Dawood Nadeem

Dawood Nadeem

Associate Software Engineer specializing in AI-enabled healthcare systems and scalable software architecture.

Based in: Lahore, PakistanCurrently: Associate Software Engineer - Software Architecture Team, CureMDExperience: 1 year

Hire me

A Bronze Medalist Computer Science graduate with extensive experience in integrating deep learning and computer vision into real-world healthcare applications. Currently an Associate Software Engineer at CureMD, he excels in optimizing production performance and building robust, observable microservices using .NET, Python, and OpenTelemetry.

Experience

Associate Software Engineer - Software Architecture Team

CureMDLahore, PakistanworkOct 2025 – Present

Summary

Develop and maintain AI-enabled healthcare software, including AI Scribe and AI Medical Coder, contributing to feature development, infrastructure, and system integration. Developed a centralized utility to measure and validate AI Medical Coder accuracy, gaining practical experience in evaluating AI-enabled healthcare functionality. Worked on integrating AI Scribe with telemedicine workflows, developing a solution for large audio files that reduced resource consumption by 99%. Diagnosed and resolved production performance issues, including excessive SQL failures causing API slowness, reducing CPU utilization from 90-100% to below 10%, while using telemetry and observability dashboards to monitor system behavior and validate improvements. Developed and maintained modules across legacy enterprise systems and modern healthcare applications, contributing to both application and infrastructure improvements. Implemented and worked with OpenTelemetry-based observability, using SigNoz and ELK dashboards to monitor application performance, system behavior, logs, and telemetry. Hands-on experience with Kubernetes, Ocelot, Microservices, RabbitMQ, and scalable healthcare software infrastructure. Currently contributing to the pre-development phase of an AI Assistant and client-facing APIs.

What I did

  • Developed a code optimizer service during probation to help in-house developers optimize code and reduce PR review cycles.

Results

  • Reduced resource consumption by 99% for large audio files in telemedicine workflows.
  • Reduced CPU utilization from 90-100% to below 10% by resolving SQL failures and API slowness.
AI ScribeAI Medical CoderOpenTelemetrySigNozELKKubernetesOcelotMicroservicesRabbitMQSQLTelemetryObservability

Software Design and Architecture Bootcamp

CureMDLahore, PakistaninternshipAug 2025 – Sep 2025
Completed a 9-week enterprise-level bootcamp focused on software architecture, scalable backend design, and software engineering best practices. Developed CareLite, a clinic management system supporting patient records, billing, and analytics dashboards. Developed Patient Visit Manager using a .NET backend and Angular frontend, applying SOLID and object-oriented design principles. Implemented an e-commerce order system demonstrating Factory, Singleton, Strategy, and Repository design patterns. Developed a microservices prototype demonstrating independent service scaling and containerized applications using Docker.
.NETAngularTypeScriptSQLDockerJavaScriptHTMLCSSSOLIDDesign PatternsMicroservices

Web Developer Intern

NetSol TechnologiesLahore, PakistaninternshipMay 2025 – Jun 2025

Summary

Developed and enhanced web application modules using React.js, Node.js, Express.js, and MongoDB. Collaborated with backend teams to integrate RESTful APIs and application workflows, with emphasis on functionality and user experience.

What I did

  • Learned how scalable infrastructure works and how technologies are applied in large organizations.
React.jsNode.jsExpress.jsMongoDBRESTful APIs

Skills

Technical

TensorFlowTensorFlow
.NET
CSSCSS
PythonPython
HTMLHTML
Deep Learning
Model Generalization
Dataset Enhancement
C#C#
JavaScriptJavaScript
TypeScriptTypeScript
React.jsReact.js
AngularAngular
Node.jsNode.js
Image Processing
OpenCVOpenCV
CNNs
EfficientNet
ResNet50
AI System Evaluation
Model Evaluation
Image Classification
SQLSQL
MongoDBMongoDB
DockerDocker
OpenTelemetry
SigNoz
ELK
Data Augmentation
Ocelot
Vision Transformers
RedisRedis
KubernetesKubernetes
RabbitMQ
FlutterFlutter
LLMs
LinkedInLinkedIn
Fine-tuning
Data Preprocessing
GitHubGitHub

Languages

English
Urdu

Projects

Code Optimizer

Developerpersonal
Developed a code optimization service using Angular and .NET, supporting multiple authentication mechanisms and Redis-based caching. Containerized the application with Docker and implemented OpenTelemetry for monitoring and observability.
Angular.NETRedisDockerOpenTelemetry

Foodies - Full-Stack Food Delivery Application

Full-Stack Developerpersonal
Developed a full-stack food delivery application using the MERN stack, implementing JWT authentication, cart management, and role-based access control.
MERNJWTReactNode.jsExpress.jsMongoDB

Better Yourself - Mobile Health & Exercise Application

Mobile Developerpersonal
Developed a cross-platform mobile application using Flutter focused on exercise and wellness tracking. Implemented real-time BMI tracking, API integration, and personalized workout functionality covering 100+ exercises.
FlutterDartREST API

PlantHaven - AI-Powered Computer Vision Application

Lead Developeracademic
Developed an AI-powered computer vision application for tomato disease detection using Python, TensorFlow, and OpenCV. Performed comparative evaluation of multiple deep learning architectures, including Custom CNN, EfficientNet-B0, ResNet50, Vision Transformer (ViT), and EfficientNet-B1, analyzing their training performance, validation performance, generalization, and computational trade-offs. Improved model generalization through dataset enhancement and augmentation, including image rotation, flipping, brightness adjustment, zoom, normalization, resizing, and incorporation of external real-world images. Selected EfficientNet-B1 as the final model based on its balance of accuracy, generalization, computational efficiency, and robustness, achieving 96.6% validation accuracy. Integrated AI predictions into a full-stack application and provided automated recommendations for detected plant conditions, including remedies, fertilizers, and pesticides.
MERNPythonTensorFlowOpenCVEfficientNetResNet50Vision TransformerLlama

Education

Bachelor's in Computer Science

COMSATS University IslamabadComputer ScienceGPA 3.742021 – 2025

Societies & activities

Bronze Medalist

Recognition

Awards

Bronze Medalist

COMSATS University Islamabad2025

Awarded for academic excellence in Bachelor's in Computer Science.

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Dawood's twin is AI, it can make mistakes.

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