R&D Wing / Kathmandu

Experiments in Nabaraj's Lab.

Active architectural prototypes, model internals, Nepali-language AI tools, and system visualizations.

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Lab Notes
July 2026Shipped confidence scoring on the transliteration model, accuracy up 6%.
June 2026Refactored Resume Analyzer to use structured multi-pass extraction.
May 2026Prototyped lightweight WebGL renderer for attention head visualization.
01 // Live Prototypes

Experiment Directory

VisualizerStable
LIVE PREVIEWACTIVE

Attention-Head Visualizer

Interactive real-time visualization of multi-head self-attention weights and query-key matrix dot products.

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Utility ToolStable
Input: senior_engineer_cv.pdfRAW
Match Score: 94% • High Impact
LIVE PREVIEWACTIVE

Resume / CV Analyzer

Scores resumes against job descriptions with multi-pass structured section extraction and skill density gap reports.

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Utility ToolExperimental
Input: senior_engineer_cv.pdfRAW
Match Score: 94% • High Impact
LIVE PREVIEWACTIVE

AI Code Reviewer

Automated AST static analysis and LLM security audits with line-level diff recommendations.

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Nepali AINew
namaste
नमस्ते
LIVE PREVIEWACTIVE

Nepali Document & Tax Q&A

Retrieval-Augmented Generation (RAG) assistant grounded strictly in Nepal's Income Tax Act 2058 with verbatim clause citations.

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Utility ToolStable
GPT-4o
Sonnet 3.5
Llama 3
LIVE PREVIEWACTIVE

LLM Cost & Token Comparator

Client-side cost model and token length comparator across OpenAI, Anthropic, and open-source models.

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02 // Featured Instrument

Romanized Nepali → Devanagari Neural Transliteration

Sequence-to-sequence neural model fine-tuned on sub-word token alignments with real-time confidence scores and latency metrics.

MODEL: NEPAL-SEQ2SEQ-V3.4ONLINE
LATENCY: 14msCONFIDENCE: 99.4%
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कस्तो छ साथी
TOKEN COUNT: 3ALIGNMENT: HIGH
SUB-WORD ATTENTIONSelf-Attn Layer 12
BEAM SIZEk = 5
TEMPERATURE0.2 (Deterministic)
VOCABULARIES32,000 Devanagari