Available for SWE & Data Science roles

Lugano, Switzerland

Lugano (CET)

Software Engineer • Data Scientist

Native macOS • Industrial ML • Cloud Architectures

Buğra GörmüşTurning complex data & code into business velocity.

Software Engineer & Data Scientist with proven industrial experience deploying machine learning systems at Kale Group (cutting financial reporting cycles by 70%) and engineering native macOS applications (OnCue in Swift/AVKit). Specialized in reliable automated ETL pipelines, time-series forecasting, and scalable backend services.

View Case Studies & Repos Download CV (PDF)Interactive Model Lab

Production Velocity-70% Reporting LatencyAutomated factory IoT & financial pipelines @ Kale Group

Native SystemsOnCue for macOS (Swift)Hardware 4K 60fps HDR, Apple AVKit, Multi-View streaming

Continuous Ingestion100k+ Records IngestedDaily GitHub Actions CI/CD ETL on Padok Analytics

Versatile CoreSwift • Python • C# .NETPostgreSQL, Next.js, and automated media pipelines

Curated Case StudiesRecruiter View (Impact & Metrics)

Featured Engineering & Projects

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Native Systems & High-Performance EngineeringHardware 4K 60fps HDR & Native Swift

OnCue — Cinematic IPTV & Media Player for macOS

Engineered a polished, commercial-grade macOS desktop media player from scratch in native Swift, leveraging Apple's low-level AVFoundation frameworks for silky smooth 60fps 4K playback.

System Flow

SwiftUI UI Layer→AVKit / AVPlayerCore→Concurrent Multi-View→Keychain Vault

SwiftSwiftUImacOSApple AVKitHardware AccelerationOLED UI

Code Repo

Native Systems & High-Performance EngineeringZero-Click Multi-Track Video Assembly

Medya Stüdyosu — Automated Media Pipeline

Constructed a fully automated media generation engine that cuts multi-platform content production time from hours to minutes using orchestrated AI pipelines and video compositing.

System Flow

Prompt Engine→TTS Audio Synthesis→Puppeteer Visuals→FFmpeg Render Core

Node.jsFFmpegPuppeteerGenerative AIAutomation Pipeline

Code Repo

Machine Learning & Predictive Systems100k+ Records Ingested & Daily CI/CD

Padok — Gazi Derby Analytics & Backtesting Engine

Engineered an automated end-to-end predictive pipeline that ingests, cleans, and scores 100k+ historical racing data points with daily CI/CD deployments and explainable weight breakdowns.

System Flow

TJK Scraper→SQLite Normalizer→Weight Backtester→GH Actions Deployed

PythonSQLiteGitHub Actions CI/CDAutomated ETLExplainable AI

Code Repo Live System

Machine Learning & Predictive Systems93.25% Test Accuracy & Grad-CAM XAI Heatmaps

RetinalVision-XAI — Clinical Pathology Diagnosis & Heatmaps

Authored graduation engineering thesis benchmark across 6 deep learning architectures on 4,127 ophthalmic images, achieving 93.25% test accuracy with InceptionV3 and 100% recall on Diabetic Retinopathy.

System Flow

InceptionV3 Backbone→Grad-CAM XAI Engine→Keras / ONNX Runtime→Gradio Clinical UI

PythonTensorFlowComputer VisionExplainable AI (XAI)Medical ImagingGradio

Code Repo Live System

Data Analytics & Enterprise Intelligence70% Faster Monthly Reporting

Industrial Production Tracker & Scenario Engine

Accelerated monthly executive financial reporting by 70% while deploying predictive anomaly detection models that decreased factory floor production risks.

System Flow

ERP & IoT Streams→SQL ETL Pipeline→Time-Series Forecaster→Executive BI

PythonSQLETLTime-SeriesAnomaly DetectionEnterprise BI

Software Engineering & Full-Stack SystemsACID-Guaranteed Banking Transactions

FabrieBank Banking Engine

Constructed core banking transaction logic and database schemas during software engineering internship at Türkiye Vakıflar Bankası.

System Flow

C# .NET Core→Layered Architecture→PostgreSQL ACID→Audit Logging

.NET CoreC#ASP.NET MVCPostgreSQLEnterprise Architecture

Code Repo

Proof of Craft • Live Model Testing

Interactive AI Playground

A live simulation demonstrator based on the Padok Gazi Derby Analytics pipeline.

Real-time Parameter Reactive

Interactive LabLive Simulation

Padok — Gazi Derby Feature Weight Playground

Repo

Hyperparameter Tuning

Jockey Impact Weight35%

Low (5%)High (60%)

Sire Bloodline & Stamina30%

Sprint PedigreeClassic Stamina

Recent Form & Pace Momentum35%

Historical BiasCurrent Form Bias

Track Surface Condition

Backtested StandingsLive Calculated

Model Top Pick

Burgas Star

88.8

Normalized Index

#1Burgas Star(Ahmet Çelik)

88.8

#2Northern Tempest(Halis Karataş)

83.9

#3Anatolian Peak(Gökhan Kocakaya)

81.5

#4Aegean Flash(Özcan Yıldırım)

73.7

Jockey Pedigree Form

See Full Model

Industrial Impact & Production ML

Real manufacturing, financial scenario, and sensor pipeline experience at Kale Group. Delivering automated ETL, anomaly detection, and accelerating executive reporting cycles by 70%.

Native macOS & Systems Engineering

Creator of OnCue: native Swift & SwiftUI application utilizing Apple AVKit for hardware-accelerated 4K 60fps HDR media streaming, concurrent Multi-View decode pipelines, and secure Keychain storage.

Full-Stack Architecture & Automation

Software engineering degree (B.Sc. 3.34 GPA). Proven versatility writing typed Next.js interfaces, enterprise C# .NET backends, relational PostgreSQL schemas with ACID transactions, and automated video generation engines.

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