As a versatileGolang Developer, I specialize in high-performance, custom-builtNatural Language Processing (NLP) models. My commitment is to deliver robust, efficient, and novel solutions for complex structured language interpretation, with a core focus on systems like mynlptagger project. I am driven by leveraging advanced Go programming to push the boundaries of AI/ML in new contexts.
| Status | Project | Description | Tech Stack |
|---|---|---|---|
| Active | golangast/nlptagger | A specialized Go library for analyzingCLI commands viaSemantic Role Labeling (SRL) and sequence prediction to determine userIntent. | Go, BiLSTM, Word2Vec, CRF |
| Component | Purpose |
|---|---|
| Intent Classification | Maps complex command phrases to specific, actionable user goals. |
| Semantic Role Labeling (SRL) | Identifies the logical roles of words/arguments within a command structure. |
| Go Implementation | Building all models and components natively in Go for maximum performance and low-level control. |
Trying to touch and learn 1 new thing everyday!
- 🔭 Working On: Optimizing the performance and training of SRL models for
nlptagger. - 👯 Collaborations: Always open to contributions on any part of thenlptagger project.
- 💬 Ask Me About: Custom NLP in Go, or deep learning model optimization.
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