MG.

Available for internships

Mijash
Gaunkuri.

Backend & AI Engineer

Building scalable backend systems and AI-powered applications with Python, FastAPI, PostgreSQL, and modern LLM technologies. I care about reliable architecture, grounded AI experiences, and tools that genuinely help people work better.

Mijash Gaunkuri placeholder profile

01 — About

Engineering systems with intent.

A backend-focused software engineer from Nepal, interested in the quiet work that makes software dependable.

I build APIs, data flows, and AI systems with a focus on strong foundations. My current interests span retrieval-augmented generation, vector databases, LLM applications, and cloud-native backend architecture.

I enjoy solving real engineering problems over building surface-level demos. Alongside a strong Python backend practice, I’m expanding into ASP.NET to become a more adaptable systems engineer.

Quick facts

Location
Nepal
Degree
BE in Information Technology
Focus
Backend · AI · REST APIs
Languages
English · Nepali

02 — Technical foundation

Tools chosen for the work.

A practical stack centered on robust APIs, data modeling, and modern AI retrieval systems.

Languages

PythonC#JavaSQL

Backend

FastAPIASP.NET Core · learningREST APIsSQLAlchemy

AI / LLM

LangChainLlamaIndexRAGHugging FaceEmbeddingsPrompt EngineeringVector Search

Databases

PostgreSQLMongoDBChromaDBQdrant

DevOps & Tools

DockerGitGitHubAlembicPytestPostman

03 — Selected work

Projects built as case studies.

Each project starts with an engineering problem and follows through to the architectural choices that make the solution credible.

In development
Case study 01

CodeCompass

AI Codebase Assistant

Repository intelligence for developers who need answers with context, not guesswork.

FastAPI/LangChain/PostgreSQL/FAISS
Architecture complete
Case study 02

TaskFlow API

Production-grade Task Management Backend

An opinionated, secure API foundation for multi-user task management.

FastAPI/PostgreSQL/SQLAlchemy/Docker
Research prototype
Case study 03

NepalDocs Q&A

RAG for Nepali Government Documents

A trustworthy question-answering layer for dense public documents and policy PDFs.

Python/LlamaIndex/Qdrant/Hugging Face

04 — Education

Learning the fundamentals—and applying them.

A formal foundation in software engineering, supplemented by hands-on backend and LLM practice.

2020 — 2025

Bachelor of Engineering in Information Technology

Pokhara University · Cosmos College of Management & Technology

Coursework: Data Structures, Algorithms, Database Systems, Operating Systems, Software Engineering, Artificial Intelligence.

2018 — 2020

NEB · Science

United Academy · GPA 3.10

Continued focus: FastAPI, LangChain, LLM engineering, machine learning, and backend software development.

05 — GitHub

An open engineering trail.

A compact view of the repositories and tools I’m shaping in public.

06 — Contact

Let’s build something dependable.

I’m open to internship opportunities, backend collaborations, and conversations around practical AI systems.