MUHAMMAD SAAD ABDULLAH MALIK

MUHAMMAD SAAD ABDULLAH MALIK

Aspiring Software Engineer

RawalpindiBachelors
Available immediately Open to any modeSoftware & IT

Software Engineering student with experience in Cloud IT and Python development. Skilled in AI, IoT, and building impactful, real-world software solutions.

About

Software Engineering student with a strong foundation in software principles and hands-on experience through various academic projects. Skilled in developing innovative software solutions across web, mobile and AI-based platforms. Demonstrated ability to lead project teams, solve real-world problems and deliver results within deadlines. Passionate about building impactful technology, learning new tools and technologies and continuously improving through collaboration and creativity.

Skills

PythonC++C#AILLMsOpenCVTensorFlowTesseractML AlgorithmsModel TrainingIoTESP8266ESP32ArduinoEmbedded System TestingHardware DebuggingCybersecuritySide Channel AnalysisSignal and Trace AnalysisLinuxGitGitHubFirebaseSQLOracle CloudREST APIsPodmanOPCASwaggerLogic BuildingTeam LeadershipProject Management

Languages: English

Education

Bachelors in Software Engineering

Capital University of Science and Technology

Mar 2022 – Feb 2026

F.Sc in Pre-Engineering

Army Public School and College System

Aug 2019 – June 2021

Experience

IT Infrastructure and Cloud Intern · Head Office Mobilink Microfinance Bank

Aug 2025 – Sept 2025

Worked across Cloud, Infrastructure, Development, Networking and Database teams. Performed system administration, troubleshooting, and API testing.

Python Developer Intern (Hardware Team) · Common Criteria Pakistan Lab

Mar 2026 – Continued

Developed Python-based tools for automation and data analysis. Performed side-channel analysis, trace processing and pattern detection on hardware devices.

Projects

SWaT (Smart Water Tank)

IoT based device using ESP8266, Ultrasonic Sensor, Firebase and Arduino C++.

ZapFlow

A single platform for task, bugs and finance management using APIs of JIRA, BugHerd and Xero.

Threat Detection Models

Developed NLP and Machine Learning Models for SMS Spam Detection and Malicious URL Classification.

Optimal Character Recognition

OCR for English language by uploading picture or live camera detection in Python.

Object Detection using YOLOv7

Detection using YOLOv7 and other datasets by uploading picture or video or live camera detection.

Online Hotel Management

Web application using HTML, CSS, JS, PHP and SQL.

ATM System

ATM application using OOP Concepts in C++.

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