Full-Stack Software Engineering Intern
Madlen
Developed React/TypeScript sketch video and podcast modules, Java 21 Spring Boot media services, AWS Lambda/S3 integrations, and Python LLM-based transcript-to-video pipelines.
Resume / CV
Computer Scientist building full-stack products, multimodal AI systems, financial data science workflows, and game systems.
Experience
Madlen
Developed React/TypeScript sketch video and podcast modules, Java 21 Spring Boot media services, AWS Lambda/S3 integrations, and Python LLM-based transcript-to-video pipelines.
Ozyegin University
Built deep learning systems for ETF price direction prediction using ViT, ConvMixer, MLP-Mixer, technical indicator visualizations, and transformer-based SP500 news sentiment ensembles.
Quick and Quality Coding and Software
Developed Q&Q Academy web applications with React, TypeScript, Material-UI, Swagger-backed REST API integration, responsive UI work, and Figma collaboration.
Projects
See the Projects page for Boom Boom Cube, Laurel AI Chat Bot, Nomisma, Event Driven Based Forecasting, YouTube AI Scraping Agent, and more.
Skill Areas
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React, TypeScript, Vite, Java 21, Spring Boot 3, .NET 8, REST APIs, clean architecture, and production-oriented UI systems.
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Gemini, Vertex AI, Imagen, ElevenLabs, Google TTS, transcript-to-video pipelines, webhook flows, and media automation.
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Python, TensorFlow/Keras, PyTorch, Hugging Face, transformers, WandB, sentiment ensembles, and ETF direction forecasting.
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Unity, C#, ScriptableObjects, event-driven gameplay architecture, grid systems, object pooling, and mobile performance tuning.