Education

• B.E. in Computer Science / Informatics Engineering, Institut Teknologi Bandung, 2019
  • Cum Laude with GPA 3.68 / 4.00 (transcript)
  • I was honored as an inspiring graduate because of my outstanding academic and non-academic achievements

Experience

• Research Engineer at SCIS SMU
  Nov 2019 - present
  • Conducted research on Trustworthy AI supervised by ACM Distinguished Scientist Prof David Lo
  • Published 6 papers in reputable software engineering conferences, i.e., ACM ESEC/FSE, IEEE SANER, and IEEE ICSME
  • Experienced in maintaining various PyTorch and TensorFlow ML projects using Docker
• Co-Founder & CTO at Alinamed
  Jan 2019 - July 2020
  • Managed the software development lifecycle by collaborating across members to evolve SDLC, including functional requirements analysis, design specification, technical code review, project planning, and implementation of applications
  • Managed the selection of programming languages, frameworks, cloud, web servers, databases, and mobile
  • Won prestigious startup competitions, e.g., 1st Winner at WMM by Bank Mandiri, 1st Winner at Startup Weekend Surabaya, Winner at Tech-to-Impact by UK-ID Tech Hub. Secured IDR 750 million investment from Telkom Indonesia
• Machine Learning Engineer at Bukalapak
  May 2018 - Aug 2018 (Internship)
  • Developed object detection as a part of the “search by image” feature. It’s implemented using Faster RCNN on Tensorflow
  • Developed character recognition to detect seller’s information (e.g., phone number and Instagram username) in the e-commerce product image. Localized text lines using CTPN (Connectionist Text Proposal Network). Implemented post-processing techniques on OpenCV to combine several words within the same context

Honors and Awards

• 2021 | Silver Medal - Top 5% (101 from 2,426) | Shopee Price Match Guarantee | Kaggle Leaderboard
  The task was predicting similar e-commerce products by using product images and titles. I utilized EfficientNet and NFNet to extract feature embeddings from images and utilized BERT and TFIDF to extract feature embeddings from texts. I calculated the cosine distance between products and employed k-NN to find similar products
• 2021 | Top 3% (28 from 1,034) | Shopee Code League Data Science Challenge | Kaggle Leaderboard
  The challenge was extracting Point of Interest (POI) names and street names from unformatted Indonesia addresses collected by Shopee. I framed the challenge as NER (Named Entity Recognition), where POI and street are the extracted entities. Then, I fine-tuned the IndoNLU model on the customized dataset.
• 2019 | Gojek Upscale 02 for Indonesia’s Data Science Enthusiast | Certificate
  A complete two-day experience from the Gojek data science team. It covered machine learning, data modeling, and Gojek data science practices. I was one of 20 chosen participants out of 1,000 applicants
• 2019 | Southeast Asia Machine Learning School (SEA MLS)
  A five-day ML training event held by Southeast Asia’s AI experts working at DeepMind UK and Google Brain USA. I was one of 200 chosen participants out of 1200 applicants across Southeast Asia and India
• 2017 | 1^st Winner | Competition on Building Device for Visually Impaired People | Documentation
  Developed a device for visually impaired people to help them hear what they see. It’s powered by a RaspberryPI as a processing unit. It captured an image using a camera, recognized texts and then output voices
• 2011 | Bronze Medal | Mathematics Olympiad at 2nd National Science Camp | Certificate
  Awarded by Ministry of Education - Indonesia