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Emmanuel Daniel Widhiarto
Jakarta, Indonesia
I am a Business Information Technology student with a strong focus on Mobile Development, Front-End, and Back-End technologies, complemented by skills in Data Analysis and Machine Learning. Currently, I work as a Software Laboratory Assistant at BINUS University, where I teach and mentor students in programming and technical concepts, achieving a 95% satisfaction rate based on student feedback. My technical background spans building mobile apps, designing front-end interfaces, developing back-end systems, and analyzing data to uncover insights. Recently, in the Bangkit Academy Machine Learning Cohort (a Google-led program), I gained hands-on experience in TensorFlow, deep learning, and data analysis, applying these skills to real-world projects with measurable impact. Key Skills: Mobile Development: Skilled in Kotlin and Android app development, with experience in integrating Firebase for mobile solutions. Front-End: Proficient in HTML, CSS, JavaScript, and frameworks like React (TypeScript). Back-End: Experienced in developing back-end systems using Go and Java, with a strong foundation in database management (MySQL). Data Analysis: Proficient in data analysis techniques and tools, with experience using Python and SQL to derive insights from data. Machine Learning: Hands-on experience with TensorFlow, focusing on neural networks (ANN, CNN) and generative AI. I’m passionate about using technology and data to solve real-world problems and am eager to contribute my skills in mobile development, web technologies, and data analysis to a dynamic, innovative team. I look forward to connecting with other tech professionals and exploring new opportunities in the tech and finance sectors.
CodersRank Score
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This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
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930.7
CodersRank Rank
Top 1%
Top 50
Kotlin
Developer
Indonesia
Top 50
Laravel
Developer
Indonesia
Top 5
Rust
Developer
Indonesia
Highest experience points: 0 points,
0 activities in the last year
PHP
135.4
exp.
JSON
165
exp.
Kotlin
32.6
exp.
TypeScript
122.9
exp.
JavaScript
87.9
exp.
CSS
98.8
exp.
Batchfile
14.9
exp.
HTML
20.7
exp.
C++
23.5
exp.
Python
23.6
exp.
Dart
20.5
exp.
Rust
39.4
exp.
Vue
32.6
exp.
Go
24.3
exp.
Java
19.7
exp.
SCSS
9.5
exp.
List your work history, including any contracts or internships
Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka
Feb 2024 - Jul 2024 (5 months)
Machine Learning Cohort
Capstone Project: Developed Lingu, a mobile application designed to support Mandarin Chinese learners in mastering Hanzi characters. Created using Kotlin and integrated with Firebase Auth and TFLite, Lingu enables users to practice Hanzi writing on a digital canvas, providing immediate scoring feedback with 90% accuracy. This application addresses a significant need in language learning by offering personalized, interactive feedback that enhances users' writing accuracy and overall language acquisition experience.
Gained hands-on experience and applied comprehensive knowledge in deep learning algorithms (ANN, CNN) through real-world projects, achieving practical proficiency in model design and implementation.
Explored and implemented generative AI principles through practical projects, successfully creating an image generation model and optimizing it by 20% for better accuracy and speed.
Led and completed additional projects focused on predictive modeling and data analysis, improving classification accuracy by 25% and demonstrating real-world applications in sectors such as e-commerce and healthcare.
Collaborated with a cross-functional team to design and deploy machine learning solutions, enhancing team productivity by 15% through effective coordination and shared problem-solving strategies.
Gained hands-on experience and applied comprehensive knowledge in deep learning algorithms (ANN, CNN) through real-world projects, achieving practical proficiency in model design and implementation.
Explored and implemented generative AI principles through practical projects, successfully creating an image generation model and optimizing it by 20% for better accuracy and speed.
Led and completed additional projects focused on predictive modeling and data analysis, improving classification accuracy by 25% and demonstrating real-world applications in sectors such as e-commerce and healthcare.
Collaborated with a cross-functional team to design and deploy machine learning solutions, enhancing team productivity by 15% through effective coordination and shared problem-solving strategies.
BINUS University
2 years 8 months
Junior Laboratory Assistant
Mar 2023 - Nov 2024 (1 year 8 months)
Teaching & Mentoring: Delivered instruction and mentorship to over 200 students in foundational and advanced courses, including Intro to Programming in C, Java, Python, Web Development, Mobile Development, Network, and Object Oriented Programming Achieved a 95% student satisfaction rate in feedback questionnaires, reflecting high levels of engagement and understanding.
Assessment Development: Designed and developed quizzes, exams, and project cases, ensuring alignment with course standards. These assessments contributed to a 15% improvement in average student scores, enhancing learning outcomes and comprehension.
New Assistant Training: Led training sessions for New Assistant Requirements (NAR), conducting pre-training, presentations, and interviews. Oversaw candidate evaluations and provided feedback, achieving an 85% pass rate among new assistants.
