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Murat Can Barçin

Software Engineer (Backend & AI)

Architecting scalable backend systems, resilient microservices, and applied AI solutions.

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01git log --graph --oneline career

Experience

commit 9e5bebb(HEAD -> main)Mar 2026 — Jun 2026 · 4 mo
Software Engineer (AI & Backend)
Part-time
Sun Group · İzmir, Türkiye
- Engineered an AI microservice (Python, FastAPI) for the "Expense" B2B SaaS that extracts financial data from receipts and invoices, achieving sub-10s processing and a monthly capacity of 1M+ financial documents.
- Developed the backend architecture and multi-level approval workflows using Java and Spring Boot, completing the system's integration with corporate structures such as SAP.
- Python
- FastAPI
- Java
- Spring Boot
- SAP Integration
commit 9e31013Jul 2025 — Dec 2025 · 6 mo
Software & Data Science Instructor
Instructor
techcareer.net · Hybrid
- Conducted bootcamps and training programs on Backend Development, SQL, and Data Science, delivering industry-oriented knowledge through hands-on projects.
- Mentored participants to strengthen their technical skills and career readiness, while updating course materials in line with the latest technologies.
- Backend Development
- SQL
- Data Science
commit 27f0c73Jan 2025 — Jun 2025 · 6 mo
Backend Developer Intern
Internship
Turkcell · İstanbul, Türkiye
- Enhanced and maintained RESTful APIs for subscription lifecycle and payment processing in the Sardis Team, fixing bugs and improving service reliability using Java, Spring Boot, and PostgreSQL.
- Collaborated as a backend developer on the test automation team to write and refactor over 50 automated test scripts within the Sardis framework, enhancing code maintainability and reliability.
- Proactively developed a user-friendly UI for the Sardis Test Automation tool, enabling non-developer QA testers to execute and monitor automation scenarios without coding.
- Java
- Spring Boot
- PostgreSQL
- RESTful APIs
- Test Automation
commit ba2699aSep 2023 — Aug 2024 · 12 mo
Organization Coordinator
Leadership
Google Developer Student Clubs - DEU · İzmir, Türkiye
- Led the organization of 20+ technical events and hackathons, notably executing "Ecothon," the largest UN Sustainable Development Goals-based hackathon in the Aegean region.
- Ecothon İzmir

02cat ./education.json

Education

2022 – 2026
Honor Degree. Graduated with Honor Degree
Dokuz Eylül University
Bachelor of Computer Engineering
GPA
3.27 / 4.00
- Data Structures & Algorithms
- Object-Oriented Programming
- Design Patterns
- System Design
- Relational Database Design

