FIKRI NOTES
>> HELLO WORLD:
FIKRI MULYANA SETIAWAN
// AI RESEARCHER // DATA SCIENTIST // QUANTITATIVE ANALYST //
Chronos-BTCIDR-V1
A REST API that serve Bayesian LSTM model to forecast BTC-IDR return and quantifying its risks. Built with FastAPI. Designed for professional trader and Quantitative Analyst.
[ > VIEW PROJECT < ]Probabilistic Bayesian LSTM for Autonomous Crypto Trading
Leveraging Bayesian Deep Learning to predict cryptocurrency returns and quantifying predictive uncertainty. Developed as a Master’s Thesis research.
[ > VIEW PROJECT < ]Explainable DNN for Network Intrusion Detection
A high-performance Deep Neural Network (DNN) model for network security, integrating SHAP (Shapley Additive Explanations) to provide model transparency. Published in a Scopus Q3-indexed journal (2026).
[ > VIEW PROJECT < ]// MY STARTUP: TEMEN.IN //
Temen.in is my first ever startup. Founded in 2024, Temen.in is a digital ecosystem for student community to help them in every stage of their campus life from orientation to graduation and beyond.
Tutorial classes, the first temen.in services, gained repetitive orders from students from Andalas University. Now and in the future, Temen.in will expand to provide more services for students, such as digital tools for academic activities, past exam paper archives, and connecting all student through the platform for information transparency!
EXPLORE TEMEN.IN >>// AWARDS & MILESTONES //
First Author of Published XAI Paper in Scopus Q2 Journal (2026).
Most Outstanding Student Activist - Faculty of Mathematics and Natural Sciences, Andalas University (2024).
JuaraGCP Participant - Google Cloud Platform (2026).
Bronze Medalist of Mathematical Analysis and Geometry Day (MaG-D) XIV - Bandung Institute of Technology (2023).
University Delegates for ONMIPA Regional Level - Ministry of Education, Culture, Research, and Technology (2023).
3rd Winner at Cybertech Hackathon (FamDev Team) - State Polytechnic of Padang (2023).
Participant of National Programming Competition (Gemastik XV) - Ministry of Education, Culture, Research, and Technology (2022).
2nd Winner at Competition of Islamic Science (Physics) Regional Level - State Islamic University of Imam Bonjol Padang (2019).
2nd Winner at Physics Competition Regional Level - SMAN 1 2x11 Enam Lingkung (2019).
// ACTIVITY & EXPERIENCE //
AI Trainer at DataAnnotation.tech (2026 - Present).
Founder & Operations Lead of Temen.in Platform (2023 - Present).
Head of Development and Maintenance Division at MathDaSc Laboratory, Andalas University (2023 - 2025).
Teaching Assistant at Department of Mathematics and Data Science, Andalas University (2023 - 2025).
Invited Jury at Pekan Seni Bermatematika (PSB) by Mathematics Student Association, Andalas University (2025).
Fullstack Web Developer at Department of Mathematics and Data Science, Andalas University (2023).
Freelance Logo Designer at Fiverr (2022 - Present).
Featured Guest Speaker at BEM FMIPA Unand Podcast - Business Series (2024).
Initiator & Lead Instructor of Initated Semester-long Coding Bootcamp for Undergraduates Student at Mathematics Department (2024).
LOGS: MY PROGRAMMING JOURNEY
Became interested in programming during 10th grade of high school due to an ICT class that introduced the Pascal programming language.
Learned Pascal independently and created several simple applications, such as a number guessing game, arithmetic programs, and more.
Started self-learning Python from websites and books while preparing for physics olympiads.
Learned the basics of web development (HTML and CSS) through Khan Academy and published the first version of my personal website on GitHub Pages.
Improved the structure and design of the previous website with more complex CSS styling. Learned JavaScript and implemented it by developing various projects. Simultaneously explored Graphical User Interface development in Python using the Tkinter library.
Learned the Java programming language and completed programming challenges on online platforms such as CodeWars, Project Euler, etc.
Developed an interest in Data Science, learning R and Python for statistical analysis, developing Machine Learning & Deep Learning models, and utilizing Explainable AI (XAI) techniques.
Learned the fundamentals of cryptocurrency, blockchain, and Web3. Built my first Decentralized App (DApp) project using Solidity and Ethereum.