Bibishika Pokhrel
@bibishikapokhrel
Entry-level ML/NLP engineer focused on LLMs and RAG, building document QA and semantic search systems.
What I'm looking for
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
RAG PDF Q&A Web App
Personal Project
Built a Retrieval-Augmented Generation web app that lets users upload PDFs and ask questions, returning context-grounded answers via an LLM. Implemented a PDF ingestion pipeline with chunking, embeddings, and Qdrant-based semantic retrieval, plus a FastAPI backend powering a Streamlit chat-style UI.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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