Alvi Programming

Alvi Shariar Matin

I'm Designer

About

I’m a Data Science student at Concordia University with a focus on Data Science, backend development, and full-stack engineering. I’ve led the development of production-level apps—most notably a cross-platform inventory management system used across restaurant branches—and built award-winning deep learning models for medical image segmentation. With hands-on experience in Python, Firebase, SQL, and cloud services, I bring a strong mix of problem-solving, software engineering, and data-driven thinking to every project I take on.

Software Developer & Data Science Student

Passionate about building scalable software and solving real-world problems using data, AI, and full-stack development.

  • Birthday: April 17, 2003
  • Website: www.alvimatin.dev
  • Phone: +438 336 0965
  • City: Montreal, Canada
  • Age: 22
  • Degree: Bachelor
  • Email: Alvimatin@gmail.com
  • Freelance: Available

I'm currently leading the development of a real-time inventory management app for restaurants, while also building deep learning models for image segmentation and classification. I enjoy working at the intersection of software engineering and AI, with experience in full-stack development, cloud services, and Python-based ML pipelines. I'm always looking to solve practical problems through clean, scalable, and impactful code.

Projects Completed Web, mobile & DL/ML pipelines

Hours Coding Across full-stack & AI work

DL/ML Model Training Hours On real-world image datasets

AI Challenge Winner Medical Segmentation – $1000 award

Skills

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Python 95%
PyTorch / Deep Learning 70%
JavaScript 75%
Flutter/Dart 85%
Firebase 90%
SQL 75%

Resume

Passionate software developer and data science student with experience in full-stack app development, machine learning, and backend automation. Known for building production-ready systems and award-winning AI models that solve real-world problems.

Sumary

Alvi Shariar Matin

Passionate and results-driven Software Developer with experience building production-grade full-stack applications and award-winning deep learning models, with a focus on solving real-world problems using scalable backend systems and AI solutions.

  • Montreal, QC, Canada
  • (438) - 336-0965
  • alvimatin@gmail.com

Bachelor of Computer Science – Joint Major in Data Science

2022 - 2026

Concordia University, Montreal, QC

Coursework includes software engineering, artificial intelligence, and statistical data analysis. Developed several real-world applications including full-stack systems and deep learning models as part of academic and project-based learning.

Diploma of College Studies (DEC) – Commerce

2020 - 2022

Dawson College, Montreal, QC

Completed foundational courses in business, economics, and mathematics while developing strong problem-solving and analytical skills. This program laid the groundwork for my transition into computer science and data-driven software development.

Professional Experience

Flutter Developer (Freelance)

Dec 2024 – Present

3 Amigos Group Inc, Montreal, QC

  • Designed, developed, and deployed a full-stack inventory management app using Flutter and Firebase.
  • Built real-time features like stock adjustments, transaction history, and low-stock alerts using Firestore triggers and backend logic.
  • Implemented scalable role-based access control for Admins, Managers, and Staff.
  • Currently in production at the flagship location, with planned expansion across all 8 branches.

Junior Data Analyst / Bookkeeper

Jan 2024 – Present

3 Amigos Group Inc, Montreal, QC

  • Tracked and reconciled daily sales, labor costs, and inventory across multiple restaurant branches using Excel, Google Sheets, and POS exports.
  • Created and maintained custom dashboards and weekly reports for internal audits and executive decision-making.
  • Streamlined reporting pipelines and collaborated with accounting and operations teams to validate data accuracy.

Key Projects & Achievements

1st Place – Medical Image Segmentation with Deep Learning

Mar 2025

Sponsored by Huron Consulting Group

  • Won $1,000 cash prize for developing the top-performing segmentation model in a competitive AI project.
  • Built deep learning pipelines using PyTorch, training U-Net, U-Net++ with SCSE attention, and SegFormer architectures on a proprietary dataset of 17,375 tissue images.
  • Achieved 93.38% final IoU with advanced data augmentation techniques like gamma correction, Gaussian noise, and geometric transforms.
  • Project aimed at assisting pathologists in tissue analysis and automating diagnostic workflows.

Portfolio

I’m a passionate software developer focused on building modern, efficient, and user-friendly applications. From full-stack mobile apps to intelligent automation tools, I bring ideas to life through clean code and thoughtful design. Explore my projects below to see how I solve real-world problems with technology.

  • All
  • AI
  • Dev
Medical Image Segmentation

Medical Image Segmentation

PyTorch | 1st Place Project, IoU: 93.38%

Inventory Management App

Inventory Management App

Flutter & Firebase | Real-time stock tracking

Pet Adoption Web App

Pet Adoption Web App

Node.js & Express | Full-stack platform with JWT auth

CIFAR-10 Classification

CIFAR-10 Image Classification

PyTorch | CNN for multi-class object recognition

Food Ready Dashboard

Food Ready Kitchen Dashboard

HTML, CSS & JS | Kiosk-mode display for live kitchen use

ML Segmentation Project

ML Project – Image Segmentation

SegVit, MLP, CNN, Naive Bayes | Model Comparison on CIFAR-10

Time Series Forecasting

Time Series Forecasting

LSTM vs Transformer | Daily Climate Dataset

Stack-Based Calculator

Stack-Based Calculator

Java | Evaluates arithmetic + inequality expressions

Book Inventory

Book Inventory System

Java | ISBN validation + genre-based filtering

Amazon Web Scraper

Amazon Web Scraper

Python | Extracts price & product data for analysis

Spotify API Project

Spotify Top Tracks

Python | Uses Spotify API to fetch artist's top 10

Services

I offer end-to-end solutions in software development and artificial intelligence, including full-stack app development, deep learning model design, backend automation, and data engineering. Whether you're launching a product or optimizing business operations, I bring real-world experience to deliver impactful, scalable results.

Full-Stack App Development

Building production-ready web and mobile apps using Flutter, Firebase, Node.js, and modern UI frameworks.

Machine Learning Pipelines

End-to-end ML model training and evaluation using real-world datasets and scikit-learn workflows.

Deep Learning & AI

Developing custom CNN, U-Net, and Transformer models for tasks like segmentation and time-series forecasting.

Business Website Development & SEO

Professionally designed, fast-loading, and mobile-responsive websites for restaurants, local services, and personal brands.

AI Competition Winner

1st place award for deep learning-based segmentation at a $1,000 AI challenge sponsored by Huron Group.

E-Commerce & Product Landing Pages

Build high-converting online shops and custom landing pages to help businesses showcase and sell their products or services.

Contact

Feel free to reach out for freelance projects, AI collaborations, or software development opportunities. I'm always open to meaningful tech-driven work and conversations.

Address

1621 Rue Saint-Denis, Montreal, QC, Canada, H2X 3K3

Call Us

+438 336 0965

Email Us

alvimatin@gmail.com

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