- π‘ Turning ideas into production-ready software β from architecture to deployment
- ποΈ Building scalable SaaS, eCommerce, and web platforms with Ruby on Rails
- βοΈ Backend specialist β API design, database optimization, background job processing
- π₯ Engineering lead with experience driving architecture decisions & dev best practices
- π Collaborated with global teams across the U.S. and Nepal
- π€ Actively exploring AI & Machine Learning β with real projects to show for it
- π§ͺ Advocate for TDD, clean code, and CI/CD-first development
- ποΈ Based in Nepal
- Kathmandu, Nepal
-
19:08
(UTC +05:45) - https://sanjeevpoudel.com.np
- @_sanjeevpoudel_
Highlights
Pinned Loading
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Nepali_Text_Summarization_Extractive
Nepali_Text_Summarization_Extractive PublicExtractive Text Summarizer, based on tf-idf text representation (an example)
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Nepali-n-grams-model-using-nltk-Simple-Example
Nepali-n-grams-model-using-nltk-Simple-Example PublicAn n-gram model is a type of probabilistic language model for predicting the next item in such a sequence. In n gram language modelling, words are modeled such that each n-gram is composed of n words
Jupyter Notebook 2
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Nepali-News-Classifier
Nepali-News-Classifier PublicNepali News Classifier is an application that can classify the unlabelled or unclassified news/text document into predefined target categories.
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Nepali_Word2Vec_Model_Making
Nepali_Word2Vec_Model_Making PublicMaking Nepali Word2Vec Model, using Gensim library with Nepali Bible Corpus.
Jupyter Notebook 3
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Iris-Classification-Model-Deployed-in-Django
Iris-Classification-Model-Deployed-in-Django PublicIris-Classification-Model-Deployed-in-Django
Python
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retrieval-augmented-generation-rails
retrieval-augmented-generation-rails PublicA minimal RAG (Retrieval-Augmented Generation) system built with Ruby on Rails, Gemini API, and pgvector.
Ruby
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