Sajid Kalam

Experience

Building software that people rely on every day.

Production healthcare software, end-to-end client delivery, and applied machine learning — with the responsibilities, technologies, and engineering details behind each role.

  1. — Present

    Associate Engineer · Full-Stack Web Developer

    Corunit Media Corp

    Current

    Case studies

    Building and evolving a production Electronic Medical Record (EMR) and patient intake platform used for clinical documentation, scheduling, billing, and practice administration. My scope has grown from frontend work into backend engineering, database design, API development, deployment, and production support.

    Product engineering

    • Developed and evolved features across a full-stack healthcare platform built with Django.
    • Built and improved patient intake workflows involving complex patient data structures and forms.
    • Developed clinical documentation workflows, including SOAP notes.
    • Implemented appointment scheduling functionality.
    • Contributed to billing and superbill workflows, authorization forms, invoices, ticketing, and administrative tools.

    Backend, APIs & data protection

    • Developed REST APIs with Django REST Framework.
    • Implemented authentication and role-based access control.
    • Worked on audit logging and data-protection mechanisms.
    • Supported data import and migration workflows.

    Production & operations

    • Investigated and resolved client-reported bugs.
    • Participated in production deployment, maintenance, and debugging.
    • Worked with AWS hosting, Nginx, scheduled background tasks, backups, SSL, DNS, and storage as part of production operations.

    Technologies

    • Python
    • Django
    • Django REST Framework
    • JavaScript
    • HTML/CSS
    • Bootstrap
    • SQLite
    • REST APIs
    • AWS
    • Nginx
    • Git/GitHub

  2. —

    Data Science Intern

    Personifwy

    Internship

    Case studies

    Built and evaluated two supervised NLP text-classification models as part of a data science internship.

    SMS spam classification

    • Built a spam/ham classifier using TF-IDF features and a Support Vector Machine.
    • Tuned hyperparameters with GridSearchCV.
    • Reported 98% classification accuracy on the project’s evaluation data.

    Hate speech detection

    • Built a Logistic Regression classifier on preprocessed text.
    • Addressed class imbalance with SMOTE.
    • Reported 92% classification accuracy.

    Technologies

    • Python
    • scikit-learn
    • SVM
    • TF-IDF
    • GridSearchCV
    • Logistic Regression
    • SMOTE

Education

  • Master of Computer Applications (MCA)

    Siliguri Institute of Technology

    2024 — 2026 CGPA 8.63/10

    Completed

  • Bachelor of Computer Applications (BCA)

    University of North Bengal

    2021 — 2024 CGPA 9.31/10

    Completed

→Get in touch

Have a role or project in mind?

Hiring for a backend or full-stack role, planning a project, or looking for a collaborator? Tell me what you’re working on.

Start a conversation sajid.kalam.dev@gmail.com