AI, data science and backend software engineer

Atakan Emre

I build AI-powered backend systems across machine learning, LLMs, NLP, quantum machine learning, and data science, transforming research ideas into practical engineering solutions.

Atakan Emre
2020+ enterprise software experience
M.S. Software Engineering, AI/NLP focus
25 public repositories
7 live project demos

Focus

What I Build

My strongest work sits at the intersection of applied AI, data science, backend systems, and research-driven software.

LLM automation

LLM agents, prompt engineering, NLP workflows, structured outputs, and intelligent automation systems.

Backend engineering

REST APIs, microservices, data consistency, integration flows, validation tooling, and CI/CD-ready services.

Data science

Feature extraction, model evaluation, reproducible notebooks, NLP classification, and experiment-driven development.

Applied ML

Healthcare AI, molecular benchmarks, peptide design, TensorFlow/PyTorch models, and domain-specific prediction systems.

Experience

AI Research, Backend Engineering, and Data-Driven Software

A profile shaped by applied AI projects, backend service work, and research-heavy data systems.

Jun 2024 - Present

Software Engineering, Logo Yazilim

Ankara, Turkey

  • Worked on backend service validation for RESTful APIs and microservices.
  • Built Python-supported automation flows for data consistency and business logic checks.
  • Contributed to API, integration, UI, and performance workflows across enterprise environments.
  • Integrated NLP-based scenario generation and AI-supported analysis tools into validation workflows.
Sep 2025 - Present

TUBITAK 1001 M.S. Scholarship Holder

Firat University

Researching mathematical methods for aircraft wing geometry optimization and advanced aerodynamic performance.

Jan 2025 - Dec 2025

TEYDEB 1501 Healthcare AI Collaboration

Firat University, Bilkent University, INTERGEN Genetic Center

Contributing software tools and validation components for a personalized NGS and AI-based post-transplant monitoring kit.

Education

M.S. Software Engineering

Firat University, 2025 - Present. Coursework in AI, NLP, and Software Architecture.

B.S. Software Engineering

Firat University, 2021 - 2025. GPA 3.43 / 4.00, graduated with honors, top 10%.

Certifications

Machine Learning Specialization

Coursera

Fundamentals of Deep Learning

NVIDIA

Case Studies

Selected Work With Clear Technical Signals

These are the projects that best communicate depth: measurable outcomes, domain complexity, and production-minded implementation.

AI automation / MCP

MCP Test Generator

Model Context Protocol server that turns feature descriptions and acceptance criteria into structured software artifacts.

  • Gherkin, Markdown, and JSON output validation.
  • Xray/Jira export with Smoke, Regression, and E2E grouping.
  • Enterprise QA workflow focus with Dockerized delivery.

AI product / Machine Learning

TestGen-AI

Full-stack AI product that turns natural language requirements into structured validation assets.

  • FastAPI backend and React-based interface.
  • LLM, NLP, JSON schema, and test-generation workflow.
  • Designed as a practical QA assistant for modern teams.

Healthcare AI / TEYDEB 1501

NISTH Platform

Clinical decision-support platform for non-invasive post-transplant health monitoring.

  • KMR/KRE/GFR signal processing on a unified timeline.
  • Risk scoring, anomaly detection, and patient-level prediction.
  • JSON contract checks and dynamic doctor reports.

Bioinformatics / deep learning

Peptid Generator

Microplastic-binding peptide design workflow comparing multiple deep learning architectures.

  • 3,100+ model combinations evaluated.
  • Average test R2 of 0.9592 and best PET R2 of 0.9766.
  • 150 unique candidate peptides generated for screening.

Live GitHub

Repository Activity

Cards are fetched live from GitHub, then curated so the strongest AI, data science, backend, and applied software projects appear first.

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Stack

Technical Stack

A focused map of the tools I use to ship AI-enabled software and validation workflows.

Languages

Python, C#, Java, SQL, Kotlin, JavaScript, Spring Boot

AI / ML

Machine Learning, NLP, LLMs, Quantum ML, Prompt Engineering, PyTorch, TensorFlow, Scikit-learn, LangChain, PennyLane, Qiskit

Backend & Automation

REST APIs, Microservices, API Integration, Data Validation, Postman, Apidog, Selenium, Xray, Jira

Tools

.NET, ASP.NET Core, REST APIs, Microservices, Docker, Git, Jenkins, Jupyter, CI/CD, Linux, Next.js

Writing

Articles

A Markdown-powered writing area for technical notes, project breakdowns, and implementation decisions.

Let's Build Useful AI Systems

Reach out for AI products, data science workflows, backend systems, applied ML projects, or research-driven software collaborations.