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Bibishika Pokhrel

@bibishikapokhrel

Entry-level ML/NLP engineer focused on LLMs and RAG, building document QA and semantic search systems.

Nepal
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What I'm looking for

I’m seeking entry-level AI or ML engineering roles where I can build LLM/RAG systems for NLP, semantic search, and vector-database pipelines—using strong model evaluation and hallucination mitigation with clean API backends.

I’m a Computer Engineering graduate focused on machine learning and NLP. I built a document question answering system using retrieval-augmented generation, including PDF ingestion, embeddings, vector search, and an API backend.

My RAG PDF Q&A Web App uses PDF text extraction (pdfplumber), chunking with LangChain, embedding via Sentence Transformers, and semantic retrieval with Qdrant, orchestrated by a FastAPI backend and a Streamlit UI. I’m especially interested in Retrieval-Augmented Generation (RAG), LLM applications, NLP, vector databases, supervised learning, and model evaluation with hallucination mitigation—seeking entry-level AI or ML engineering roles.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Purbanchal University School of Engineering logoPE

Purbanchal University School of Engineering

Bachelor in Computer Engineering, Computer Engineering

2021 - 2024

Activities and societies: Relevant courses: Data Structures & Algorithms, Software Engineering, Computer Architecture, Microprocessor, Computer Networks, Database Management Systems, Probability & Statistics, Linear Algebra & Calculus, Discrete Mathematics, Numerical Methods, Artificial Intelligence.

Bachelor in Computer Engineering at Purbanchal University School of Engineering (2021–2024), with coursework including data structures, software engineering, AI, and computer networks.

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