Ohidzz

About Me

Building Intelligent Systems with Code

I’m a Computer Science graduate from the University of Roehampton, London, with a strong focus on backend development and building reliable software systems. My primary experience is developing applications using Python, Django, SQL, and RESTful APIs, along with integrating backend services with mobile and web platforms.

I have experience designing scalable backend architectures, managing relational databases, and building data-driven applications. My projects include developing mobile and web applications, implementing API-based systems, and integrating AI-driven features to deliver intelligent user experiences.

Alongside software development, I have a solid understanding of networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, and basic security principles, which helps me design systems that are efficient, reliable, and secure.

I’m currently seeking opportunities as a Software Engineer where I can contribute to building scalable systems, continue learning modern technologies, and collaborate with teams solving real-world problems.

🎓 Education

BSc (Hons) Computer Science

University of Roehampton, London

2022 – 2025

International Foundation Programme (IFP)

University of Roehampton, London

2021 – 2022

Higher Secondary Certificate (HSC)

Blue Bird School & College Sylhet, Bangladesh

2016 – 2018

💻 Skills

Programming Languages

Python
Dart
HTML & CSS

Frameworks & Technologies

Flutter
Django
RESTful APIs

AI & Machine Learning

Model development
Data preprocessing
AI integration

Cybersecurity

Vulnerability assessment
Security testing
Secure coding

Tools

VS Code
Android Studio
Postman
Git & GitHub

Database Management

SQL
Database design
PostgreSQL

Software Engineering

Data structures & algorithms
Software testing
Debugging

Methodologies

Agile
Scrum
Kanban

Soft Skills

Analytical thinking
Attention to detail
Team collaboration

Download CV

My Projects

Ecogenie – AI-Driven Sustainability Recommendation App

Flutter (Dart) & Django (Python) | Group Project

Goal:

To design and build a responsive, chat-based mobile app that delivers personalized sustainability advice and product recommendations using AI, starting with a custom onboarding survey.

What I Did:

Developed a Python/Django backend powering the Ecogenie mobile application.
Designed and implemented RESTful APIs to handle user data, requests, and AI-driven recommendation responses.
Integrated the backend with a Flutter (Dart) mobile frontend to enable real-time communication and data exchange.
Built features including a personalized onboarding survey to assess user habits and generate tailored sustainability recommendations.
Designed high-fidelity UI/UX prototypes and developed the frontend using Flutter with responsive and accessible design.
Implemented an AI chat interface via REST API for sustainability tips and eco-product suggestions.
Conducted usability testing and cross-device optimization to ensure consistent performance across Android devices.

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UniMatch – Study Abroad Advisory Website

HTML & CSS | JavaScript | Solo Project

Goal:

To build a professional and responsive website for a company helping students apply to UK universities, showcasing services and improving user engagement.

What I Did:

Designed and developed a mobile-friendly UI using HTML, CSS, and JavaScript.
Created clear navigation and service sections to guide users through the process.
Integrated a live, client-facing deployment at unimatch.org.

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CIFAR-10 Image Classification – Convolutional Neural Network (CNN)

TensorFlow | Keras | Python | Solo Project

Goal:

To build and train a Convolutional Neural Network to classify 32x32 color images into 10 object categories (e.g., airplane, cat, truck) using the CIFAR-10 dataset.

What I Did:

Preprocessed the dataset with normalization and one-hot encoding for optimal model performance.
Designed a CNN with Conv2D, MaxPooling, and Dense layers for feature extraction and classification.
Implemented regularization using Dropout to prevent overfitting.
Trained and validated the model, improving accuracy through tuning architecture and epochs.
Visualized training performance and evaluated model accuracy with a confusion matrix heatmap.
Resolved library compatibility issues through version management and documentation analysis.

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Smart Vacuum Cleaner Simulation

Python | AI | Solo Project

Goal:

To simulate an AI-based smart vacuum that detects and cleans waste efficiently using pathfinding algorithms.

What I Did:

Built a grid-based simulation using Python with a text-based UI.
Implemented pathfinding logic using Manhattan distance.
Optimized performance using efficient data structures like sets and tuples.

View Project

Hi, It's Ohid

I'm a

About Me

Building Intelligent Systems with Code

🎓 Education

BSc (Hons) Computer Science

International Foundation Programme (IFP)

Higher Secondary Certificate (HSC)

💻 Skills

Programming Languages

Frameworks & Technologies

AI & Machine Learning

Cybersecurity

Tools

Database Management

Software Engineering

Methodologies

Soft Skills

My Projects

Ecogenie – AI-Driven Sustainability Recommendation App

UniMatch – Study Abroad Advisory Website

CIFAR-10 Image Classification – Convolutional Neural Network (CNN)

Smart Vacuum Cleaner Simulation

Contact Me