CV

Below is my CV that I rarely update. Publication include on-going task. Newest pdf version available upon request.

Basics

Name Eryawan Presma Yulianrifat
Label Build AI & High Perf Computing | 2nd National Data Mining | Silver Medalist IDN NOI | ICPC Regional Finalist
Email zazaneryawan@gmail.com
Url https://linkedin.com/in/eryawan-presma-yulianrifat
Summary Computer Science student with research interests in Language Models, Reinforcement Learning, and makes Machine Learn. Active in research, competitions, and AI development. Strong background in competitive programming and data science, boasting 4 years of 30-ist competition with significant Regional & National scale achievements.

Education

  • 2022.07 - 2025.12

    Indonesia

    Bachelor's Degree
    Universitas Indonesia
    Computer Science
    • Data Structure & Algorithm, Algorithm analysis
    • Machine Reinforcement Learning, Deep Learning
    • Statistic and Probability, Information Retrieval
    • Linear Algebra, Calculus, Discrete Mathematics

Publications

Awards

  • 2024.09.01
    2nd Winner - Gemastik Data Mining
    Ministry of Education, Culture, Research, and Technology
    Advanced through preliminary rounds with a research paper titled 'Exploring Indonesiaon Consumer Health Question Answering utilizing Active Multi Retrieval', dominated the leaderboard in ordinal regression for university tuition cost optimization.
  • 2021
    Silver Medal - Indonesian National Olympiad in Informatics
    Ministry of Education, Culture, Research, and Technology
    Secured 8th place in Indonesia's biggest high school competition, earning a direct admission to Universitas Indonesia without any test.
  • 2024.04.01
    Finalist - Smart Logistics Datathon
    The Chinese University of Hong Kong
    Competed against Asia's best universities in a 36-hour datathon addressing Hong Kong logistics challenges with theoretical and computational solutions.
  • 2023.11.01
    Rank 15 - ICPC Regional Asia Jakarta
    International Collegiate Programming Contest (ICPC)
    Solved 13 algorithmic and mathematical problems under time pressure representing university-level programming excellence.
  • 2023.11.01
    Finalist - ICPC Regional Asia Jakarta
    International Collegiate Programming Contest (ICPC)
    Competed in world-level algorithmic and mathematical problems in one of Asia's most prestigious programming competitions.
  • 2023.10.01
    1st Winner - InnovationQuest
    Airlangga University
    Developed 'Road Damage Level Detection' using multimodal text and image fusion, combining YOLO, ResNet, BERT, and CatBoost.
  • 2023.10.01
    3rd Winner - Dataquest
    Airlangga University
    Developed time series rainfall prediction and solved an OCR task related to medicine, securing 2nd in prelims and 3rd in finals.
  • 2023.09.01
    Semi-finalist - Satria Data Competition
    Ministry of Education, Culture, Research, and Technology
    Built Indonesian NLI models trained on translated datasets using distributed cloud training to predict legal harmony in constitution documents.
  • 2023.02.01
    2nd Winner - Datavidia
    Bandung Institute of Technology
    Developed a hybrid FCN-LSTM rainfall prediction model and designed an efficient earthquake early warning system.
  • 2021.12.01
    3rd Winner - ILPC (Informatics Logical Programming Competition)
    UBAYA University
    Excelled in logic and discrete mathematics challenges and teamwork-based coding games in final stage.
  • 2021.09.01
    5th Winner - Informatics Olympiad (IO)
    Jember University
    Solved theoretical computer science problems covering discrete mathematics, logic, and graph theory.

Skills

Data Science
Machine Learning
Deep Learning
Time Series Forecasting
Data Mining, Analysis, and Visualization
Applied Statistics : Hypothesis & A/B Testing
Competitive Programming, Algorithm & Data Structure
C++
Time & Memory Analysis
Discrete Mathematics Analysis
Algorithm Design & Proof
Advanced Data Structure such as Lazy Segmentree, Sparse Table, and LCA
Natural Language Processing
Large Language Models (LLM)
Information Retrieval
Generative Language Models
LM and RL from Human Feedback (RLHF) and Verifiable Reward (RLVR)
transformers library
Reinforcement Learning
Hacking Stable Baselines3, gymnasium, and tianshou
Classic Offline Dynamic Programming RL
Policy Gradient Methods (DQN, TPRO, PPO, GPRO)
Computer Vision
Image Processing (Filtering, Transformation, Segmentation)
Object Detection & Image Classification
Optical Character Recognition (OCR)
Programming, Systems & Infrastructure
Python, Type Script & Java Script
Linux & Shell Scripting
High Performance Computing on cloud (HPC)
Distributed Training
Mathematics
Discrete Mathematics & Proofs
Calculus & Vector Calculus
Linear Algebra
Statistics, Probability, and Information Theory
Stochastic Process, Markov Decision Process, and Game Theory

