Associate Engineer at Corunit Media Corp . Open to backend & full-stack opportunities

Sajid Kalam — Software Engineer Backend thinking.
Full-stack execution.

I build and run production web systems with Python, Django, and REST APIs — from clinical workflows in a healthcare EMR platform to a B2B customer portal I took from requirements to AWS deployment.

  • Python
  • Django
  • DRF
  • PostgreSQL
  • JavaScript
  • AWS
sajid@portfolio interactive
whoami
sajid-kalam — backend & full-stack engineer
git status
On branch main · nothing to commit
git pull origin main
Already up to date.
pip install -r requirements.txt
✓ Installed 42 packages
python manage.py migrate
✓ Applied 24 migrations
python manage.py test
✓ 86 passed in 4.2s
ruff check .
✓ No issues found
black . --check
✓ All files formatted
cat stack.txt
Python · Django · DRF · PostgreSQL · AWS
psql -c "\dt"
24 tables
aws s3 ls s3://portfolio-media/
1,204 objects
curl -I /api/patients/42/
HTTP/1.1 200 OK
python manage.py runserver
Starting development server at :8000
git add .
staged 6 files
git commit -m "fix: patient intake validation"
[main 7a9f21c] fix: patient intake validation
git push origin main
main -> main
gunicorn config.wsgi:application
Listening on :8000 — ready
echo "shipped."
shipped.
type help to try it. Not a live system shell.

01 Introduction

I follow problems all the way down the stack.

I started on the frontend and kept following the problems downward — into data models, APIs, access control, and the servers that keep everything running. Today my work spans backend engineering, database design, API development, deployment, and production maintenance.

At Corunit Media Corp I work on a production Electronic Medical Record platform: patient intake, clinical documentation, scheduling, billing, and the administrative tooling around them. I’ve also led a B2B customer portal end to end, and I bring a grounding in machine learning and NLP from a data science internship.

More about how I work
  • Understand the workflow first

    Software for clinics and businesses only works when it matches how people actually work. I start with the workflow, then shape the data model around it.

  • Own it through production

    Shipping is the midpoint. I stay with features through deployment, debugging, and client-reported issues until they hold up in real use.

  • Treat data with care

    Role-based access, audit trails, and careful handling of sensitive records are defaults in how I design — not something bolted on later.

02 Technical skills

Tools I reach for

No proficiency bars or percentages — the case studies show how each tool was actually used.

Backend & programming

08

Server-side logic, APIs, and the languages I work in.

  • Python
  • Django
  • Django REST Framework
  • SQL
  • JavaScript
  • Java
  • C
  • C++

Frontend & mobile

07

Interfaces that make complex workflows usable.

  • HTML5
  • CSS3
  • JavaScript
  • Bootstrap
  • Tailwind CSS
  • Responsive UI development
  • React Native / Expo

Data & machine learning

09

Applied NLP and supervised text classification.

  • pandas
  • NumPy
  • scikit-learn
  • NLTK
  • SVM
  • Logistic Regression
  • TF-IDF
  • SMOTE
  • NLP & text classification

Databases

06

Relational modelling, migrations, and data access.

  • PostgreSQL
  • MySQL
  • SQLite
  • Relational data modelling
  • Database migrations
  • Query optimization

Engineering & deployment

13

Security, integrations, and running software in production.

  • REST API design
  • Authentication & authorization
  • Role-based access control
  • Audit logging
  • API documentation
  • Third-party API integration
  • Git & GitHub
  • AWS (EC2, RDS, S3)
  • Nginx
  • Gunicorn
  • Background task scheduling
  • Production debugging
  • Environment configuration

Where I’m heading

Areas I’m actively deepening.

  • Backend & platform engineering
  • Cloud engineering on AWS
  • AI-enabled applications
  • Full-stack product engineering

03 Featured work

All projects
Abstract illustration of a clinical dashboard with intake form, schedule, and SOAP-note panels. Contains no real data.
Featured case study Healthcare software

EMR & Patient Intake Platform

A production Electronic Medical Record platform covering patient intake, clinical documentation, scheduling, billing, and practice administration.