03ls ./projects --sort=impact

Projects

Defense & Edge★ FeaturedCompleted
AI-Supported Lightweight C4ISR Prototype
TEKNOFEST Finalist · Senior Capstone Project
A polyglot microservices C4ISR prototype that fuses multi-source sensor data at the edge for real-time situational awareness and threat detection.
- TEKNOFEST Finalist
- Real-time Edge AI
- Multi-source data fusion
4-stage pipeline
01
Edge Sensing
Pi 5 nodes with AI cameras
Raspberry Pi 5
AI Camera
02
Data Fusion
Multi-source detections → one tactical picture
Python
Computer Vision
03
Polyglot Service Layer
Independent Java & Python microservices
Java
Python
Microservices
04
Decision Support
Fused tracks on tactical maps
Tactical Map UI
- Java
- Python
- Microservices
- Raspberry Pi 5
- Computer Vision
- Data Fusion
- Jira
IoT & Full-Stack★ FeaturedCompleted
SleepFlow.AI
IoT & AI Integrated Sleep Analysis System
Fuses smartwatch biometrics with Raspberry Pi vision data to generate personalized sleep insights with Google Gemini.
- Biometric + vision fusion
- Real-time edge position detection
- LLM-generated insights
4-stage pipeline
01
Biometric Capture
Smartwatch metrics via HealthKit
Swift
HealthKit
02
Edge Vision
Real-time sleep position detection
Raspberry Pi
OpenCV
03
Fusion Pipeline
Biometrics + vision logs on one timeline
Python
FastAPI
MySQL
04
Insight Generation
Gemini-generated sleep insights
Google Gemini
React
- Python
- FastAPI
- React
- Google Gemini
- OpenCV
- Swift
- HealthKit
- MySQL
- Raspberry Pi
Enterprise SaaS★ FeaturedCompleted
Expense — AI-Powered B2B Expense SaaS
Sun Group · AI & Backend Engineering
An AI document-extraction microservice and Spring Boot approval backend for a B2B expense platform integrated with SAP.
- < 10s / document
- 1M+ documents / month
- SAP integration
3-stage pipeline
01
AI Extraction Service
Receipts & invoices → structured data in < 10s
Python
FastAPI
02
Approval Workflow
Multi-level approval chains
Java
Spring Boot
03
ERP Integration
Approved records synced to SAP
SAP
- Python
- FastAPI
- Java
- Spring Boot
- SAP
IoT & Full-StackCompleted
Karma
Sustainable Accommodation Platform · Incubated at T3 Startup Center
A scalable accommodation platform with booking, secure messaging, and a token-based reward system.
- Incubated at T3 Startup Center
- Token-based rewards
3-stage pipeline
01
Client
Discovery, booking & messaging UI
React
02
REST API
Auth, bookings, messaging & rewards
Node.js
Express.js
03
Persistence
Relational store for the core domain
MySQL
- Node.js
- Express.js
- React
- MySQL
- RESTful APIs
Applied AICompleted
Enterprise Agent for SSO
AI-Powered Security System
Risk-based access control that scores SSO requests with anomaly detection and escalates high-risk access automatically.
- Real-time anomaly detection
- Dynamic risk scoring
- Automated escalation
3-stage pipeline
01
Access Gateway
SSO requests routed to risk evaluation
Spring Boot
React
02
Risk Engine
Isolation Forest anomaly scoring
Python
FastAPI
Isolation Forest
03
Escalation Orchestration
High-risk requests auto-escalated
n8n
- Java
- Spring Boot
- React
- Python
- FastAPI
- Isolation Forest
- MySQL
- n8n
- Docker

04cat ./research/*.md

Publications

Under ReviewJournal of MetaverseSubmitted Jul 2026
A Dual-Layer Financial Anomaly Detection and Automated Forensic Reporting Framework for Metaverse Economies
Abstract
A framework that pairs a machine-learning detection layer (SMOTE for class imbalance, Isolation Forest and XGBoost for anomaly detection, SHAP for explainability) with a generative reporting layer built on a locally hosted, QLoRA-fine-tuned Llama 3.1 8B model to produce automated forensic reports for Metaverse economies.
Authors
M. C. Barçin
F. Dalkılıç
Tech stack
SMOTE
Isolation Forest
XGBoost
SHAP
QLoRA
Llama 3.1 8B

05cat ./stack.yaml

Skills

Backend Systems
Service design, APIs and enterprise integrations.
- Java
- Spring Boot
- Python
- FastAPI
- RESTful API Design
- Microservices Architecture
- JavaScript
- C#
AI & Edge
Applied models, computer vision and on-device inference.
- LLM Integration & Training
- Computer Vision (OpenCV)
- Edge Computing
- Raspberry Pi
- Data Fusion
- MATLAB
Databases & Data
Relational modelling, persistence and data access layers.
- SQL
- MySQL
- PostgreSQL
- Hibernate/JPA
- Relational Database Design
Software Architecture
Fundamentals that keep systems maintainable at scale.
- System Design
- Design Patterns
- Object-Oriented Programming (OOP)
- Data Structures & Algorithms

06./contact --init

Initiate Contact

Location: İzmir, TürkiyeOpen to Remote & Relocation

Direct Email
muratcanbarcin@gmail.com
Official Resume
Delivered directly to your inbox on request.
LinkedIn
@muratcanbarcin
GitHub
@muratcanbarcin

Murat Can Barçin

Edge Sensing

Data Fusion

Polyglot Service Layer

Decision Support

Biometric Capture

Edge Vision

Fusion Pipeline

Insight Generation

AI Extraction Service

Approval Workflow

ERP Integration

Client

REST API

Persistence

Access Gateway

Risk Engine

Escalation Orchestration

A Dual-Layer Financial Anomaly Detection and Automated Forensic Reporting Framework for Metaverse Economies

Abstract

Backend Systems

AI & Edge

Databases & Data

Software Architecture

Direct Email

Official Resume