(Aug 2025 - Present)
Software Engineer
Frequentis
Hi,
I'm Andrei Eminovici — Software Engineer focused on front-end, trading tools, and data-driven systems.
constcoder={name:'Andrei Eminovici',skills:['Python', 'Java', 'React', 'Angular', 'Typescript', 'MySql', 'PostgreSQL', 'Tensorflow', 'Numpy'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who am I?
Software Engineer focused on full-stack development, machine learning, and intelligent automation. I build modern web applications, trading tools, and AI-driven systems using technologies such as React, TypeScript, Java, Python, and SQL. Passionate about problem solving, scalable architecture, and clean user experiences, I enjoy transforming complex ideas into practical and impactful software solutions.
Experiences
(Sept 2024 - Jun 2024)
Software Developer
Frequentis
(Jul 2024 - Sept 2024)
Machine Learning Intern
Frequentis
Skills
Education
2025 - Present
Master's Degree in Data Science
Technical University of Cluj-Napoca
2021 - 2025
Bachelor Degree
Technical University of Cluj-Napoca
2017 - 2021
High School
Liceul Teoretic 'Constantin Noica'
PROJECTS
AI Stock Prediction
constproject={name:'AI Stock Prediction',tools: ['Python', 'Tensorflow', 'React', 'Vite', 'Tailwind', 'Shadcn', 'HTML+CSS],myRole:Full Stack Developer,Description: Developed a full-stack web application for creating, testing, and visualizing AI-driven stock trading strategies with advanced analytics and performance metrics. Built a modern frontend using React, Vite, Tailwind CSS, and Shadcn UI, focused on modularity and responsive design. Developed the backend in Python and integrated TensorFlow-based machine learning models for strategy evaluation and prediction workflows.,};Solar Plant Forecasting & Anomaly Detection
constproject={name:'Solar Plant Forecasting & Anomaly Detection',tools: ['Python', 'TensorFlow', 'Pandas', 'NumPy', 'Scikit-learn', 'Matplotlib],myRole:Machine Learning Developer,Description: Developed a machine learning pipeline for solar energy forecasting and anomaly detection using real-world photovoltaic plant data. Implemented preprocessing, feature engineering, time-series analysis, and deep learning workflows to predict power generation and identify abnormal system behavior. The project focused on data visualization, model evaluation, and practical AI applications for energy systems.,};Trade-Lens Angular App
constproject={name:'Trade-Lens Angular App',tools: ['Java', 'PostgreSQL', 'Springboot', 'Angular', 'Typescript', 'HTML+CSS', 'JWT', 'Spring-Security],myRole:Full Stack Developer,Description: Developed a full-stack trading management web application using Angular, TypeScript, Spring Boot, Java, and PostgreSQL. Implemented secure authentication and authorization using JWT and role-based access control, alongside complete CRUD functionality for trade management workflows. Designed responsive frontend interfaces and backend services that enable users to register, authenticate, and manage trading activity efficiently.,};AI RAG Application
constproject={name:'AI RAG Application',tools: ['Python', 'SQLite', 'Angular', 'PyTorch', 'Ollama', 'HTML+CSS', 'Uvicorn],myRole:Full Stack Developer,Description: Developed a full-stack Retrieval-Augmented Generation application that enables conversational interaction with custom document datasets in an offline environment. Built the system using Python, Angular, PyTorch, Ollama, and SQLite, covering frontend development, backend orchestration, document processing, and LLM integration. Implemented workspace management, optimized inference workflows, and designed a modern interface for interacting with AI-generated responses.,};E-Commerce Big Data Analytics Platform
constproject={name:'E-Commerce Big Data Analytics Platform',tools: ['Python', 'Pandas', 'NumPy', 'Matplotlib', 'Scikit-learn', 'Jupyter],myRole:Data Analytics & Machine Learning Developer,Description: Developed a large-scale e-commerce analytics project focused on extracting business insights from high-volume transactional datasets. Implemented data preprocessing, exploratory analysis, feature engineering, and scalable data processing workflows to identify customer behavior patterns, product trends, and sales performance indicators. The project emphasized practical big data analysis, visualization, and data-driven decision support using Python-based analytics tools.,};Trading Simulator/Calculator
constproject={name:'Trading Simulator/Calculator',tools: ['Java', 'Java Swing],myRole:Software Developer,Description: Developed a Java-based trading simulator focused on leverage, position sizing, and profit/loss analysis. The application supports dynamic average entry calculations, configurable trading fees, account balance tracking, and leveraged position simulation through an interactive desktop interface built with Java Swing.,};AG News Text Classification
constproject={name:'AG News Text Classification',tools: ['Python', 'Transformers', 'DistilBERT', 'Scikit-learn', 'Pandas', 'NumPy', 'Matplotlib],myRole:Machine Learning Developer,Description: Developed an NLP text classification project for categorizing news articles into World, Sports, Business, and Sci/Tech classes. Compared a classical machine learning baseline using TF-IDF and Logistic Regression with a Transformer-based DistilBERT model. Implemented dataset exploration, preprocessing, tokenization, model training, evaluation metrics, confusion matrices, and example predictions, with DistilBERT achieving stronger accuracy than the baseline.,};Trading Size Calculator App
