Muhammad Zargham Masood

Software Engineer(Python | PostgreSQL | LLMs | AWS)

Passionate about backend development, scalable systems, LLMs, and automation. MSc in Artificial Intelligence and Robotics. Currently based in New York.

Experience

Cboe Global Markets

Sep 2024 – PresentSoftware Engineer

London Area, United Kingdom · Hybrid

Cboe Global Markets is one of the world's largest global market infrastructure and trading firms, offering equities, options, futures, and digital assets trading across multiple markets globally.

  • Designed and implemented a scalable PostgreSQL data retention system, automating cleanup of historical data and improving database performance by 4%
  • Developed a dynamic Python tool for applying retention policies across multiple environments, reducing manual intervention and increasing developer productivity by 15%
  • Automated critical daily maintenance jobs, leading to increase in database processing speeds across trading platforms

CyberPhorm

Jan 2024 – Sep 2024Python Developer

London Area, United Kingdom · Remote

Cyberphorm is a technology company specializing in cybersecurity solutions and software development.

  • Developed backend solutions using Python Django, implementing a robust MVC structure and REST framework APIs, resulting in a 40% improvement in code maintainability and scalability
  • Designed and optimized a PostgreSQL database and Django-based backend on a Hostinger VPS, improving system performance by 30% and reducing processing time by 10%
  • Led secure backend API development with Python Django, enhancing response speed by 18% and improving code maintainability and scalability by 25%

National University of Computer and Emerging Sciences

Sep 2021 – Jun 2022Research Assistant

Islamabad, Pakistan · On-site

National University of Computer and Emerging Sciences is a premier university focused on research and education in computer science and emerging technologies.

  • Implemented advanced OpenCV operations to automate and optimize the preprocessing of medical imaging datasets, reducing manual intervention and increasing processing speed by 15%
  • Conducted extensive hyperparameter tuning and model optimization for deep learning algorithms, achieving a detection accuracy of 94.6% for COVID-19 on CT scans
  • Authored and published a research paper on innovative deep learning techniques for medical image classification in IEEE, increasing research visibility and impact
  • Published Research: https://ieeexplore.ieee.org/document/9873659

Projects

BudgetBridges - AI Based Personal Finance Budgeting Project

  • Built a dynamic tax calculator supporting real-time income tax estimates for Canada, the US, and the UK with up-to-date brackets and deductions.
  • Developed an interactive budgeting tool that helps users plan expenses, track spending, and optimize savings.
  • Implemented a detailed mortgage calculator with support for interest rate changes, amortization schedules, and affordability analysis.
  • Added affordability calculators for major purchases like cars, factoring in monthly income, expenses, and loan terms.
TypeScriptReactNode.jsTailwind CSSNext.js

Plant Leaf Disease Detection System using Deep Learning and Digital Image Processing

  • Collected and preprocessed the PlantVillage dataset using digital image processing techniques (e.g., resizing, noise removal, and normalization) to enhance image quality and improve model performance.
  • Trained multiple deep learning models, including DenseNet and EfficientNet variants, to classify and detect plant leaf diseases with high precision.
  • Experimented with various training strategies—such as learning rate scheduling, data augmentation, and transfer learning—to optimize model accuracy and generalization.
  • Achieved 91% training accuracy and 77% test accuracy using EfficientNet-B5 on our selected dataset.
PythonTensorFlowKerasOpenCVEfficientNetDenseNet

Education

MSc in Machine Intelligence

University of Greenwich London | 2023 – 2024

  • Modules: Human and Machine Robotics, Machine Sensing, Securing Technologies
  • Dissertation: Indoor Air Quality Management System Using Artificial Intelligence and Internet of Things

BS in Computer Science

National University of Computer and Emerging Sciences Islamabad | 2018 - 2022

  • Modules: Artificial Intelligence, Deep Learning for Perception, and Natural Language Processing
  • Dissertation: Plant Leaf Disease Detection System using Deep Learning and Digital Image Processing

Skills

Programming Languages

PythonNext.jsSQLNoSQLC++Ruby on Rails

Frameworks

DjangoFlaskReactBootstrap

Databases

PostgreSQLMongoDBMySQL

Tools

GitVS CodeJiraJenkinsAWSVPS setup

Soft Skills

Problem SolvingCommunicationAgile MethodologyTeam Leadership

Certificates

The SQL Bootcamp

Udemy

Gained proficiency in SQL for database management and data analysis

The Git and GitHub Bootcamp

Udemy

Mastered version control with git and collaboration using GitHub

Twilio Essentials

LinkedIn

Acquired Fundamental Skills in using Twilio for communication Solutions

Research Publications

Deep Learning Models for COVID-19 Detection

IEEE | 2022

Research paper on the application of deep learning models for early detection and diagnosis of COVID-19 using medical imaging data.

Read Publication