BARIŞGÜLEÇ

AI & LLM Backend Engineer

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Building intelligent systems that understand, reason, and create.

AI-focused 4th-year Computer Engineering student at Kütahya Health Sciences University. Hands-on with large language models (LLMs), deep learning, AI agents, RAG, and computer vision. Proficient in Python; experienced with data analysis, Docker, FastAPI, and AI modeling. Daily user of NumPy, pandas, scikit-learn, PyTorch, TensorFlow, and YOLO. Familiar with LangChain/LangGraph and vector stores (FAISS, Chroma) for LLM tooling and retrieval. Up to date with current LLM research; comfortable with n8n for automation to build scalable systems. For the past year, I've been delivering freelance AI projects on Bionluk.

Portrait of Barış Güleç

Experience

2026 - Present

Founder & AI & Data Engineer — SafeDose

Remote

  • •SafeDose is an AI-powered medication safety and tracking app. Built and shipped an MVP in 3 days during the AImpact Full-Stack AI Agent Hackathon (DotsHub).
  • •Achieved 2nd place and received a Product-Market Fit score of 4.0, the second-highest score in the program.
  • •Built large-scale pharmaceutical datasets dating back to 2008 with Pandas and NumPy; standardized drug name, active ingredient, and dosage data.
  • •Designed ETL pipelines to consolidate multi-source Excel files into a structured relational data model.
  • •Implemented embedding-based retrieval with a vector database and Gemini function calling for explainable drug-drug and drug-food interaction analysis in a Swift mobile app.
2024 - Jun 2025

AI & LLM Backend Engineer — Fortune Teller Coffee

Remote

  • •Developing an agent-based AI system using Python, Docker, FastAPI, and Firebase
  • •Implementing SmallAgent and RAG frameworks for multi-language intelligent automation
  • •Optimizing real-time data processing and model deployment pipelines
Summer 2025

AI Engineer Intern — HAVELSAN

Istanbul

  • •Fine-tuned RT-DETR and YOLO models for object detection
  • •Implemented image dehazing with CLAHE
  • •Fine-tuned the GPT-OS20B language model
  • •Generated scene-specific synthetic data using Stable Diffusion
2024

AI Engineer Intern — Dpointgroup

Barcelona

  • •Fine-tuned LLaMA and Qwen models for task-specific NLP adaptations
  • •Processed and optimized company data using Pandas, NumPy, and Variance Threshold
  • •Developed Word2Vec embeddings for text data representation
2019 - 2023

Freelance WordPress Developer

  • •Designing and developing custom WordPress websites for clients

Selected Work

A collection of projects exploring AI, machine learning, and computer vision.

2026Featured

Multi-Agent n8n Chatbot System

Designed and developed a multi-agent n8n chatbot system using Google Gemini, MongoDB, PostgreSQL, and Docker, supporting dynamic session management, tool calling (function calling), and JWT-based authentication.

n8nGoogle GeminiMongoDBPostgreSQLDockerJWT
2025Featured

HAVELSAN AI Internship: Vision & Generative Pipeline

Delivered a CV/GenAI pipeline including fog removal with Dark Channel Prior, ship image generation via DCGAN, Stable Diffusion 3.5 + IP-Adapter image-to-image enhancement, and RT-DETR fine-tuning with ONNX/TensorRT acceleration for real-time inference.

PythonOpenCVPyTorchStable DiffusionRT-DETRTensorRT
GitHub
2024-2025Featured

T.C. Ministry of Industry and Technology: Parallel Programming in PostgreSQL

Compared query performance and parallel speedup on PostgreSQL servers using synthetic data generation with Faker and Meta LLaMA. Delivered under the T.C. Ministry of Industry and Technology program.

PostgreSQLPythonLLAMAUbuntu
2024Featured

TEKNOFEST 2024 Health AI

Breast cancer detection using YOLO-based lesion identification and BI-RADS classification. Two LLaMA-based LLMs for radiology report correction.

YOLOLLaMAComputer Vision
Certification
2024

PalmReaderAI

Palm Reader AI web application using Streamlit, leveraging Llama-3.2-90B Vision model for advanced palmistry analysis.

PythonStreamlitLLaMA 3.2
Live DemoGitHub
2024

Feature Engineering for ML

Optimizing datasets using variance thresholding, scaling, encoding categorical variables, and dimensionality reduction.

PythonScikit-learnPandas
GitHub
2024

Spark California Housing Regression

Apache Spark MLlib pipeline for distributed regression on California Housing dataset. Achieved R² 0.797 and RMSE 44,570.

Apache SparkMLlibPython
GitHub
2024

MiceAI

AI-assisted rat behavior experiment software using OpenCV with YOLOv8-based detection model and PyQt5 GUI.

YOLOv8OpenCVPyQt5
2024

YOLO11N Traffic Sign Vision

Traffic sign detection using YOLO11N architecture with training logs, model weights, and sample predictions.

YOLO11Computer VisionPython
GitHub
2023

Ear Analysis Hybrid Model

Hybrid ResNet-CNN model for gender, identity, and age classification using ear photographs. Achieved 91% accuracy.

ResNetCNNTensorFlow
See more on GitHub

Capabilities

Programming & AI

Python, C, TensorFlow, PyTorch, Scikit-learn, Apache Spark

Data Science & Analytics

Data cleaning, EDA, feature engineering, statistical analysis, ETL, and experimental evaluation

Computer Vision

Object Detection (YOLO, Faster R-CNN), OpenCV, Image Processing

NLP & LLMs

RAG, Fine-tuning LLMs, Multi-Agent Systems, LangChain

Backend

FastAPI, Docker, Django, Firebase, Streamlit, Flask

Infrastructure

Linux (Ubuntu), Nginx, AWS, Docker, CI/CD

PythonCTensorFlowPyTorchApache SparkDockerFastAPIDjangoFirebaseOpenCVRAGScikit-learnNumPyPandasSQLFeature EngineeringETLData AnalysisHadoopNginxAWSLinuxPythonCTensorFlowPyTorchApache SparkDockerFastAPIDjangoFirebaseOpenCVRAGScikit-learnNumPyPandasSQLFeature EngineeringETLData AnalysisHadoopNginxAWSLinux

Certifications

TEKNOFEST 2024 Finalist

Health AI Competition, Disease Detection via Computer Vision

Agentic AI and AI Agents: A Primer for Leaders

Vanderbilt University (Mar 2025)

Milli Teknoloji Akademisi Yapay Zeka Uzman Eğitim Sertifikası

T.C. Sanayi ve Teknoloji Bakanlığı (June 2025)

Introduction to Docker

Google (Jan 2025)

IBM Deep Learning & Neural Networks with Keras

IBM (Sep 2024)

Academic & Volunteer

Development of a Modular Interface for AI-Supported Animal Behavior Experiment Software

ISBN: 978-625-6879-38-6

Google Core Team Member (2023 - Present)

GDG Kütahya — Community events, workshops, and AI-focused initiatives

Writer on Medium

@barisgulecdev

Speaker at Kütahya Innovative Medical Technologies and AI Congress 2024

Presenting on LLMs, RAG, and Transformer architecture

Selected for Harvard-affiliated Aspire Leaders Program

Let's build
something great.

Open to collaborations, internships, and freelance opportunities. Let's discuss how we can work together.

Email Me
LinkedInGitHubMedium

baris@gulecbaris.tech