constproject={name:'Trading Size Calculator App',tools: ['Flutter', 'Dart],myRole:Software Developer,Description: Developed a mobile trading risk management application using Flutter and Dart. The app calculates optimal position sizing based on account balance, risk percentage, and stop-loss configuration, providing traders with a fast and intuitive risk calculation workflow.,};Polynomial Calculator
constproject={name:'Polynomial Calculator',tools: ['Java', 'Java Swing],myRole:Software Developer,Description: Developed a Java desktop application capable of performing polynomial operations including addition, subtraction, multiplication, division, differentiation, and integration. Designed an interactive graphical interface using Java Swing for mathematical expression processing and visualization.,};Queues Management App
constproject={name:'Queues Management App',tools: ['Java', 'Java Swing],myRole:Software Developer,Description: Developed a multithreaded queue management simulator using Java and Java Swing. Implemented concurrent queue processing, dynamic load balancing, and thread-based server management to simulate and optimize task distribution across multiple processing queues.,};Warehouse Management App
constproject={name:'Warehouse Management App',tools: ['Java', 'Java Swing', 'MySQL', 'Faker],myRole:Software Developer,Description: Developed a warehouse management application for handling products, clients, orders, and billing workflows. Built using Java, Java Swing, and MySQL, the system supports CRUD operations, relational database interaction, and automated test data generation for simulation and validation purposes.,};Linear Feedback Shift Register
constproject={name:'Linear Feedback Shift Register',tools: ['VHDL', 'FPGA', 'Artix7],myRole:Coder & Engineer,Description: Designed and implemented a Linear Feedback Shift Register using VHDL and an Artix-7 FPGA for pseudo-random sequence generation. Integrated real-time visualization through a 7-segment display and explored hardware-level concepts commonly used in cryptography and digital systems.,};Merge Conflict Detector
constproject={name:'Merge Conflict Detector',tools: ['Python', 'Tensorflow', 'Keras', 'Numpy', 'Pandas', 'Matplotlib],myRole:Software Developer,Description: Developed a machine learning-based merge conflict prediction system using Python and TensorFlow. Trained models on repository activity and code modification features to identify potential merge conflicts and improve collaborative development workflows.,};Interactive OpenGL Application
constproject={name:'Interactive OpenGL Application',tools: ['C++', 'OpenGL],myRole:Software Developer,Description: Developed an interactive 3D rendering application using C++ and OpenGL. Implemented scene navigation, shadow mapping, fog controls, and imported object visualization, enabling real-time interaction with complex 3D environments and rendering effects.,};Chess Game
constproject={name:'Chess Game',tools: ['C#', 'Windows Presentation Foundation],myRole:Software Developer,Description: Developed a desktop chess application using C# and Windows Presentation Foundation. Implemented complete chess logic including legal move validation, castling, en passant, draw conditions, and automatic game state detection through an interactive graphical interface.,};Snake Game on Arduino Board
constproject={name:'Snake Game on Arduino Board',tools: ['Arduino', 'C++],myRole:Coder & Engineer,Description: Developed a Snake game using Arduino, C++, and LED matrix displays. Implemented physical button controls, adjustable game speed through hardware input devices, and real-time rendering logic for embedded systems interaction.,};Lacteea, a Mobile Game about Space Battles
constproject={name:'Lacteea, a Mobile Game about Space Battles',tools: ['Unity', 'C#],myRole:Game Developer,Description: Developed a space-themed mobile action game in Unity using C#. Implemented player movement, enemy spawning systems, progressive difficulty scaling, modular wave configuration, scoring systems, and collectible power-ups within a customizable gameplay framework.,};Voxel Sandbox Game
constproject={name:'Voxel Sandbox Game',tools: ['Unity', 'C#],myRole:Game Developer,Description: Developed a voxel-based sandbox game in Unity using C#. Implemented real-time voxel generation and destruction systems, world interaction mechanics, and player movement controls inspired by open-world sandbox environments.,};Market-Edge Trading Bot/Indicator
constproject={name:'Market-Edge Trading Bot/Indicator',tools: ['Python', 'PineScript', 'TradingView', 'SciPy', 'NumPy', 'PyPlot', 'SQLite],myRole:Strategy Tester, Optimizer, Script Developer,Description: Developed a custom trading indicator and automation system combining multiple technical analysis strategies into a unified decision-support workflow. Integrated TradingView, Pine Script, Python, SciPy, NumPy, and Telegram-based notifications to monitor market conditions and generate real-time trading signals.,};Fast Trade Execution Bot
constproject={name:'Fast Trade Execution Bot',tools: ['Python', 'Tasker],myRole:Script Developer, Tester & Automator,Description: Developed a low-latency trading automation system integrated with Binance and Telegram-based event triggers. Optimized execution workflows, precomputed trading parameters, and automated order placement to minimize reaction time in volatile market conditions.,};Market Data Collection Script
constproject={name:'Market Data Collection Script',tools: ['Python],myRole:Script Developer,Description: Developed an automated Python-based market data collection system that aggregates historical and real-time indicators from multiple financial and blockchain-related sources. The pipeline continuously gathers and structures complex datasets for future machine learning and predictive analytics workflows.,};