Software Engineer — Ankara, Turkey

Eren Tuna
Açıkbaş

Building scalable backend systems and high-performance solutions across industries. Engineering with Go, Python, and a growing passion for AI & data science.

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2025 — Present
Software Engineer
GoWit Inc. Delaware, USA

Developing high-performance backend solutions for adtech using Golang and Python. Building scalable systems with a focus on AI and data science integration.

Golang Python Kafka Redis PostgreSQL Docker
Jun — Dec 2024
Technical Team Lead
Implementation Partners Frankfurt, Germany

Led 10+ developers on a finance sector product. Designed and delivered performance-optimized backend systems for banking infrastructure.

Golang Kubernetes Oracle gRPC CI/CD
2023 — 2024
Software Engineer
Implementation Partners Frankfurt, Germany

Developed cloud-native banking platform using Golang, microservices architecture, and Kubernetes orchestration.

Golang Kubernetes Microservices Oracle Cloud REST API
2021 — 2023
Software Engineer
Valantic Frankfurt, Germany

Delivered tailored software solutions for international financial services clients. Optimized SQL databases for high-performance transactional workloads.

Python SQL Agile REST API
2019 — 2021
Software Engineer
Freelance Ankara, Turkey

Mobile development specializing in Flutter framework. Delivered client projects across diverse domains.

Flutter Dart Firebase REST API

Languages

Go Python Rust SQL Dart

Backend & Distributed Systems

Microservices gRPC REST APIs Event-Driven Architecture

Data & Messaging

Kafka PostgreSQL Redis Oracle

Cloud & DevOps

Kubernetes Docker CI/CD Oracle Cloud Git

AI & Data Science

Machine Learning Deep Learning TensorFlow Data Science Pandas
2025 — Present
Artificial Intelligence and Robotics
Ankara University — M.S.
2024 — Present
Computer Programming
Istanbul University — Associate Degree
2019 — 2024
Petroleum & Natural Gas Engineering
Middle East Technical University (METU) — B.S.
Concurrency in Go University of California, Irvine
Databases and SQL for Data Science IBM
Microsoft Learn AI Skills Challenge Microsoft
Scientific Reports · Nature · 2025

Enhancing crayfish sex identification with Kolmogorov–Arnold networks and stacked autoencoders

Yasin Atilkan, Berk Kirik, Eren Tuna Acikbas, Fatih Ekinci, Koray Acici, Tunc Asuroglu, Recep Benzer, Mehmet Serdar Guzel & Semra Benzer

Applied Kolmogorov–Arnold networks and stacked autoencoders for binary classification of crayfish sex using tabular and image datasets, achieving 95–100% accuracy.

Deep Learning KAN Autoencoders Open Access
Collaboration

Have a project or idea?
Let's build it together.

Open to collaborations in backend engineering, AI research, and scalable system design. Whether it's a new venture, open-source work, or academic research — let's talk.

Get in touch →