experience.
  • Contributed to full-stack development using React (frontend) and FastAPI (backend), improving code modularity and system maintainability.
  • Collaborated asynchronously with contributors via GitHub, managing version control and code integration workflows.

Teaching Assistant (Programming) @ University of Montreal

Montreal, Canada | Sept 2024 - Dec 2024
  • Mentored 200+ students in core programming concepts including recursion, loops, and functions, improving class performance by facilitating debugging sessions.
  • Collaborated with faculty to optimize pedagogical materials and enhance learning outcomes.

Projects & Research

Legal AI RAG Assistant

n8nSupabasePythonLLM APIs
  • Engineered an automated RAG data pipeline using n8n to ingest, process, and query complex, domain-specific legal documents.
  • Integrated Supabase as a vector database to manage high-dimensional data embeddings.

Job Tracker AI SaaS

Next.jsReactPostgreSQLOpenAI
  • Architected an AI-powered SaaS using Next.js to handle server-side logic for automated email parsing via OpenAI models.
  • Designed backend infrastructure with PostgreSQL, achieving 95% classification accuracy for application status updates.

Intelligent Workspace

n8nReactNeon
  • Architected a cross-platform workflow using n8n to synchronize Google Drive assets with an AI-driven retrieval system.
  • Optimized data structures for multi-modal RAG pipelines, ensuring seamless ingestion of diverse file formats.

Data Augmentation for Cell Segmentation

PyTorchMONAIGANs
  • Implemented U-Net architecture enhanced with GAN-based data augmentation for automated segmentation of 10,000+ microscopy images.
  • Applied Generative Adversarial Networks (GANs) for semi-supervised learning, increasing overall usable data by more than 60%.

Spoken Language Classifier

Scikit-learnPyTorchAward-Winning
  • Designed and implemented a machine learning pipeline comparing SVM, Random Forest, and Neural Network algorithms.
  • Achieved 30% accuracy via feature engineering and PCA on a test dataset of 5,000+ audio samples.

Spoken Language Classifier

Scikit-learnPyTorchAward-Winning
  • Designed and implemented a machine learning pipeline comparing SVM, Random Forest, and Neural Network algorithms.
  • Achieved 30% accuracy via feature engineering and PCA on a test dataset of 5,000+ audio samples.

Multi-Modal Reservation System

JavaUMLOCLDesign Patterns
  • Architected a comprehensive reservation system supporting air, naval, and rail travel using state chart modeling.
  • Implemented OCL constraints for business logic validation, ensuring data integrity across multiple modes.

Technical Skills

  • Languages: Python, TypeScript, JavaScript, Java, SQL, R, Julia, HTML/CSS
  • Frameworks & Libraries: React, Next.js, FastAPI, Flask, TailwindCSS, Node.js
  • Machine Learning & AI: Scikit-learn, PyTorch, TensorFlow, Pandas, NumPy, XGBoost, Supabase (Vector DB)
  • Data & Visualization: Power BI, PostgreSQL, Neon, MongoDB, Matplotlib, Seaborn
  • Tools & Automation: Git, Docker, n8n, AWS, Linux, GitHub Actions

Education

University of Montreal

Bachelor of Science in Mathematics and Computer Science (Data Science) | Aug 2022 - May 2025
  • Relevant Coursework: Statistical Learning, Linear Algebra, Probability Theory, Data Structures & Algorithms, Software Engineering, Database Design.
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