Tools & Technologies

Skills

My skills are developing at a junior level, with Python and Git as stronger foundations. I welcome training and guidance as I continue to learn.

Languages

Python
Python

Professional use · Ongoing learning

C++
C++

Junior · Bachelor’s studies

Java
Java

Junior · Master’s coursework

JavaScript
JavaScript

Junior · Coursework

Desktop & Games

Arcade
Arcade

Junior · Ongoing learning

PySide6 (Qt)
PySide6 (Qt)

Junior · Ongoing learning

Frontend

HTML
HTML

Junior · Coursework

CSS
CSS

Junior · Coursework

Next.js
Next.js

Junior · Institute website · AI-assisted coding

Backend Frameworks

Django
Django

Junior · Institute website · AI-assisted coding

DRF (Django REST Framework)
DRF (Django REST Framework)

Junior · Learning

Databases

SQLite
SQLite

Junior · Coursework

PostgreSQL
PostgreSQL

Junior · Institute website · AI-assisted coding

DevOps & Cloud

Docker
Docker

Junior · Institute website · AI-assisted coding

Build & Version Control

Git
Git

Learning · Self-study

Maven
Maven

Junior · Master’s coursework

Multi-Agent Systems

JADE
JADE

Junior · Master’s coursework

Learning & Development

Building on Python practice, university coursework, and project experience while working toward Applied AI.

Completed foundations

Bachelor’s coursework includes algorithm design, discrete mathematics, and applied linear algebra. I also completed Python courses and built the core of my bachelor’s simulation independently.

View education and certificates

Current project work

I am developing an English institute website with a collaborator and AI assistance. It has not yet been deployed.

Explore projects

Planned learning

These roadmap topics are goals, not claims of completed training or proficiency.

Python & API foundations

Independent Python practice, HTTP, REST, JSON, async programming, FastAPI, Pydantic, and database CRUD.

AI agents & local models

LLM fundamentals, tool calling, LangGraph, Ollama, embeddings, vector search, RAG, and persistent memory.

Testing & delivery

pytest, API tests, agent evaluation, logging, configuration, and a reproducible Docker setup.