About Skills Projects Education Contact
Open to AI / ML Engineering Roles

Bibishika Pokhrel

/

Computer Engineering graduate from Nepal, building at the frontier of language models and intelligent systems — RAG pipelines, agentic architectures, and infrastructure that makes LLMs actually reliable in production.

Biratnagar, Nepal Remote-first

Your PhotoReplace with
<img class="photo-real">
1+
Year building
AI systems
15+
Technologies
mastered
RAG
Core
specialisation
Remote
Open to roles
worldwide
About me

Building intelligent systems
from the ground up

I'm a Computer Engineering graduate from Purbanchal University, Nepal. My degree gave me the foundations — algorithms, probability, computer architecture, linear algebra — but what drives me is applying that knowledge to systems that actually work in the real world.

My primary focus is making LLMs genuinely reliable: grounding responses in real documents through RAG, designing careful chunking and embedding strategies, and building the API infrastructure that holds it all together.

Increasingly, I'm drawn to agentic AI — multi-agent systems with LangGraph, tool-calling patterns, and orchestration layers that let models do meaningful work autonomously, without constant hallucination.

DegreeB.E. Computer Engineering
UniversityPurbanchal University
LocationBiratnagar, Nepal
SpecialisationLLMs · RAG · Agentic AI
StatusOpen to Opportunities
Technical stack

Skills & Expertise

01Programming Languages
PythonC / C++SQL
02AI / Machine Learning
Large Language ModelsNLPSupervised LearningHugging FaceScikit-learn
03Agentic AI
RAGLangChainLangGraphAI AgentsMulti-Agent SystemsTool CallingPrompt EngineeringAgent Orchestration
04Frameworks & Libraries
FastAPIUvicornPandasNumPyMatplotlib
05Database & ORM
PostgreSQLSQLAlchemyAlembicQdrant
06Cloud & DevOps
AWS (boto3)DockerDocker ComposeGit
Selected work

Featured Projects

GitHub
001 — Personal Project

RAG PDF Q&A Web App

Upload any PDF, ask questions in plain language, receive answers grounded strictly in the document. No hallucinations on out-of-scope queries. Built end-to-end with a production-ready stack.

FastAPIStreamlitQdrantLangChainSentence TransformersDocker
What was built
  • PDF ingestion: pdfplumber → LangChain text splitter → Sentence Transformer embeddings
  • Semantic retrieval from Qdrant vector database
  • FastAPI backend orchestrating indexing and query-time retrieval
  • Streamlit chat UI connected to the API layer
  • Fully containerized with Docker Compose
002 — In Progress
New Project — Coming Soon
Something new in the agentic AI space — multi-agent orchestration, LangGraph state machines, autonomous tool-calling pipelines.
LangGraphAgents
Background

Education & Formation

2021 — 2024

Bachelor in Computer Engineering

Purbanchal University School of Engineering — Biratnagar, Nepal

Four years developing strong foundations in algorithms, systems programming, mathematics, and AI. Graduated with a focus on intelligent systems and software engineering, with final-year work centred on ML applications.

Data Structures & Algorithms Software Engineering Computer Architecture Microprocessor Computer Networks DBMS Probability & Statistics Linear Algebra & Calculus Discrete Mathematics Numerical Methods Artificial Intelligence
What drives me

Fields of Interest

Retrieval-Augmented Generation LLM Applications Natural Language Processing Semantic Search & Embeddings Vector Databases Agentic AI Systems Model Evaluation Supervised Learning
Get in touch

Let's Talk

I'm actively looking for AI/ML engineering roles. If you're building something in the LLM, RAG, or agentic AI space — I'd genuinely love to hear about it. Full-time, contract, or just a conversation. All welcome.

Open to
new opportunities.

Based in Biratnagar, Nepal. Remote-first. Especially interested in roles working on LLM systems, RAG architectures, or agentic AI platforms.