• Designed and deployed scalable AI-driven workflow automation systems for high-volume document generation, quality assurance, and structured data production, contributing to the successful delivery of nearly 3,000 approved outputs across multiple production batches.
• Developed advanced prompt-engineering frameworks, validation pipelines, and rule-based governance systems that improved output consistency, traceability, and production efficiency in large-scale AI-assisted workflows.
• Developed and validated an automated machine learning pipeline using QSAR techniques to predict anti-tubercular efficacy, enhancing both prediction speed and accuracy.
• Developed and implemented sophisticated prompt engineering strategies and automation workflows that significantly increased production efficiency and document quality, successfully completing 82+ client tasks totalling 246+ documents delivered.
• Conducted drug discovery studies on anti-Acanthamoeba Benzothiazines, applying qPCR, cytotoxicity, and molecular assays to evaluate compound efficacy.
• Monitored lab operations, including purchase orders, chemical stocks, consumables, and inventory, maintaining full GLP compliance.
• Maintained and cryopreserved multiple human and amoeba cell lines (HeLa, HEK-293, SH-SY5Y), ensuring cell viability and integrity for research continuity.
• Restored habitats by planting 500 native species and supporting riparian ecosystem recovery, enhancing local biodiversity and ecosystem resilience.
• Monitored and documented rare and endangered Malaysian plant species, contributing data to conservation initiatives and reporting findings to local authorities.
• Contributed to Forest Botany research through plant tagging, herbarium specimen collection, and detailed tree reporting, supporting ecological studies and conservation planning.
Key Modules: Machine Learning, Genomic Data Analysis, Microbiome Computational Analysis, Python Programming
Key Modules: Human Molecular Genetics, Molecular Biology, Cell and Tissue Culture, Immunology