About Me

Fatih Ayıbasan

Computer Engineer · AI Systems · Backend Builder

Architecting Integrity: Transforming Systemic Complexity into Scalable Reality

I'm Computer Engineering student at Ataturk University driven by the philosophy that the most effective solutions to complex problems are the most elegant and streamlined ones. My focus lies in architecting high-performance systems where robust backend logic and hardware-aware optimization converge to solve real-world engineering bottlenecks. Leadership has been a cornerstone of my development. By spearheading teams in national and international arenas, I have learned to manage technical complexity under pressure, ensuring that every component functions as a cohesive, production-grade whole. I don’t just build software; I architect the environments where high-level logic meets real-world performance.

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Timeline

Experience Competition-based

Work, research, and engineering across applied systems.

  • 2025 – 2026

    Senior Thesis — Adaptive Edge-Inference Controller

    Designed and developed the Adaptive-Edge-Inference-Controller as a graduation project to prevent thermal throttling on edge devices through dynamic YOLO optimization. Actively continuing development with a focus on integrating Fuzzy Logic-based control mechanisms.

    Atatürk University
  • Jan 2024 – Jan 2025

    Combat UAV Finalist

    Served as Team Captain for this project, overseeing strategic planning, technical coordination, and end-to-end development. I successfully led the interdisciplinary team synchronization and delivered the project to its final completion.

    TEKNOFEST
  • May 2023 – July 2024

    Autonomous Delivery UAV

    Served as the Software Team Lead for the SUAS (Student Unmanned Aerial Systems) Cargo Transportation project, widely recognized as the world most prestigious this competition held in the USA. By successfully orchestrating the end-to-end software architecture and team coordination, we passed all rigorous technical elimination stages and earned an exclusive invitation to the field operations.

    SUAS 2024
  • Oct 2022 - Apr 2023

    Early Forest Fire Detection System

    Participated in Teknofest with an early-warning drone system for forest fire detection. This project served as my foundational entry into technical team collaboration, equipping me with invaluable first-hand experience in interdisciplinary communication, project dynamics, and the conceptual design of computer vision systems.

    TEKNOFEST

Skills & Technologies

The tools and technologies I use to bring ideas to life.

Backend Systems

TypeScriptAPI Design ObservabilityCachingEvent-Driven ArchitectureScalable ServicesFastAPI

AI & ML Engineering

PyTorchLibTorchTransformers LLMsModel EvaluationComputer Vision

Agentic AI & RAG

LangGraphMulti-Agent SystemsRAG Tool CallingWorkflow RoutingPrompt Design

Edge AI & Embedded

NVIDIA JetsonCUDA ArduinoThermal-aware InferenceRaspberry Pi

Data & Infrastructure

PostgreSQLRedisDockerLinux

Engineering Practice

System DesignArchitecture PlanningTeam Leadership

Career Goals

Current Focus

I am currently building a strong engineering foundation around AI-native backend systems, agentic workflows, and hardware-aware inference. My focus is turning project-based experience into cleaner architecture, better system design, and more reliable software that can work beyond demos.

Short Term

I am looking for an internship where I can contribute to backend, AI systems, or infrastructure-oriented engineering work while learning from experienced engineers. I want to understand how real teams design services, review code, test systems, deploy reliably, and make engineering trade-offs.

Long Term

My long-term goal is to become a systems-minded engineer who can build intelligent software end to end: APIs, data flow, agents, model integration, and efficient deployment. I want my expertise to sit at the intersection of backend systems and applied AI, with enough depth to solve hard problems and enough range to keep learning across the stack.