Lay Acheadeth

Passionate individual with expertise in software development, data mining and machine learning. Committed to continuous improvement, effective communication, and delivering valuable software products. Adaptable team player with strong task management abilities, thriving under pressure with creative and analytical thinking.

RFIDIOM | Software Engineer Intern 02/2022 – 08/2022 • Developed Authentication and CRUD API for one of their products (AspireEventware) using .Net Core Mvc 3.0. Developed an Authentication frontend using .cshthml, css. The product is an event security monitoring software. Database used is MSSQL.

BAEZENI | Backend Engineer Intern 02/2022 – 07/2022 •Developed project management API using Django Rest Framework, with continuous deployment and migration to Baezeni's internal web-app. Contributed to database design, documentation, and team meeting following scrum framework. Boosted company productivity by 20% with customized project-management tools.

Reduced delivery time for other projects by 15%.

BINUS University|Teaching Assistant 09/2020 – 06/2022 • Database system (Basic SQL query, data normalization, ERD database design, MongoDB). Create a server and user for every student so they can play around and use that database for the project if needed. Giving out task to test their knowledge and get them better prepared for exam. Help them working on their project.

• Data Structure and Algorithm (Basic data structures such as stack queue and more, sorting and searching algorithms such as uniform search, A* search, Bubble sort, Quick sort and more). Assist them in their project. Giving out task daily.

•Multimedia and human interaction (website creation using WordPress, HTML, and CSS). Give them the template which they can use to create their own portfolio.

• No failed student was recorded during my assisting period.

University of Nottingham | BSc Hons Computer Science with AI Nottingham | 09/2019 – 06/2023 • Grade: First

• Modules: Machine Learning, Computer Security, Computer Vision, Big Data Learning and Tech.
• Coursework: Machine Learning for Disease Treatment Response Prediction in Python, Imbalance multi-label classification in Pyspark, Flower classification and segmentation using convolutional neural network in Matlab
• Dissertation: Deceptive review detection using deep learning. Algorithms: CNN, LSTM, and ensemble approach. Implemented in Python using TensorFlow framework. Dataset from Kaggle with 800 deceptive and 800

truthful reviews from 20 Chicago hotels. Model tested on a sample blog website using Flask Framework.

BINUS University | BSc Computer Science Jakarta | 09/2019 – 06/2023 • Grade: 3.62

• Modules: Program Software Design, Data Structures and Algorithms, Computational Mathematic, Algorithm

Design and Analysis, Database Systems, Intelligent Systems, Pervasive Software Engineering, Cloud and

Distributed Systems, Data Science, and Web Development and Security

• Coursework: Blog web app in Python, Django, University student management system in Java and JavaSwing,

Student management system in C++ with AVL tree and hash table data structure, Maze solver using BFS and DFS (Python), Hotel booking system using JavaFX and Mysql, Hand-written text detection using Tensorflow and Python, Smart door-bell using AWS, Raspberry PI and Flask, Music player web app using AWS, Tank- shooting game (BabylonJs),and Real-estate website using Angular, HTML/CSS, and Django rest framework.