Sajid Kalam

Private Client Systems

Selected engineering work involving private client systems and production web applications — discussed on request, within confidentiality limits.

Confidential — details shared on request
Abstract illustration of redacted code and locked panels.
Illustrative artwork. No real screenshots, client data, or patient information are shown.
My role
Software Engineer
Type
Client project
Status
Private / NDA
On this page
  1. Overview
  2. What this covers
  3. What I can share
  4. What I don't publish

Overview

Some of my work lives in private repositories or under confidentiality agreements. I don't publish client details, screenshots, or code from these projects.

I'm happy to discuss the problems, my role, and the engineering approach in conversation.

What this covers

Selected engineering work involving private client systems and production web applications. These projects live in private repositories or under confidentiality agreements.

What I can share

  • My role and responsibilities
  • The kind of problem the system solves
  • The engineering approach and the trade-offs involved, at a general level
  • What I learned

What I don't publish

  • Client names without permission
  • Screenshots, data, or documents from client systems
  • Proprietary code, credentials, or infrastructure details

If you'd like to hear more about this work, get in touch — I'm happy to talk through it within whatever limits the agreements allow.

Abstract illustration of a clinical dashboard with intake form, schedule, and SOAP-note panels. Contains no real data. In production

Healthcare software Professional

EMR & Patient Intake Platform

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

  • Python
  • Django
  • Django REST Framework
  • JavaScript
  • and 7 more
Login I Lanexis PVT LTD - customer.lanexis.com Completed and deployed

Business platform Client project

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.

  • Django
  • Django REST Framework
  • React Native
  • Expo
  • and 7 more
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

→Get in touch

Working on something similar?

I’m happy to talk through the problem, the trade-offs, and how I’d approach it.

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