Building practical machine learning solutions that solve real-world problems. From bioinformatics research to enterprise AI platforms.
I'm a passionate data scientist with a strong foundation in machine learning, deep learning, and computational research. My journey began with a fascination for understanding complex patterns in data and has evolved into developing practical AI solutions that bridge the gap between cutting-edge research and real-world applications.
With extensive experience in bioinformatics, financial analytics, and business intelligence, I specialize in transforming raw data into actionable insights. My work spans from developing custom neural network architectures for medical research to building enterprise-grade machine learning platforms that democratize AI accessibility.
5+ Years Experience
15+ Technologies
10+ Projects
Undergraduate Student & Research Assistant in Chemistry and Bioinformatics, conducting research focusing on applying deep learning algorithms to biological data analysis.
Co-founded Kolosal AI to democratize access to large language models and enable local, private AI deployment. Led development of open-source desktop applications for training and running LLMs, MLOps platforms, and high-performance inference frameworks with enterprise autoscaling capabilities.
Published "The Implementation of Deep Learning Algorithm with Gaussian Blur Data Pre-processing in Circular RNA Classification and Detection" as first author, presenting novel approaches to bioinformatics challenges using custom CNN architectures.
Awarded Best Research Project at UBC Vantage College Capstone Conference for "Cancer Mutation Analysis in the P-53 Gene" — a study utilizing genetic algorithm approaches to identify DNA characteristics leading to P-53 cancerous mutations.
Selected as a finalist in the Informatics category at Indonesia's National Science Competition, competing against top students nationwide in computational thinking and programming challenges.
Scientific contributions in bioinformatics and computational biology
"The Implementation of Deep Learning Algorithm with Gaussian Blur Data Pre-processing in Circular RNA Classification and Detection" - Novel CNN architecture for predicting circRNA-disease associations with advanced preprocessing techniques.
Read PublicationBest Research Project Award at UBC Vantage College Capstone Conference. Genetic algorithm approaches to identify DNA characteristics leading to P-53 cancerous mutations.
View ResearchResearch Assistant in Chemistry and Bioinformatics, applying deep learning algorithms to biological data analysis under faculty supervision.
Visit UBCExplore my latest projects spanning research, open source, and business applications
Co-founded a platform to democratize access to large language models. Built open-source tools enabling local, private AI deployment with custom training and inference capabilities.
Visit projectHigh-performance inference framework optimized for production ML deployments. TensorRT integration for efficient model serving.
View on GitHubProduction-ready automated machine learning platform with Gradio UI. Streamlined ML experimentation and deployment.
View on GitHubAdvanced Self-Organizing Map implementation with multiple initialization methods and clustering evaluation metrics
View on GitHubAI-powered fitness companion with pose detection and personalized recommendations
View on GitHubEducational platform fostering lifelong learning and research community engagement
Visit PlatformPsychology-focused community platform for mental health awareness in Indonesia
Follow CommunityMulti-country GDP pattern analysis using Self-Organizing Map clustering techniques
View AnalysisComparative analysis of equity and cryptocurrency markets using advanced time series models and volatility forecasting.
Read analysisInterested in collaboration or have questions about my work? I'd love to hear from you.