Available for new roles

Bilge Balga

Backend Engineer & AI Integrations

Backend Systems API Design AI & ML Integration

About

Who I am

Hi, I'm Bilge, a 2024 Computer Engineering graduate focused on Backend and Machine Learning. Currently, I manage hardware-software integration and Python development for Raspberry Pi systems.

Previously, I built full-stack projects with Go, React, and Vue.js, and developed Python Flask APIs with NLP optimizations. I also build automations for clinics and mentor in tech communities. My goal: solving complex problems with simple, sustainable systems.

Currently working on

  • Raspberry Pi-based systems
  • FastAPI backends & scalable AI integrations

Education

B.S. Computer Engineering

Selcuk University — 2020–2024

GPA 3.36 / 4.00

Based in

Antalya, Turkey

Available for remote & hybrid

Leadership & Recognition

  • AI Expertise Bootcamp Instructor — Tech Istanbul
  • Advanced ML & AI Workshop Instructor — BTK Academy
  • Samsung & UNDP Innovation Campus

Stack

Languages

  • Python
  • Go
  • JavaScript
  • C#

Web & APIs

  • React
  • FastAPI
  • Flask
  • Django

Tools

  • Docker
  • Git
  • Linux
  • MySQL / MongoDB

Embedded & Vision

  • Raspberry Pi
  • Open Cv
  • Linux Systems
  • Python / C

Experience

  1. Bexfa Technologies

    Software Developer

    Working on hardware–software integration in a Raspberry Pi–based system. Managing system control and validation processes for Python-based applications. Responsible for testing configuration-based structures in field environments and ensuring system stability.

    • Python
    • Raspberry Pi
    • Network
  2. Morya AI Technologies

    Artificial Intelligence Engineer Intern

    Built a Python + BeautifulSoup web scraping pipeline that significantly improved data consistency across Turkish NLP datasets, enabling cleaner model training. Engineered full CRUD operations and REST APIs with Flask and MySQL, complete with a secure authentication layer — delivering a production-ready backend in a fast-paced AI environment. Also developed a React-based automated rent payment notification system, directly improving end-user experience.

    • Python
    • BeautifulSoup
    • Flask
    • MySQL
    • React
    • REST API
    • NLP
  3. LGYtech

    Full Stack Developer Intern

    Spearheaded improvements to the software testing suite in Go, raising code quality standards and contributing to more stable, reliable releases. Took ownership of the localization infrastructure for a multilingual application, enabling the product to reach wider audiences. Built the full project scaffolding from scratch — folder structure, core components, models, services, handlers, and a Vue.js control panel — while integrating Docker to streamline development workflows.

    • Go
    • Vue.js
    • Docker
    • REST API
    • Testing
    • Localization
  4. Softayla

    Software Developer Intern

    Collaborated in a cross-functional team to build a Food App web application from concept to delivery. Focused on frontend development with React, Redux, and JavaScript while working in close coordination with the backend team — gaining practical experience in real-world agile collaboration, feature handoffs, and iterative product development.

    • React
    • Redux
    • JavaScript
    • CSS Modules
    • Teamwork

Projects

Full-Stack · Flask · React

Property Management System

Problem: Property teams were managing tenant data, lease records, and notifications through scattered spreadsheets and manual emails.

Built an end-to-end platform with a Flask REST backend and React frontend — JWT-secured endpoints, tenant record management, lease tracking, and automated email notifications via a clean API layer.

  • Python
  • Flask
  • React
  • MySQL
Deep Learning · Computer Vision

Date Fruit Classification

CNN model classifying 7 varieties of date fruit with 95%+ accuracy. Packaged as a Streamlit web app and deployed to Hugging Face Spaces.

  • Python
  • TensorFlow
  • CNN
  • Streamlit
AI Platform · NLP · FastAPI

Emotia

An AI-driven platform designed to detect and interpret human emotional signals through natural language processing. Combines real-time sentiment analysis with a scalable FastAPI backend to power emotionally-aware applications.

  • Python
  • FastAPI
  • NLP
  • Scikit-learn

Let's talk

I'm open to freelance projects, and interesting collaborations. Have a project in mind or just want to say hello — reach out.