My name is Mustafa Harun Sendur, and I am a Computer Science and Engineering graduate from Sabanci University. I have hands-on experience in software engineering, cloud infrastructure, and data science.
I have built projects ranging from cloud-based dashboards on Azure to blockchain NFT marketplaces, and I am proficient in C, C++, Python, Java, JavaScript, and frameworks like React, Node.js, and Express.js. I am a committee member of the British Computer Society's London Central Branch, and I am passionate about building scalable, innovative software that solves real-world challenges.
July 2024 – September 2024 | London, United Kingdom
January 2023 – February 2023 | Kocaeli, Turkey
April 2022 – December 2023 | Istanbul, Turkey
Developed a Twitter bot that identifies and tweets high-value real estate properties in Istanbul, Turkey, by analysing approximately 45,000 listings using NLP and machine learning in Python.
Developed a full-stack e-commerce platform with React.js for the frontend and Flask for the backend as part of an agile team. The application allows users to browse products, purchase items, and manage their accounts through secure authentication. RESTful APIs were built using Flask and Firestore to facilitate seamless user authentication, product management, and order processing, ensuring a reliable and scalable shopping experience.
This simulation-based project replicates the core functionalities of a high-frequency trading engine. It processes mock market data, handles buy and sell orders, and matches them based on price and time priority. Designed for performance evaluation, the system offers insights into latency optimisation and operational efficiency without engaging in real financial transactions.
Developed a Python-based application that provides live updates of stock prices, price changes, and trends. Featuring a dynamic table for real-time data display, an interactive graph for visualising stock trends, and a search bar for managing tracked stocks, the project utilises tkinter for the GUI and yfinance to retrieve stock data.
Utilised user interaction data with ChatGPT to predict assignment grades through machine learning models. Implemented sentiment analysis and feature engineering techniques to analyse linguistic nuances and user engagement patterns.
Developed an analytical platform aggregating a decade's worth of football data from Europe's top leagues. The platform utilises Django REST Framework for backend operations and features interactive data visualisations using JavaScript and Charts.js.
Created a mobile application to educate users on natural disaster preparedness, featuring checklists, informational resources, and emergency contacts. Built using the Spring Framework, Java, Docker, and MongoDB for a full-stack experience.
Engineered a machine learning model to predict education indices for Turkish provinces using Python, focusing on data collection, preprocessing, and visualisation. Achieved a high predictive accuracy with an R-squared value of 0.98.
This program is a TSP (Traveling Salesman Problem) solver that uses the GRASP (Greedy Randomised Adaptive Search Procedure) algorithm with a Swap implementation. It calculates the shortest possible route that visits each city exactly once, aiming for optimisation in route finding.
kAiDB is a comprehensive database designed for the AI/ML Club of Sabanci University, aiming to streamline the management of user profiles, event scheduling, and more. It's a robust system enhancing the club's operations and member experience.
July 2022 – Present | London, United Kingdom
August 2024 – August 2024 | Remote
September 2021 – January 2022 | Istanbul, Turkey
June 2018 – June 2019 | Istanbul, Turkey
September 2018 – October 2018 | Istanbul, Turkey
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Issued by The Unitech Bilgisayar Eğitim Merkezi | February 2022