🎐 Hi, I am a computer science engineer originated from Indonesia and South Korea. Primarily specializes at artificial intelligence and embedded systems.
🎓 I am an undergraduate Computer Science and Engineering (CSE) student at Seoul National University, currently expected to graduate in early 2026.
📚 I plan to pursue graduate studies in Computer Science (CS) at the University of Tokyo starting around 2027, with a focus towards advanced systems, intelligence research, and theoretical foundations.
💡 My primary technical focus areas include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Neural Networks, Embedded Systems, Automata Theory, Computer Architecture, and System Programming — bridging low-level high-performance computing with high-level cognitive models.
🏢 My ultimate goal is to create a tech based startup firm in Japan, South Korea, Indonesia and the U.S. related to either machine learning, computer vision, robotics, or real-time and embedded systems. However, primary focus is to incorporate a hardware/software co-design that is practical in various fields such as AI, medicine or farming.
📷 Aside from programming, I enjoyed doing photography, travelling, cafe hopping, shopping, cooking, listening to music, watching movies and working out at the gym.
🔭 Currently, I am developing as follows: Customized "DRMAT" Memory Systems (C/C++), Facial Emotion Recognition (Python/OpenCV), and Multimodal "Scent" AI (Notebook/HuggingFace)
⚙️ My research interests mainly lies within Machine Learning, Memory Systems, Embedded Systems, Computer Vision, and Robotics
🌿 I am planning to further explore on Compiler Design, Real-Time Systems, and Hardware-Software Co-Design
💬 Ask me about: AI, Machine Learning, Deep Learning, System Programming, Computer Vision or Embedded Systems
🗣️ I am also multilingual in these languages: English, Bahasa Indonesia, Korean, Japanese, Chinese (Slightly), and German (Slightly).
📫 Reach me at: flamablesrizky@gmail.com
-grey?logo=nvidia&logoColor=white){kind=icon}
-
⚖️ Synthesized Training Pipeline DSL Compiler (SyntraLine++)
Domain specific language (DSL) based compiler for defining, validating and executing advanced machine learning training pipelines.
Tech: C++, Python, CNN, MLP, Concurrency
Field: Compiler Design, System Programming, Computer Architecture, Artificial Intelligence -
💾 Policy Indexed Contiguous Allocation System (PICAS)
Customized policy driven and phase aware layered memory allocator with tracing, safety fallbacks and sanitizer-tested builds.
Tech: C++, Sanitizers, Multithreading, Memory, Concurrency
Field: Memory System, Computer Architecture, System Programming, Hardware/Software Co-Design -
📹 Vision Fusion Real Time System (VFRT)
Real-time retrieval multimodial AI based demo that allows a visual input such as a webcam into a CLIP-powered object recognizer with a small, yet sufficient self-growing memory and adjustable text-prototype fusion.
Tech: Python, HuggingFace, RAG, OpenCV, Streamlit
Field: Computer Vision, Real-Time System, Machine Learning, Artificial Intelligence -
🎼 Ambientor DSP-Based Real-Time Engine
Cross-platform multithreaded real-time ambient sound engine built with Rust, C++, Python bindings, and SIMD-accelerated DSP—designed as a compact laboratory for systems-level audio synthesis and low-latency performance research.
Tech: Rust, C++, Assembly, SIMD, Python, DSP, Multithreading, FFI
Field: System Programming, Digital Signal Processing, Real-Time System, Audio Engineering -
🧠 Dynamic Integrated Memory Cross Allocation (DIMCA)
Customized dynamic memory allocator which optimizes the distribution of data dynamically across multi-level memory pools.
Tech: C, Assembly, Multithreading, Memory, Concurrency
Field: Memory System, Computer Architecture, System Programming, Operating System -
🔬 Byte Bistro UDP-Based Transport Protocols
UDP-based transport protocol research system implementing and comparing Go-Back-N and Selective Repeat with loss, duplication, reordering, delay, and rate control channel simulation.
