Open to opportunities

Prashanna Chauhan Kshetri

@prashannachauhankshe

Message

Aspiring full-stack developer building RAG-powered learning systems and AI/ML NLP pipelines.

Nepal

Message

What I'm looking for

I’m looking to build and ship working full-stack products—especially AI/NLP and RAG systems—where I can own the stack end to end and keep iterating based on evaluation and real feedback.

I’m a final-year BSc (Hons) Computing student at Herald College Kathmandu (University of Wolverhampton), and my focus has been building practical full-stack apps with applied AI. My FYP, Gyana RAG-LMS, is an end-to-end Retrieval-Augmented Generation Learning Management System for Nepal’s Grade 5–10 CDC curriculum.

I built the RAG stack using hybrid retrieval (BM25 + FAISS + pgvector IVFFlat), added cross-encoder reranking, and used Redis caching to keep it responsive. I’ve also shipped ML projects like facial expression recognition and hate speech classification with PyTorch/TensorFlow, plus a Django news portal with role-based workflows.

Experience

Work history, roles, and key accomplishments

Aspiring Full-Stack Developer

Self Employed

Developed Gyana RAG-LMS, an end-to-end Retrieval-Augmented Generation Learning Management System targeting Nepal's Grade 5-10 CDC curriculum.

Python JavaScript TypeScript React fastAPI PostgreSQL Redis Docker PyTorch scikit learn Hugging Face Transformers

Education

Degrees, certifications, and relevant coursework

Herald College Kathmandu (University of Wolverhampton)

Bachelor of Science (Honours), Computing

2024 -

Grade: First Class Honours

Pursuing BSc (Hons) Computing, expected to graduate with First Class Honours. Final year project: Gyana RAG-LMS, an end-to-end Retrieval-Augmented Generation Learning Management System.