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9th International Conference on Engineering, Applied Sciences, and Technology (ICEAST)
Vientiane, Lao PDR
Deep CNN classification of banana plant nutrient deficiencies across 9 classes — healthy and 8 deficiency types. Evaluated on two public datasets with augmentation strategies. Achieved ~88% F1-score.
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8th International Electrical Engineering Congress (iEECON)
Chiang Mai, Thailand.
Classified 7 nutrient conditions in black gram using combined old + young leaf images. ResNet50 features fed into MLP outperformed SVM and logistic regression. Achieved 88.33% accuracy.
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16th International Joint Conference on Computer Science and Software Engineering (JCSSE)
Pattaya, Thailand.
Benchmarked deep CNN transfer learning for nutrient deficiency detection on 4,088 black gram leaf images across 7 treatment classes. ResNet50 outperformed block-based methods and human-reported baselines. Best model: ResNet50 at 65.44% accuracy.
About Me
Building AI systems by day.
Publishing research by night.
I'm an AI/ML Engineer at Six Atomic (4+ years) and a PhD researcher at KMITL, where I'm investigating Knowledge Distillation and Model Compression for Computer Vision — working toward a custom lightweight model that achieves significant size reduction without sacrificing accuracy.
My background sits at a rare intersection: I build production systems at work — pattern grading algorithms that cut manual workload by 90%, AWS-deployed pipelines, RAG + LLM applications — while simultaneously publishing IEEE research on deep learning for agricultural AI. That dual perspective makes me a different kind of engineer: one who understands both what research claims and what production demands.
I've also built an end-to-end data engineering pipeline covering the full stack — DLT, Airflow, dbt, Terraform, Redshift — because AI engineers who understand data pipelines build better systems. Outside work I speak at Women in AI Myanmar and mentor at GDG Yangon's ML Paper Reading Club — because the best way to understand something deeply is to teach it.
Beyond the screen
Cat lover Coffee enthusiast Yogini 10k steps daily Nature enthusiast