Tech: C, Assembly, Networks, Selective Repeat, Go-Back-N
Field: Computer Network, Data Communication, System Programming, Embedded System -
🗣️ Politeness Rewriter T5-Based System
Classifier-guided style transfer for text politeness rewriting using a combination of transformer-based classifiers and controlled text generation.
Tech: Python, Jupyter, HuggingFace, T5, BART, Transformers
Field: Natural Language Proessing, Deep Learning, Machine Learning, Artificial Intelligence
These are the list of courses that I have taken during my time as an undergraduate CSE student at Seoul National University, South Korea.
📘 Major Requisite Courses
- Computer Programming
- Data Structure
- Discrete Math
- Logic Design
- Algorithms
- Computer Architecture
- Electrical and Electronic Circuits
- System Programming
- Principles & Practice of Software Development
- Creative Integrated Design
📙 Major Elective Courses
- Machine Learning
- Deep Learning
- Computer Vision
- Computer Graphics
- Programming Language
- Natural Language Processing
- Computer Convergence Applications
- Data Communication
- Internet Security and Privacy
- Blockchain Development
- Language and Computer
- IT Leadership
- Technology Startup
- Computing Overview
📗 Liberal Arts & Science Courses
Mathematics:
- Calculus 1, 2
- Calculus Practice 1, 2
- Engineering Math 1, 2
- Statistics
- Statistics Lab
Natural Sciences:
- Physics 1, 2
- Physics Lab 1, 2
- Biology 1
- Biology Lab 1
Language and Writing
- Advanced English: Presentation
- College Writing 1, 2
Commputing Foundations:
- Digital Computer Concept and Practice
- Logic and Reasoning
Humanities:
- Introduction to Psychology
- Principles of Accounting
- Buddhism Philosophy
- Modern Society & Global Language
- Veritas I: Innovation
- Reading in Anglo-American
- 🇺🇸 English — Native/Fluent
- 🇮🇩 Indonesian — Native/Fluent
- 🇰🇷 Korean — Advanced/Intermediate
- 🇯🇵 Japanese — Fluent/Advanced
- 🇨🇳 Chinese — Intermediate/Basic
- 🇩🇪 German — Basic
| Domain | Proficiency | Notes |
|---|---|---|
| Machine Learning | ⭐⭐⭐⭐⭐ | CNN, RNN, LSTM, CLIP, Transformers |
| Deep Learning | ⭐⭐⭐⭐☆ | PyTorch, Vision Transformers, GANs |
| Computer Vision | ⭐⭐⭐⭐⭐ | FER, real-time inference, CLIP-based retrieval |
| Memory Systems | ⭐⭐⭐⭐⭐ | DRMAT, DIMCA, allocators, concurrency |
| Embedded/Robotics | ⭐⭐⭐⭐☆ | Arduino, Raspberry Pi, FPGA, sensors |
| Networks | ⭐⭐⭐⭐☆ | Go-Back-N, Selective Repeat, UDP simulation |
| Compiler Systems | ⭐⭐⭐⭐☆ | DSL custom compiler, IR design, Python training integration |
- 🎓 Preparing UTokyo CS graduate school portfolio
- 🔬 Deploying a real-time scent based AI multimodal prototype system
- 🚀 Customized DRMAT memory system completion
- 🌐 Robotics simulation engine via C++ or Rust
- 📊 Completed a multi-user real-time Facial Emotion Recognition customized system for undergraduate thesis.
- 🧠 Designed customized memory systems (DIMCA, PICAS, DRMAT) with multiple advanced sub-models in development.
- 🔧 Built various large-scale research-grade projects within the scope of AI, memory management, compilers, vision, networks.
- 🏫 Accepted into Seoul National University CSE undergraduate program (top program in South Korea).
- 💡 Created full-stack AI and hardware based systems for engineering portfolio during undergraduate years.
“Trust your process. You have been doing amazing.”
