𝗠𝗶𝗵𝗮𝗲𝗹𝗮 𝗞𝗢𝗦𝗘𝗩𝗔 Dreamerol

📫 𝗖𝗢𝗡𝗧𝗔𝗖𝗧 • ✉️ 𝗠𝗜𝗖𝗛𝗔𝗘𝗟𝗔𝗞𝗢𝗦𝗘𝗩𝗔@𝗚𝗠𝗔𝗜𝗟.𝗖𝗢𝗠 • 🔗 𝗟𝗜𝗡𝗞𝗘𝗗𝗜𝗡 • 🌐 𝗣𝗢𝗥𝗧𝗙𝗢𝗟𝗜𝗢 • 🧩 𝗥𝗘𝗣𝗢𝗦 • ✅ 𝗥𝗘𝗦𝗨𝗠𝗘 • 👉 𝗚𝗜𝗧𝗛𝗨𝗕 𝗦𝗧𝗔𝗧𝗦

🟢 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗗 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 𝟮𝟬𝟮𝟲

𝟭𝟱+ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱/𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 • 𝗦𝗤𝗟 • 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 • 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗠𝗟

𝗡𝗘𝗨𝗥𝗔𝗟 𝗡𝗘𝗧𝗪𝗢𝗥𝗞𝗦	𝗡𝗨𝗠𝗘𝗥𝗜𝗖𝗔𝗟 𝗔𝗡𝗔𝗟𝗬𝗦𝗜𝗦	𝗣𝗥𝗢𝗙𝗜𝗧 𝗣𝗥𝗘𝗗𝗜𝗖𝗧𝗢𝗥
𝗣𝗢𝗟𝗬𝗡𝗢𝗠𝗜𝗔𝗟 𝗖𝗔𝗟𝗖𝗨𝗟𝗔𝗧𝗢𝗥	𝗗𝗝𝗔𝗡𝗚𝗢 𝗖𝗔𝗧𝗔𝗟𝗢𝗚	𝗣𝗛𝗬𝗦𝗜𝗖𝗦 𝗦𝗜𝗠𝗨𝗟𝗔𝗧𝗜𝗢𝗡
𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗬 𝗦𝗤𝗟 𝗦𝗬𝗦𝗧𝗘𝗠	𝗣𝗟𝗔𝗖𝗘𝗕𝗢 𝗘𝗙𝗙𝗘𝗖𝗧	𝗟𝗠𝗦 𝗣𝗟𝗔𝗧𝗙𝗢𝗥𝗠

📊 𝗡𝗘𝗨𝗥𝗔𝗟 𝗡𝗘𝗧𝗪𝗢𝗥𝗞𝗦

• Python, TensorFlow, NumPy, Pandas

Focus: Machine Learning, AI, Neural Networks
Built neural network models for prediction tasks
Applied backpropagation and gradient descent optimization
Designed and evaluated model performance pipelines
Visualized results and analyzed metrics

💰 𝗣𝗥𝗢𝗙𝗜𝗧 𝗣𝗥𝗘𝗗𝗜𝗖𝗧𝗢𝗥 𝗠𝗟

• Python, Scikit-learn, Pandas

Focus: Data Analysis, Machine Learning, Predictive Modeling
Built end-to-end financial prediction pipeline
Applied feature engineering and statistical learning
Performed trend analysis and forecasting
Improved model accuracy via tuning

💊 𝗣𝗟𝗔𝗖𝗘𝗕𝗢 𝗘𝗙𝗙𝗘𝗖𝗧 𝗠𝗟

• Python, Pandas, NumPy, Matplotlib

Focus: Statistics, Experimental Design, Data Analysis
Analyzed real-world placebo effect datasets
Applied statistical modeling and hypothesis testing
Built data visualization and insight pipelines
Performed data cleaning

📦 𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗬 𝗦𝗤𝗟 𝗦𝗬𝗦𝗧𝗘𝗠

• SQL (PostgreSQL)

Designed normalized relational database schema
Optimized SQL queries for performance (~30% improvement)
Built KPI tracking and reporting workflows

🟢 𝗕𝗔𝗖𝗞𝗘𝗡𝗗 𝗔𝗣𝗜 𝗦𝗬𝗦𝗧𝗘𝗠

• Java, Clojure

Designed modular backend service architecture
Implemented API-driven system integration layer
Applied distributed systems and scalable communication patterns

