Curriculum Vitae
Bima Abizard Nurqolbi
I am a Bachelor of Computer Engineering student with a strong foundation in machine learning engineering and a passion for leveraging technology to solve real-world problems. My technical expertise spans deep learning, data analysis, and model deployment, with hands-on experience in building innovative AI solutions that enhance user experiences and drive economic empowerment.<br /> <br /> My current focus is on expanding my knowledge in advanced machine learning algorithms and cloud-based AI solutions through specialized courses and real-world projects. I also possess complementary skills in embedded systems, IoT, and full-stack development, which enable me to deliver holistic and impactful technology solutions.<br /> <br /> I am committed to lifelong learning and thrive in collaborative environments that aim to push the boundaries of innovation. I am enthusiastic about connecting with like-minded professionals and exploring opportunities to create impactful, data-driven solutions that transform industries and empower communities.<br /> <br /> Key Areas of Expertise:<br /> <br /> Machine Learning & Deep Learning<br /> Cloud-based AI Solutions<br /> Data Analysis & Model Deployment<br /> Embedded Systems & IoT Integration<br /> Full-Stack Development
Juni 2025
Universitas Diponegoro
S1 • Teknik Komputer • IPK 3.57
Juli 2023 - September 2023
Intern
Perum Perumnas • Magang
As a Frontend Developer Intern, I was responsible for assisting in the development and enhancement of user-facing features for web applications. My role focused on creating responsive, interactive, and visually appealing interfaces that provide seamless user experiences.
1. Collaborated with UI/UX designers to translate wireframes and design mockups into high-quality code.
2. Developed reusable components using HTML, CSS (Tailwind/Bootstrap), and JavaScript frameworks (e.g., React.js or Vue.js).
3. Assisted in debugging and optimizing front-end performance for better speed and scalability.
4. Participated in code reviews and team meetings using version control (Git) and agile methodologies.
5. Integrated APIs and backend services into the frontend architecture.
6. Ensured cross-browser compatibility and responsive design across devices.
Media
Februari 2023 - Desember 2023
Head of Media & Research BEM FT
BEM FT Universitas Diponegoro • Organisasi
Led the Media Development and Research Division of the Faculty of Engineering Student Executive Board, directing content strategy, data analysis, and publication efforts to support organizational communication and advocacy.
Conducted media performance reviews and social media analytics to evaluate audience engagement and optimize digital outreach initiatives based on data-driven insights.
Oversaw the creation of visual and written content, collaborating with designers and writers to ensure alignment with the organization’s values, tone, and strategic goals.
Media
Januari 2023 - Oktober 2023
Head of Division Pengembangan Manajemen Organisasi
HIMASKOM • Organisasi
Coordinated cross-departmental projects within HIMASKOM by implementing structured workflows, tracking progress, and
optimizing resource allocation to improve project delivery and team collaboration.
Februari 2022 - Desember 2022
Staff Management of Research
BEM FT • Organisasi
My role as a Research Management Staff at BEM FT Undip involved managing the 'Engineering Goes to PIMNAS (EGTP)' program. In this capacity, I closely supervised and assisted Faculty of Engineering's PKM teams throughout their journey, ensuring they were well-prepared to reach and participate in PIMNAS.
Media
Januari 2025
Bangkit Program
Google Goto Traveloka • BA24/GRAD/XXIV-01/M200B4KY0855
Bangkit is a career readiness program initiated by Google in collaboration with Indonesia's Ministry of Education, Culture, Research, and Technology. It is designed to equip university students with in-demand tech skills and soft skills to accelerate their careers in the digital industry.
As a Machine Learning cohort member, I completed over 900 hours of rigorous training covering machine learning fundamentals, deep learning, data processing, and deployment using TensorFlow. The program also emphasized practical problem-solving through a capstone project aligned with Sustainable Development Goals (SDGs).
Media
November 2024
Machine Learning Specialization
DeepLearning.AI, Stanford University • K6JJ847LE6AE
I successfully completed the non-credit online "Machine Learning Specialization" offered by Coursera and Stanford Online on November 28, 2024, gaining practical skills in supervised learning (including linear and logistic regression, neural networks, and decision trees), unsupervised learning (clustering and anomaly detection), recommender systems, and reinforcement learning, along with best practices for building machine learning models and applying them to real-world problems.
Media
November 2024
Deep Learning AI. TensorFlow Developer
DeepLearning.AI • C1GKMKW9UQH7
Completed on November 20, 2024. This program taught how to build and train neural networks using TensorFlow, improve network performance with convolutions for image identification, and develop natural language processing systems. The four courses included were: Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning; Convolutional Neural Networks in TensorFlow; Natural Language Processing in TensorFlow; and Sequences, Time Series and Prediction.
Media
Oktober 2024
Belajar Analisis Data dengan Python
Dicoding Indonesia • 07Z64V2WRPQR
I successfully completed the "Belajar Analisis Data dengan Python" (Learn Data Analysis with Python) course from Dicoding Academy. This certification is valid until October 9, 2027. The course is designed for individuals seeking to understand data analysis processes as a skill for becoming a reliable data practitioner. Upon completion, students can perform various stages of data analysis to address business challenges using Python
Media
Juli 2025
3rd Favourite Capstone Expo Group
Computer Engineering Universitas Diponegoro • Certificate3rd/CE/EXPO-PROJECT/2025
Awarded as the 3rd Favourite Capstone Expo Group for our innovative project, 'DOB (Degree of Burn) Aplikasi Cerdas untuk Analisis, Pemantauan dan Evaluasi Klinis Kalkulasi Luas Luka Bakar pada Pasien RS. Moewardi Solo,' in the Computer Engineering Capstone Expo at Undip. This recognition highlights our team's effort in developing a smart application for burn injury assessment.
Media