References

Alfan Farizki Wicaksono, S.T., M.Sc., Ph.D.
Direct Supervisor. Research (Faculty - Asst Prof & Above), NLP Researcher Lab & Head of Computer Science Major at Universitas Indonesia
Prof. Haryadi Gunawi
Research Mentor. Professor at the Department of Computer Science, University of Chicago

Projects

  • 2023.01 - 2023.12
    Contextual Modeling: Racism in Text Identification
    Natural language processing model that predicts whether a given reply to a given context is racist. Research is mainly focused on developing a model that could understand context. Results show our technique could use context in some cases using a certain representation.
  • 2023.01 - 2023.12
    Optical Character Recognition for Medicine
    Computer Vision approach to obtain medicine’s name from an arbitrary perspective of a medicine. Utilizing image processing to create a deep learning model pipeline that generalizes better over perspective, rotation, warping, and color to adapt better on new image data points.
  • 2023.01 - 2023.12
    Indo NLI XLMR Base Fine-tune
    Natural Language Inference (NLI) entails determining if two statements contradict, are neutral, or entail each other. The XLMR Base model was fine-tuned using a vast dataset of 4 million translated texts. To optimize training on this large dataset, employing multiple techniques, including data parallelization, gradient accumulation, gradient checkpointing, and NVIDIA mixed precision is a must. Trained on 2 RTX 6000 GPUs on cloud computer. Outperforms others on key datasets.
  • 2022.01 - 2023.12
    Personal Stock Analytics
    Using LSTM to analyze price changes. Combine with sentiment analytics scraped from social media. The model predicts a confidence interval. When the condition is not predictable, the predicted range will be really big. Not deployable model because of lack of generalization and predictive features.
  • 2022.01 - 2023.12
    Instagram Scraper Module
    Robust Multiprocessing module to scrape massive amounts of Instagram data. Scrape post, profile picture, following, follower, and create a graph representation of a friendship. Focus mainly on finding hidden API and bypassing any required rendering in order to achieve full speed.

Volunteer

  • 2024.06 - Present
    Data Scientist
    Data Science Initiative, Youth Catalyst Foundation
    Working directly under CTO to solve business problems by translating them into technical data objectives. Built a complete data infrastructure campaign using Mixpanel. Developed recommendation systems and a RAG chatbot for suggesting competitions, mentors, internships, scholarships, volunteer opportunities, and events.
  • 2023.08 - Present
    Expert
    Kaggle
    Actively participated in discussions and published notebooks that garnered upvotes, earning a place in the top 3,300 out of 325,000 entries. Participated in 25 competitions, including a public playground competition ranked 23rd out of 934.
  • 2022.12 - Present
    Member
    Ikatan Alumni Tim Olimpiade Komputer Indonesia
    Prestigious Indonesian olympiad winner organization regularly holding task force for national olympiad, national training, and an annual meetup connecting Indonesia's top computer science talents.
  • 2022.07 - 2022.11
    Head of Organizers
    RISTEK x Datacamp Scholarship
    Managed the distribution of 50 Datacamp premium scholarships and ensured a high-quality learning experience.
  • 2022.06 - 2022.11
    Teaching Assistant
    RISTEK Sister in Tech
    Mentored women in tech, provided materials and project tasks to enhance their portfolios.
  • 2022.04 - Present
    Lead of Data Science & Analytics
    RISTEK
    Led the Data Science & Analytics team, organized Indonesia’s first Ristek Datathon, and developed programs supporting AI transformation in Indonesia.
  • 2022.02 - 2022.11
    Expert Staff of Data Science Academy
    COMPFEST
    Developed a 12-day data science curriculum for 12 speakers during the bootcamp. Successfully invited the CEO of a leading AI company in Indonesia.

Languages

Indonesian
Native Speaker
English
Fluent