Curriculum Vitae

Fadhel Hariz Dzulfikar
Saya adalah seorang Research Engineer dengan pengalaman luas di bidang quantum computing, komunikasi semantik, dan integrasi Large Language Models (LLMs). Mahir dalam Python, PyTorch, TensorFlow, dan Hugging Face, serta memiliki keahlian di generative AI, fine-tuning, dan Retrieval-Augmented Generation (RAG) untuk pengembangan chatbot dan sistem AI. Saya tertarik pada peran sebagai Machine Learning Engineer atau Artificial Intelligence Engineer, khususnya di bidang generative AI.
Januari 2024
Kyung Hee University
S2 • Information Engineering • IPK 3.85
April 2020
Institut Teknologi Bandung
S1 • Electrical Engineering • IPK 3.08
Maret 2022 - Agustus 2024
Research Engineer
CQILAB • Full Time
• Conducted research in quantum computing and communication, integrating solutions with IBM framework.
• Worked extensively with computer vision such as segmentation, recognition, and semantics.
• Incorporated Large Language Models (LLMs) to a semantic communication framework.
• Teaching Assistant, Probability and Statistics Course for Undergraduates at Kyung Hee University.
o Developed exam and homework solutions, as well as supervised and proctored exams.
Mei 2021 - Februari 2022
System Engineer
PT Len Industri (Persero) • Full Time
• Analyzed, designed, and enhanced integrated navigation and combat systems including Command and Control frameworks for Indonesia’s Ministry of Defense.
• Served as the primary liaison between internal cross-functional teams and external defense contractors.
o Coordinated with Thales and MBDA for advanced combat system integration including missile upgrade and GPS jammer installation.
o Coordinated with OSI Maritime Systems for navigation system technologies (GPS, radar, gyro system).
• Prepared and presented comprehensive technical specifications, progress reports, and outcome analyses to military stakeholders, facilitating data-driven decisions and continuous improvement efforts.
• Implemented a proactive inspection framework to identify potential enhancement opportunities for navigation and combat systems, guiding iterative improvements and long-term upgrade strategies.
September 2022
Deep Learning
Coursera • ZWM6K2YTU5NP
- Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
- Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow
- Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data
- Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering
Agustus 2022
Qiskit Global Summer School 2022 - Quantum Excellence
IBM • 42e15df7-a8e4-4f39-b3c2-1aa9322be1d9
This credential earner has developed the skills and know-how to explore the world of quantum computing and its applications with a focus on quantum simulations using NISQ hardware. Through completion of intensive hands-on labs, they have gained significant knowledge and skill in quantum computation, using the physics, math, and python skills required to model a molecule using Qiskit.
Juli 2020
IBM AI Engineering Specialization
Coursera • LUYPT8ENVDE8
- Describe machine learning, deep learning, neural networks, and ML algorithms like classification, regression, clustering, and dimensional reduction.
- Implement supervised and unsupervised machine learning models using SciPy and ScikitLearn.
- Deploy machine learning algorithms and pipelines on Apache Spark
- Build deep learning models and neural networks using Keras, PyTorch, and TensorFlow
Maret 2020
IBM Data Science Specialization
Coursera • ZFSN5A6JB99G
- Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles
- Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL
- Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines
- Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers