Ali Osman Alperen Gürbilek

AI Engineer | Backend Systems | Data Products

Istanbul, Turkey aliosmangurbil@gmail.com github.com/aliosmangurbilek linkedin.com/in/ali-osman-alperen

Profile

Computer Engineering student and working AI engineer focused on production-oriented AI services, backend systems, and data products. Strongest fit is in roles where machine learning needs to become a reliable service, workflow, or product feature.

Highlights

  • DevOps and AI Engineer at Autodidactic Technologies since November 2023
  • TEKNOFEST Turkey 2nd place in AI and computer vision
  • Erasmus exchange student at the University of Molise in Italy

Core Stack

Python FastAPI PostgreSQL Docker Linux LangChain pgvector TensorFlow

Experience

DevOps and AI Engineer - Autodidactic Technologies

Nov 2023 - Present
  • Build and containerize AI services with Docker and FastAPI.
  • Design PostgreSQL-backed backend flows for production-oriented systems.
  • Work on deployment, service structure, and API scaling in Linux environments.

Volunteer Intern - Istanbul Grand Airport

Jul 2025 - Aug 2025
  • Built a natural-language-to-SQL data assistant for operational workflows.
  • Worked with event-driven data handling and FastAPI worker processes.

Intern and Team Leadership Roles

2024
  • Worked on AI solutions for QR and MICR code processing on checks.
  • Helped lead Raspberry Pi based computer vision development in the TEKNOFEST project.

Frontend Intern - EHSIM A.S.

Aug 2023 - Sep 2023
  • Built features on top of a React Material Admin Dashboard.

Selected Projects

Akilli Veri Asistani

Data assistant
  • Natural-language-to-SQL assistant using PostgreSQL event triggers and FastAPI workers.
  • Retrieval workflow built with LangChain and pgvector.
  • SSE streaming and Vega-Lite visualization for live responses.
Live site

Kehanet

ML foundations
  • Built a neural network library from scratch with NumPy.
  • Reached 98%+ accuracy on MNIST.
  • Exposed it as a Flask REST API and packaged it in Docker.
Live site

Beklemesin Kimse

Computer vision
  • Passenger detection and occupancy tracking with SSD and YOLO models.
  • Firebase-powered live occupancy updates for web and mobile.
  • Awarded 2nd place in TEKNOFEST Turkey.

Education

  • KTO Karatay University - Computer Engineering, GPA 3.23 / 4.00
  • University of Molise - Erasmus exchange in Computer Engineering
  • KTO Karatay University - Electrical and Electronics Engineering

Languages

  • Turkish - Native
  • English - B2
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