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Abu Hanif Muhammad Syarubany

About Me

Experienced in analyzing, developing, and implementing data projects to meet expectations as well as using OpenAI tools (GPT-3, DALL-E2, Codex) by adjusting parameters and fine-tuning. Passionate about Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. Currently looking for a volunteer job that could improve my skills.

Education

Bachelor's degree at Bandung Institute of Technology 2019-2023

Electrical Engineering

• Current GPA: 3.70/4.00 (140 credits) • Scholarship: Jabar Future Leadership Scholarship | fully funded by the government of West Java • Thesis title: “Localization and Mapping system for the development of an autonomous tram in Indonesia”

Work & Experience

Artificial Intelligence Engineering Trainee

Schlumberger (SLB)

08/15/2022 - 09/12/2022

Built data science applications in geoscience (geology and geophysics) and reservoir engineering to analyze subsurface petroleum data, i.e. seismic reflection, wireline logging, and reservoir production data.

Artificial Intelligence Engineering Intern

Forky.id

08/02/2021 - 09/30/2021

Validated deep learning models on abusive content filtering and deployed a face anti-spoofing model in securing face recognition system.

Skills

Python in building Data Science and AI (Pandas, Keras, Tensorflow, PyTorch, Scikit-learn)
50%
OpenAI tools (GPT-3, Codex, DALL-E2)
20%
Dataiku (Core Designer, ML Practitioner)
30%

Awards

1st place best performer at Artificial Intelligence (AI) Academy, Schlumberger (SLB) 2022
Developed a machine learning tool for well logging uncertainty in oil fields, resulting in an accuracy of 98%
Top 5 winner at Information and Communication (ICT) Competition on AI Track, Huawei 2022
Designed an object detection prototype to build a face mask detection system with high performance.
National Data Science Competition, Telkom University 2020
Proposed a machine learning model which can predict whether a startup can upscale and succeed or not.