Habifol
Mobile
A habit tracking app where users unlock hidden artworks by completing daily habits, gamifying personal growth.
React NativeExpoNext.jsRevenueCat
Hi, I'm Melis.
I specialize in creating accessible, high-performance applications that blend thoughtful design with robust engineering. My expertise spans across web development, mobile development, and machine learning & artificial intelligence.
I believe in writing clean, maintainable code and building products that make a real impact. Whether it's crafting intuitive user interfaces, developing cross-platform mobile apps, or implementing intelligent ML models, I approach every project with attention to detail and a commitment to excellence.
Currently, I'm focused on exploring the intersection of traditional software engineering and AI-powered applications, leveraging modern frameworks and tools to push the boundaries of what's possible.
Experience
July 2025 – PresentBerlin, Germany (Remote)
Software Engineer Intern · Coyotiv GmbH
Vue.jsExpress.jsTypeScriptMongoDBLLMsRAG
- Contributed as a Full-Stack Developer to Minikampus, an AI-driven educational platform generating math questions and visual content for 1K+ students, enhancing engagement through interactive learning tools.
- Developed scalable backend services using Express.js, TypeScript, and MongoDB, implementing email automation and cron jobs that improved notification reliability and reduced manual maintenance.
- Optimized prompt engineering workflows for automated question and image generation using LLMs, improving content diversity and accuracy through iterative model fine-tuning and dataset curation.
- Built and refined frontend features with Vue.js and an admin panel to enable educators to analyze and track student progress efficiently.
- Collaborated in a cross-functional team using Slack, Trello, and agile practices to coordinate tasks and deliver production ready features.
- Built a full RAG pipeline for Coyotiv's internal educational bot Taiga by generating embeddings for all course transcripts, indexing them in a vector database, and implementing a retrieval layer that delivers precise, context-aware answers. Automated transcript extraction for video lectures via scheduled processing, and added robust guardrails to enforce curriculum-only responses; substantially improving accuracy, safety, and student learning experience.
June 2025 – July 2025Eskisehir, Turkey
IT Intern · Anot – IT & Automation Department
PLCHMINetwork Configuration
- Gained hands-on experience with PLC and HMI configuration in the IT & Automation Department. Participated in diagnosing and resolving IP configuration issues on factory devices.
Nov 2023 – Nov 2024Eskisehir, Turkey
Research Assistant · Eskisehir Osmangazi University
PythonNLTKLDANLPData Analysis
- Collaborated on a sentiment and thematic analysis project analyzing 10K+ e-commerce reviews to identify customer trends and brand sentiment patterns. Implemented Latent Dirichlet Allocation (LDA) for topic modeling and sentiment classification across multilingual datasets.
Featured Projects
Exploring innovation across web, mobile, and AI
Education
October 2022 - January 2026GPA: 3.17/4Eskişehir, Turkey
Bachelor of Engineering - Computer Engineering
Eskişehir Osmangazi University
- Research AssistantCollaborated on a sentiment and thematic analysis project analyzing e-commerce reviews to identify customer trends and brand sentiment patterns. Implemented Latent Dirichlet Allocation (LDA) for topic modeling and sentiment classification across multilingual datasets.
Let's Connect and Build Something Amazing
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.