🌐 𝗣𝗢𝗥𝗧𝗙𝗢𝗟𝗜𝗢 𝗪𝗘𝗕𝗦𝗜𝗧𝗘

• HTML, CSS, JavaScript

Built responsive UI/UX portfolio architecture system
Centralized projects into scalable unified showcase hub
Designed badge-driven navigation and visual branding structure

👉 🧩 𝗣𝗢𝗥𝗧𝗙𝗢𝗟𝗜𝗢 𝗖𝗔𝗥𝗗𝗦 𝟮𝟬𝟮𝟲

𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 • 𝗢𝗢𝗣 • 𝗦𝗤𝗟 • 𝗟𝗶𝗻𝘂𝘅 𝗦𝘆𝘀𝘁𝗲𝗺𝘀

🟢 𝗗𝗔𝗧𝗔 𝗔𝗡𝗔𝗟𝗬𝗦𝗧 & 𝗦𝗢𝗙𝗧𝗪𝗔𝗥𝗘 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥

𝗙𝗠𝗜, 𝗦𝗼𝗳𝗶𝗮 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 “𝗦𝘁. 𝗞𝗹𝗶𝗺𝗲𝗻𝘁 𝗢𝗵𝗿𝗶𝗱𝘀𝗸𝗶”

Python • SQL • Applied ML • Backend Development

Build systems where data becomes structure and structure becomes insight.

Background in Mathematics, Algorithms, and Software Engineering. Focused on turning theory into practical, scalable systems.

Working with Python, SQL, Java, and Clojure to build data pipelines, backend systems, and machine learning models.

🔥 𝗗𝗘𝗩 𝗜𝗡𝗦𝗜𝗚𝗛𝗧𝗦 & 𝗚𝗜𝗧𝗛𝗨𝗕 𝗦𝗧𝗔𝗧𝗦 🔥

∫ data → systems ✨

🟢 𝗖𝗢𝗥𝗘 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗦𝗞𝗜𝗟𝗟𝗦

🔵 𝗦𝗬𝗦𝗧𝗘𝗠𝗦

Data Structures and Algorithms (Python, Java, C++) with complexity optimization
System Design (scalable, distributed, fault-tolerant architectures)
Object-Oriented Programming + Functional Programming (Clojure / ClojureScript)
Concurrency, parallelism, and performance optimization
Design of high-performance and maintainable software systems

🟣 𝗠𝗔𝗖𝗛𝗜𝗡𝗘 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚 & 𝗗𝗔𝗧𝗔

Neural Networks (TensorFlow, Scikit-learn) for predictive systems
Machine learning pipelines and end-to-end ML workflows
Predictive modeling, feature engineering, and statistical learning
Data analysis, visualization, and exploration (Pandas, NumPy, Matplotlib)
Applied ML systems for real-world data-driven decision making

🟢 𝗕𝗔𝗖𝗞𝗘𝗡𝗗 & 𝗦𝗬𝗦𝗧𝗘𝗠𝗦

Production-grade backend systems (Java, Python, Clojure)
REST API design, microservices, and system architecture
Distributed systems fundamentals (scalability, reliability, availability)
Service-oriented architecture and system integration
Building robust and scalable backend services

🟠 𝗗𝗔𝗧𝗔 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚

SQL (PostgreSQL) – complex queries and optimization
Data modeling for scalable and efficient systems
Query optimization and performance tuning
Relational database design and data integrity

🟡 𝗙𝗢𝗖𝗨𝗦

Data Structures and Algorithms • System Design • Distributed Systems
Machine Learning Engineering • Data Engineering • Scalable Backend Systems
Production-grade Architecture • High-performance Software Design

👉 Selected SWE & Data Projects →

⭐ Feel free to explore repositories and give a star if you find them interesting

Mihaela Koseva (Михаела Косева) • AI Engineer • Software Engineer • Backend Engineer • Data Systems & APIs • Applied Machine Learning • Deep Learning • Neural Networks • Model Training • Data Pipelines • LLMs • Python • C++ • Java • Clojure • SQL • PyTorch • TensorFlow • Scikit-learn • Pandas • NumPy • ETL • Data Modeling • MLOps

🔗 Explore more on GitHub: Mihaela Koseva (Михаела Косева) • GitHub • Dreamerol

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