Software Engineering — with a rich synthesis of web development, mobile applications and emerging technologies.

Aurangzaib Malik

Software Engineer with a rich synthesis of web development, mobile applications, and machine learning. Currently building scalable UI components and cross-platform mobile experiences at Saibbyweb.

Driven by a deep commitment to clean, performant code, I define technical challenges and translate them into production-ready solutions. I explore modern technologies with a pragmatic, hands-on mentality — researching best practices proactively, building reusable architectures, and improving code efficiency through collaboration and rigorous code reviews.

Short CV

With a background spanning frontend development, cross-platform mobile apps, and machine learning, I have worked with modern tech stacks, collaborative teams, and complex problem domains that push the boundaries of what software can achieve.

Find regular updates and work-in-progress on my LinkedIn profile.

LinkedIn CV GitHub

Experience —

Saibbyweb

Software Engineer / Srinagar, J&K

Jun 2025 – Present

“Building responsive, scalable interfaces and cross-platform mobile experiences that push code reusability and performance forward.”

Built responsive and scalable UI components using React, React Native, TypeScript, Tailwind CSS, Styled-Components, and Next.js, improving code reusability by 30%.

Developed cross-platform mobile applications using React Native with reusable components, smooth navigation, and optimized performance for Android and iOS.

Researched and applied Next.js App Router, GraphQL, Tailwind JIT, and React Native best practices, collaborating via pair programming and code reviews to improve code efficiency by 15% and reduce bugs by 20%.

Utilized Git/GitHub for version control, managing commits and 20 branches with structured pull-request reviews.

Projects —

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89% Accuracy · 0.91 AUC-ROC

Predictive Model for Problematic Internet Use

Jan 2025 – May 2025

ML framework to classify Problematic Internet Use (PIU) severity using the Healthy Brain Network dataset with 89% accuracy.

PythonScikit-learnRandom ForestSVM

99%+ Detection Accuracy

Credit Card Fraud Detection System

Jul 2024 – Nov 2024

Robust fraud detection model using machine learning algorithms targeting 99%+ detection accuracy with reduced false positives.

PythonRandom ForestDecision TreeScikit-learn

95% Accuracy · 20% Faster

Language Translator

Nov 2023

Tkinter-based translation app using Google Translate API with real-time multilingual translation at 95% accuracy.

PythonTkinterGoogle Translate APIAsync

<50ms Latency · 99.9% Uptime

GUI Based Chat Server

Nov 2023

Python GUI chat server with Tkinter, Socket.io, and WebSocket supporting 100 concurrent users with sub-50ms latency.

PythonTkinterWebSocketJWT

90%+ Accuracy · 15% Improvement

Driver Drowsiness Detection

May 2023

Real-time drowsiness detection system using Python, OpenCV, and Dlib achieving 90%+ blink detection accuracy.

PythonOpenCVDlibComputer Vision

Skills & Technologies

Languages

Python · JavaScript · TypeScript · C · C++ · HTML5 · CSS3 · SQL · Git

Frameworks & Libraries

React · React Native · Next.js · Tailwind CSS · Styled-Components · NumPy · Scikit-learn

Cloud & DevOps

AWS · Docker · Netlify · CI/CD · GitHub · Linux

Specializations

Machine Learning · GraphQL · REST API · OOP · Web Development · Mobile App Development · Frontend Development · Agile · Scrum · Jira · SDLC

Certifications

Machine Learning: Regression

University of Washington · May 2024

Supervised Machine Learning: Regression and Classification

Stanford University · Nov 2023

AWS Academy Graduate – ML Foundations

AWS Academy · April 2023

Aurangzaib is available for project collaborations and full-stack development engagements.

As an engineer, he brings expertise in React, Next.js, and React Native development, and shares his perspective on the Future of Software Engineering with a focus on machine learning and emerging technologies.

Let's talk!

Connect and define the future of technology and software — together.

aurangzaibmlk321@gmail.com

LinkedIn GitHub