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maxsteep/README.md

Max Stepanov

Computer Engineer | AI & Systems Specialist | Published Researcher

Forward-thinking technology leader passionate about leveraging AI and systems expertise to develop impactful, real-world solutions, particularly within healthcare and infrastructure domains. Proven ability to design, implement, and optimize complex systems, drive innovation, and lead teams to success.

Contact: [email protected] | LinkedIn


Core Competencies

Category Skills
Technical Skills C/C++, Python, kernel, assembly | Jira/Git | HTML/CSS, Bootstrap, Flask, NoSQL, REST
AI & Machine Learning PyTorch, Model Development & Deployment, Published Research (CAR J. & RSNA J.), ML Classification, Data Pipelines
Systems & Cloud Windows/Linux Servers, AD | VoIP, VLAN, Cisco CCNA | AWS, Docker, Heroku | VMware
Hardware & Firmware Verilog and FPGA digital design | Embedded ARM microcontroller development
Medical Imaging & Healthcare IT RIS, PACS, HL7, DICOM workflow | Secure handling of patient data (PHIPA/PIPEDA)

Professional Experience Highlights

  • Maxoft Inc., IT Consultant (2022 - Present)
    • Delivered automation, web development, and digital marketing solutions, boosting client efficiency by up to 40% and web engagement by 30%.
  • Unity Health Toronto & St. Michael's Hospital, AI Research Engineer (2021 - 2022)
    • Developed AI tool improving CT scan DICOM tagging accuracy from <50% to >99%, enhancing diagnostic workflows and patient care.
    • Published research on Machine Learning Classification on CT Imaging in the Canadian Association of Radiologists Journal and RSNA's Radiology: Artificial Intelligence Journal.
    • Ensured secure handling of 50,000+ patient records in compliance with PIPEDA, TCPS 2, and hospital privacy standards.
  • Deluxe Entertainment, IT Analyst II (2013 - 2014)
    • Led company-wide upgrade of 100+ PCs, enhancing security and mitigating risks.
    • Implemented IT policies and SOPs that reduced average ticket resolution time by 10-15%.
  • SIMMS Inc., System Administrator & Senior Technical Support Representative (2010 - 2013)
    • Led and mentored a 3-person support team.
    • Coordinated hardware/software integrations (HL7, DICOM, RIS, PACS) in hospital settings.
  • Royal Canadian Navy, Marine Engineer (2008 - 2009)
    • Maintained mission-critical mechanical and electrical systems under high-pressure environments.

Education

  • University of Toronto - Bachelor of Applied Science (BASc) in Computer Engineering (2014 - 2022)
  • University of Toronto - Engineering Business with Leadership Focus (2018 - 2022)

Portfolio

  • AI Radiology Medical Imaging Cloud Jupyter Notebook python PyTorch
    ML Classification on CT Imaging
    : A PyTorch implementation of machine learning models for classifying medical conditions based on CT imaging data. This project formed the basis of published research in CARJ and RSNA, demonstrating proficiency in developing and validating AI solutions for medical imaging.
  • VBA
    MediFormGen
    : A system for generating and managing medical forms, streamlining patient intake and data collection processes within healthcare settings.
  • C++
    GMaps Clone OSM: MAKS Maps
    : A clone of Google Maps built using OpenStreetMap data, showcasing skills in mapping technologies, APIs, and user interface design.
  • HTML5 CSS3 JavaScript
    CityGlazing website
    : A full website developed for City Glazing, demonstrating proficiency in front-end (HTML, CSS, JavaScript) web development and UI/UX design.
  • Assembly C
    SmartCore SafeLift
    : An elevator simulator project highlighting skills in system design, control algorithms, interrupt handling and real-time programming.
  • Verilog
    '72Pong
    : A recreation of the classic game Pong, showcasing fundamental game development skills, including hardware interfacing and low-level programming with ISRs.

Seeking opportunities to leverage my AI and systems expertise to build innovative and impactful solutions. Let's connect!

Pinned Loading

  1. ML-Classification-on-CT-Imaging ML-Classification-on-CT-Imaging Public

    This repository contains early TensorFlow demonstration code intended for visualizing anonymized public health DICOM data and exploring the initial training viability of our CT classification metho…

    Jupyter Notebook

  2. MediFormGen MediFormGen Public

    MediFormGen: VBA-Powered Rehabilitation Clinic Management Software. This project automates invoice and document generation for a physiotherapy practice using VBA in Microsoft Word, with local datab…

    VBA

  3. GMaps-Clone-OSM-MAKS_Maps GMaps-Clone-OSM-MAKS_Maps Public

    A high-performance, clean-room implementation of Google Maps built in C++, utilizing OpenStreetMap data, with advanced routing, navigation, and a feature-rich UI.

    C++

  4. CityGlazing-website CityGlazing-website Public

    Completed City Glazing website. Fully functional, responsive, and visually polished. Built with HTML5, CSS3, Bootstrap, JavaScript, jQuery, AJAX, Revolution Slider, Owl Carousel, and Cube Portfolio…

    CSS

  5. SmartCore-SafeLift SmartCore-SafeLift Public

    An industrial elevator mock-up model featuring a multi-floor programmable configuration, integrated safety sensors, and emergency stop/reset functionality, demonstrating expertise in real-time cont…

    Assembly

  6. -72Pong -72Pong Public

    Faithful transistor level FPGA recreation of the first classic computer video game Ping Pong from Atari. Clean room code, all functionality and score tracking of the original product.

    Verilog