Mochammad Aden Taftazani

Electronics (Product) Engineer @ PT TEC Indonesia

About

I am an Electrical Engineering graduate from Universitas Brawijaya, driven by a deep-seated passion for utilizing technology and education as catalysts for positive societal transformation. Through programs like Bangkit, I gained hands-on experience in machine learning, leading projects like 'Calowry' to promote healthier lifestyles. My internship at Unilever further honed my skills, where I applied my engineering expertise to contribute to the digitalization of manufacturing processes by integrating Automated Guided Vehicles (AGVs). My diverse experiences, including Assistant Coordinator at Electronics Laboratory, have equipped me with essential skills in people management, teamwork, leadership, and public speaking. These experiences have solidified my commitment as a purpose-driven individual with a passion for technology, education, and societal impact. I am committed to continuous learning, fostering innovation, and actively seeking opportunities to make a meaningful difference for the world.

Country

Indonesia

City

Surabaya

Industry

Consumer Goods

Skill

Electrical Design, Electrical Wiring, Hardware, Raspberry Pi, Ubuntu, Project Management, People Management, Engineering Management, Project Design, Teaching, Machine Learning Algorithms, Python (Programming Language), Deep Learning, TensorFlow, Convolutional Neural Networks (CNN), Supervised Learning, Neural Networks, Machine Learning, Electronics, Long Short-term Memory (LSTM)

Experience

Electronics (Product) Engineer

PT TEC Indonesia

2024-11 - Present · 1 yr 10 mos

Batam, Riau Islands, Indonesia

Laboratory Assistant

Electronics Laboratory of Universitas Brawijaya

2022-3 - 2024-5 · 2 yrs 3 mos

Malang, East Java, Indonesia

● Taught more than 10 sessions of electronics experiments in one semester ● Managed the teaching and assessment of more than 30 students in one semester to complete their practicum in the electronics subject ● Actively participated in the day-to-day management of the laboratory, including administrative work and research

Software Engineer

Brawijaya Aeronautics Workshop

2021-9 - 2024-5 · 2 yrs 9 mos

Focused on Unmanned Aerial Vehicle (UAV), Autonomous Underwater Vehicle (AUV), and Unmanned Surface Vehicle (USV) research and development. ● Led 6 software engineers in accomplishing UAV (Unmanned Aerial Vehicle) and AUV (Autonomous Underwater Vehicle) project progress tracks and goals. ● Provided learning materials on UAV development focusing on software implementation. [language used: Python] ● Developed an image processing program using color and object detection to complete the package-dropping mission of the UAV. [language used: Python]

Electrical Project Engineer

Unilever

2023-7 - 2023-9 · 3 mos

Surabaya, East Java, Indonesia

● Actively engaged in an innovative project under the guidance of the Project Manager and direct mentorship from a Project Engineer, contributing to the factory's digitalization by implementing Automated Guided Vehicles (AGVs) to enhance production workflows and operational efficiencies within the manufacturing facilities ● Developed the concept for AGV implementation, including the design of flow algorithms (sensor usage, activation/deactivation protocols) to ensure precise and secure movement within the production processes. ● Assisted in the selection and documentation of essential electrical components for AGV implementation, creating comprehensive input-output lists (I/O), and also supervising their installation. ● Designed electrical pathways for wiring all components related to AGVs, such as servers, Wi-Fi, PLC, sensor, and power supply components ● Designed network topology to ensure seamless communication between servers, PLC systems, Wi-Fi networks, and AGVs.

Machine Learning Engineer

Bangkit led by Google, Goto, and Traveloka

2023-2 - 2023-7 · 6 mos

● Focused on Machine Learning Path ● Entire program conducted in English, demonstrating proficiency in professional communication and technical terminology ● Developed a capstone project named "Calowry," addressing a significant healthcare problem through innovative solutions. ● Collaborated with an interdisciplinary group of peers and received mentoring from experienced industry mentors Calowry - Capstone Project: A machine learning-powered mobile app that simplifies calorie and nutrition tracking by recognizing different meals and providing daily, weekly, and monthly intake reports. Repository link: https://github.com/Calowry/Machine-Learning Key Responsibilities: ● Collected datasets about 22 different classes of food ● Utilized the pre-trained InceptionV3 weights and added a unique dense layer at the end to serve as the classifier of different foods, achieving an accuracy nearing 96.93% ● Converted the model into TFLite ● Deployed the model into Android devices with the Android developer team collaboratively