Role
Associate Engineer · Full-Stack Developer
Period
Mar 2025 — Present
Status
In production
  • 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.
  • Python
  • Django
  • Django REST Framework
  • JavaScript
  • HTML/CSS
  • Bootstrap
  • SQLite
  • and 4 more
Login I Lanexis PVT LTD - customer.lanexis.com
Case study Business platform

Lanexis Customer Portal

A B2B customer portal I planned, designed, built, and deployed end to end Django backend, React Native/Expo app, Google Sheets integration, and AWS infrastructure.

Role
Lead Full-Stack Engineer & System Designer
Status
Completed and deployed
  • Planned the product and translated client requirements into technical workflows.
  • Designed the application architecture and major system components.
  • Developed backend functionality with Django and Django REST Framework.
  • Worked on the React Native / Expo mobile application.
  • Django
  • Django REST Framework
  • React Native
  • Expo
  • PostgreSQL
  • Google Sheets API
  • AWS EC2
  • and 4 more

04 More projects

Machine learning, web apps, and experiments

Internship NLP models, personal builds, academic work, and a hackathon concept — each written up with what it does and where its limits are.
Abstract illustration of text messages turning into a TF-IDF matrix and an SVM decision boundary. Internship project

Machine learning Internship

SMS Spam Classification

An SVM text classifier that separates spam from legitimate SMS messages using TF-IDF features, tuned with GridSearchCV.

  • Python
  • scikit-learn
  • SVM
  • TF-IDF
  • and 2 more
Abstract illustration of imbalanced class bars being balanced, next to a logistic curve. Internship project

Machine learning Internship

Hate Speech Detection

A Logistic Regression text classifier for hate-speech detection, using SMOTE to address class imbalance.

  • Python
  • scikit-learn
  • Logistic Regression
  • SMOTE
  • and 1 more
Abstract illustration of an editorial layout with article cards, tags, and a table of contents. Live

Content platform Personal project

DailyExplainers

A Django content platform for long-form explainers, built around Markdown authoring, scheduled publishing, search, and SEO-friendly structure.

  • Django
  • Python
  • Tailwind CSS
  • Markdown
  • and 1 more
Illustration of a chessboard with two browser windows connected by a peer-to-peer link. Live demo

Web application Personal project

Chess for Two

A browser-based two-player chess game that connects players peer-to-peer over WebRTC — no backend server or database.

  • JavaScript
  • HTML
  • CSS
  • PeerJS
  • and 1 more
Illustration of a quiz card with multiple-choice options and an AI generation button. Academic project

Education Academic project

Quiz Hub — AI-Assisted Student Portal

A Django student portal for generating and taking quizzes, with AI-assisted question generation and role-based access for students, teachers, and admins.

  • Python
  • Django
  • SQLite
  • Bootstrap
  • and 2 more
Illustration of text, image, and video complaints flowing through OCR and AI classification into categories. Hackathon concept

Hackathon Hackathon

Rail Madad AI Complaint Management — SIH 2024

A Smart India Hackathon 2024 concept for AI-assisted complaint management on Rail Madad, handling text, image, and video complaints in multiple languages.

  • OCR
  • Deep learning
  • NLP
  • Cloud

05 Experience

Where I’ve been building

Full experience
  1. — Present

    Associate Engineer · Full-Stack Web Developer

    Corunit Media Corp

    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.

    • Python
    • Django
    • Django REST Framework
    • JavaScript
    • HTML/CSS
    • Bootstrap
    • and 5 more
  2. —

    Data Science Intern

    Personifwy

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

    • Python
    • scikit-learn
    • SVM
    • TF-IDF
    • GridSearchCV
    • Logistic Regression
    • and 1 more

06 Education & learning

Formal study, continuous practice

Completed

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

→Get in touch

Let’s build something useful.

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