Tjeng Wawan Cenggoro
Special Capital Region of Jakarta, Indonesia
Summary
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SeniorWawan Cenggoro is a seasoned AI and data science leader with 10+ years of experience, currently serving as AI & Data Science Advisor (VP-Level) at Lintasarta in Jakarta. He guides GPU-accelerated MLOps, cloud GIS deployments, and large-scale AI training, and serves as the primary liaison with NVIDIA for Lintasarta's AI Nation program. An active academic, he has published more than 90 peer-reviewed papers, holds four copyrights for AI-based video/image analytics, and has been an NVIDIA-certified instructor since 2017 while teaching at BINUS. At BINUS AIRDC, he led AI research initiatives on plant counting from UAV imagery, palm fruit ripeness classification, solar-dryer automation, and medical image analysis, while also serving as a faculty member and adjunct AI researcher. In industry, he steered Tokopedia's data science teams—advancing fashion and short-video recommenders, scalable image embeddings, and visual-language model applications—and had a stint at ByteDance as Senior AI Algorithm Engineer. Based in Indonesia, he combines hands-on engineering with strategic leadership, shaping production-ready AI systems and governance while mentoring the next generation of AI talent.
8 years of coding experience
Github Skills (9)
predict7
protein-sequences6
autoencoder5
mechanism3
deep-learning3
palm3
attention-mechanism1
maturity1
pytorch1
Programming languages (1)
Github contributions (5)
wawancenggoro/fpncc
Jun 2019 - Mar 2021
Contributions:3 commits, 2 pushes, 1 branch in 1 year 10 months
frl21/Phosphorylation_Prediction
Nov 2018 - Feb 2019
This project is conduct research using deep learning to predict phosphorylation site in protein sequences
Contributions:64 commits, 57 pushes in 3 months
autoencoderdeep-learningpredictproteinprotein-sequences
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