Content Creation: Developed video-based learning resources in response to student preferences for more dynamic learning tools. These resources increased engagement by 25% and provided students with accessible, effective supplementary learning materials.
Technical Support: Provided technical support for laboratory PCs, troubleshooting and resolving hardware and software issues to ensure smooth operation during class sessions. Maintained system readiness, minimizing downtime and enhancing the learning environment.
Assessment Development: Designed and developed quizzes, exams, and project cases, ensuring alignment with course standards. These assessments contributed to a 15% improvement in average student scores, enhancing learning outcomes and comprehension.
New Assistant Training: Led training sessions for New Assistant Requirements (NAR), conducting pre-training, presentations, and interviews. Oversaw candidate evaluations and provided feedback, achieving an 85% pass rate among new assistants.
Content Creation: Developed video-based learning resources in response to student preferences for more dynamic learning tools. These resources increased engagement by 25% and provided students with accessible, effective supplementary learning materials.
Technical Support: Provided technical support for laboratory PCs, troubleshooting and resolving hardware and software issues to ensure smooth operation during class sessions. Maintained system readiness, minimizing downtime and enhancing the learning environment.
Laboratory Assistant
Feb 2022 - Feb 2023 (1 year)
Teaching & Course Assistance: Provided part-time instructional support in courses like Introduction to Programming (Java) and Algorithms (C). Assisted in improving student comprehension through hands-on exercises and interactive sessions.
Assessment & Evaluation: Created quizzes, exams, and projects, providing constructive feedback that supported a 10% improvement in student performance.
Project Support: Assisted students with projects across programming, web development, and database management, offering guidance on problem-solving and foundational coding practices.
Assessment & Evaluation: Created quizzes, exams, and projects, providing constructive feedback that supported a 10% improvement in student performance.
Project Support: Assisted students with projects across programming, web development, and database management, offering guidance on problem-solving and foundational coding practices.
Add some compelling projects here to demonstrate your experience
Lingu
Mar 2024 - Jun 2024
Lingu is a mobile application designed to support Mandarin Chinese learners in mastering Hanzi characters, particularly in writing and recognition. Created as part of a capstone project for the Bangkit Academy (a Google-led program), Lingu addresses the need for effective, interactive language learning tools by providing real-time feedback and personalized scoring for Hanzi writing.
Key Features:
- Interactive Writing Practice: Users can practice Hanzi characters on a digital canvas, receiving immediate scoring feedback.
- Personalized Learning: The app provides real-time, individualized feedback, helping learners improve writing accuracy and retention.
- User Authentication: Integrated with Firebase Auth for secure user management and personalized experience.
Technologies Used:
- Programming Language: Kotlin
- Machine Learning Model: TensorFlow Lite (TFLite) for handwriting recognition, with an accuracy rate of 90% in Hanzi assessment.
- Backend & Data Management: Firebase Auth and Firebase Database for user authentication and data storage.
Impact: Lingu enhances the Mandarin learning experience by providing a convenient, engaging tool that allows learners to practice and receive feedback anytime. Small language institutions can also use Lingu to support students, even with limited teaching resources, making it an invaluable asset in the language learning process.
Key Features:
- Interactive Writing Practice: Users can practice Hanzi characters on a digital canvas, receiving immediate scoring feedback.
- Personalized Learning: The app provides real-time, individualized feedback, helping learners improve writing accuracy and retention.
- User Authentication: Integrated with Firebase Auth for secure user management and personalized experience.
Technologies Used:
- Programming Language: Kotlin
- Machine Learning Model: TensorFlow Lite (TFLite) for handwriting recognition, with an accuracy rate of 90% in Hanzi assessment.
- Backend & Data Management: Firebase Auth and Firebase Database for user authentication and data storage.
Impact: Lingu enhances the Mandarin learning experience by providing a convenient, engaging tool that allows learners to practice and receive feedback anytime. Small language institutions can also use Lingu to support students, even with limited teaching resources, making it an invaluable asset in the language learning process.
This section lets you add any degrees or diplomas you have earned.
BINUS University
Bachelor's degree, Business Information Technology
Jan 2021 - Dec 2025
Selected as a Full-Time Software Laboratory Assistant due to strong technical skills and instructional abilities, teaching programming and technical concepts to over 200 students.
Served as a Scholarship Mentor, providing academic support and tutoring to over 10 students, significantly improving their academic outcomes.
Served as a Scholarship Mentor, providing academic support and tutoring to over 10 students, significantly improving their academic outcomes.
Marsudirini Bekasi
High School Diploma, Science
Jan 2018 - Dec 2021
Google Technical Support Fundamentals
Aug 2021
Teori Dasar Algoritma dan Pemrograman untuk Pemula - Seri 1
Aug 2021
PesonaEdu Desain Graphic and Web Design Course
Jun 2019