Wawan Cenggoro
AI & Data Science Advisor (VP-Level), Cloud Solution
Special Capital Region of Jakarta, Indonesia
Summary
👤
Senior🎓
Top SchoolWawan Cenggoro is an AI and data science leader with over a decade of experience translating advanced research into production-grade systems across e-commerce, agriculture, healthcare, and smart infrastructure. As VP-level AI & Data Science Advisor at Lintasarta and an adjunct research scientist at BINUS, he architects GPU-accelerated cloud and MLOps solutions, including Kubernetes-based multi-node/multi-GPU training and the first GPU-accelerated Spark prototype at Lintasarta. He has driven measurable business impact—refactoring CPU code for up to 741% speedups and improving recommender and vision systems that boosted margins and sales—and holds multiple patents in video/image analytics. A prolific researcher with 90+ peer-reviewed publications and recognition among the world’s top 2% scientists, he bridges academia, industry partnerships (notably with NVIDIA), and talent development to scale AI in emerging markets.
8 years of coding experience
7 years of employment as a software developer
Science, Science at SMA Negeri 1 SamarindaS.Kom, Information Technology, 3.94, S.Kom, Information Technology, 3.94 at STMIK Widya Cipta DharmaScience, Science at SMP Negeri 2 SamarindaSD Negeri 006 SamarindaM.T.I., Information Technology, 3.83, M.T.I., Information Technology, 3.83 at Universitas Bina Nusantara (Binus)
English, Indonesian
Github Skills (9)
predict7
protein-sequences6
autoencoder5
mechanism3
deep-learning3
palm3
maturity1
attention-mechanism1
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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