Husein Zolkepli
Vice President - AI Research Engineering Governance at Scicom MSC Berhad
Sungai Petani, Kedah, Malaysia
Summary
🤩
Rockstar🎓
Top SchoolHusein Zolkepli is a seasoned AI research and engineering leader with nine years of experience building production-grade ML infrastructure, open-source toolkits, and localized language models. As Vice President of AI Research Engineering Governance at Scicom and former CTO of Mesolitica, he led large-scale open-source efforts—open-sourcing Malaysia’s Malaya NLP/speech toolkits, multi-terabyte datasets, and pretrained LLMs—while also shipping scalable inference engines and GPU autoscaling for real-world deployments. He combines deep hands-on expertise in NLP, speech, time-series forecasting and MLOps (from FP8 quantized inference to GitOps GPU fleets) with a track record of securing cloud credits and on-prem compute to democratize national AI research. Beyond leadership, he’s an active contributor to repositories for stock prediction, TensorFlow NLP models, and Hugging Face integrations, reflecting both research depth and practical deployment skills. Based in Kedah, Malaysia, Husein bridges community-driven open source and enterprise governance to make localized GenAI accessible and production-ready.
9 years of coding experience
9 years of employment as a software developer
SPM Pure Science, SPM Pure Science at MRSM Taiping
Malay, English
Stackoverflow
11reputation
788reached
4answers
1question
Github Skills (23)
python10
attention-mechanism10
machine-learning10
rnn-model10
n10
text-classification10
ml-deployment10
mask-rcnn10
huggingface-transformers10
lstm10
deep-learning10
time-series-forecasting10
tensorflow10
faster-rcnn10
nlp10
Programming languages (7)
Github contributions (5)
huseinzol05/Stock-Prediction-Models
Dec 2017 - Jan 2021
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Role in this project:
Data Scientist
Data ScientistContributions:123 commits, 2 PRs, 117 pushes in 3 years 1 month
Contributions summary:Husein appears to be a data scientist focused on developing stock prediction models. The commits reveal the implementation of various deep learning models, including RNNs, bidirectional RNNs, and CNNs, for time series forecasting. The user's contributions involve loading and preprocessing financial data, experimenting with different neural network architectures, and evaluating the models' performance. These contributions align with the project's goal of creating and comparing machine learning models for stock forecasting.
forecastingpythonstock-price-forecastingstock-price-predictionmonte-carlo
mesolitica/NLP-Models-Tensorflow
Apr 2018 - Jul 2020
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Role in this project:ML Engineer
ML EngineerContributions:273 commits, 1 PR, 247 pushes in 2 years 3 months
Contributions summary:Husein added multiple deep learning models for text classification, including a neural turing machine model and a series of LSTM-based recurrent neural networks, namely LSTM-RNN with Bahdanau attention, fast-slow LSTM, and siamese networks. Additionally, the user implemented the deep pyramid CNN model for text classification. All the models were developed using TensorFlow within the confines of this NLP model repository.
pythonlanguage-processingproblemsdialogue-systemsdeep-learning-models
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