Andrew Golovko andrew1407

andrew1407's profile

🎮 Game projects & prototypes

ReignForce: Unreal Engine 5, C++, Enemy AI, EQS, Decorators & Services, Senses (Perception), Behaviour Tree, Enhanced Input, NNE, unit tests, Third-Person Shooter, client-server app, reinforcement learning, ONNX models, Skills System Progression.
RqstClient: Unreal Engine 5, C++, Enhanced Input, HTTP, WS, UDP, TCP protocols, client-server app, ClientConnectionStrategies plugin.
CartAndPole: Unreal Engine 5, C++, Enhanced Input, NNE, reinforcement learning, ONNX models.
Reactivation: Unity, C#, .Net, Zenject, Third-Person Shooter, unit tests, CI/CD, neural networks, ONNX models, Barracuda.
GallowsGame: Unity, C#, .Net, Zenject, unit tests, CI/CD, HTTP, WS, UDP, TCP protocols, client app, 2D game.
gallows-remastered: Node JS, console offline app, console & browser clients, server app, Redis database, HTTP, WS, UDP, TCP approaches.
Domino: Node JS, TypeScript, backend (NestJS), frontend (React, NextJS), Redis database, 2-4 players game session, browser client, test coverage, CI/CD, HTTP, REST API, WebSocket connection (game sessions), Docker containers.
Snake: Java, Swing API, 2D Game.

🌐 Web

DichBox: Node JS, TypeScript, backend (Express), frontend (React), PostgreSQL, test coverage, CI/CD, HTTP, REST API, online file container management system: server & browser client.
DichBoxMobile: Kotlin, Android SDK, Retrofit, HTTP client for the DichBox API, test coverage, CI/CD.
Gamalia: PHP, SQL, server app, e-shop prototype.
Domino: Node JS, TypeScript, backend (NestJS), frontend (React, NextJS), Redis database, 2-4 players game session, browser client, test coverage, CI/CD, HTTP, REST API, WebSocket connection (game sessions), Docker containers.
gallows-remastered: Node JS, console offline app, console & browser clients, server app, Redis database, HTTP, WS, UDP, TCP approaches.
ClientConnectionStrategies TestServersApp: Node JS, server app, HTTP, WS, UDP, TCP approaches to serve.

🧠 Machine learning

ReignForce Training Server: Python, Tensorflow, supervised learning, reinforcement learning, WebSocket server app.
ImageUpscaler: Python, Jupyter Notebook, Tensorflow, telebot (Telegram bot API), image upscale via chat bot image sending.
SpeechRecognition: Python, Jupyter Notebook, Tensorflow, speech recognition, Fourier transform.
ReinforcementLearningGym: Python, Jupyter Notebook, Tensorflow, Pytorch, supervised learning, reinforcement learning, OpenAI Gym games module (cart & pole, frozen lake), md5 & ONNX format (converters).
- Frozen Lake Game: state table, TensorFlow model, ONNX model.
- Cart and Pole Game (state inputs): TensorFlow model, ONNX model.
- Cart and Pole Game (image inputs): PyTorch model, TensorFlow model, ONNX model.
AI_basics: Python, Tensorflow, supervised learning, unsupervised learning, models architecture.
1. Fuzzy Control Systems Simulator.
2. Fuzzy Membership Functions.
3. C-Means Clustering.
4. Backpropagation Algorithms.
5. Hebbian Learning Rule.
6. Adaptive Neuro-Fuzzy Inference System (ANFIS).
7. Evolutionary Algorithm.
8. Genetic Algorithm.
9. Handwritten Digit Recognition.
10. Convolutional Neural Network (CNN).
11. GoogleNet.
12. Sentiment Analysis.

📈 Algorithms

expression_parser: Python, console app, mathematical expression parser, syntax analysis, syntax tree, parallel form, equivalent forms, dynamic conveyor, unit tests, CI/CD.
from_Poland_with_love: Python, Polish notation, console & window app.
SecuritySystems: C++, disk model, console app, data access control, data crypto algorithms.
NumericalTechniques : C++, Seidel iteration method, table function interpolation, table function approximation (least square technique), etc.
- Seidel Iteration Method.
- Chord Method.
- Newton Simplified Method.
- Steepest Descent Method.
- Table Function Interpolation.
- Table Function Approximation (Least Square Technique).
- Trapeze & Simpson's Methods.
- Method Runge Kutta & Euler Method.
DiscreteStructures : Scilab, graphs, path traversal.
1. Adjacency Matrix.
2. Analysis Of The Graph.
3. Comprehensive Analysis Of The Directed Graph's Properties & Structure.
4. Traversing The Graph.
5. Finding The Minimum Spanning Tree (MST).
6. Shortest Paths Search (Dijkstra's Algorithm).
Algorithms : Python, Haskell, insertion sort, Pyramid (medians), binary tree, greedy algorithms, etc.
1. Insertion Sort (other version).
2. Rating Generation.
3. Quick Sort.
4. Pyramid (Medians).
5. Hash Tables.
6. Binary Tree.
7. Travelling Salesman Problem.
8. The Task Of The Backpack.
OperatingSystems : C++, Python, allocators, task manager, optimizations.
1. Memory Allocator (C++).
2. Buddy Memory Allocation Algorithm (C++).
3. Shortest Job First Algorithm (Python).
4. Rearrangement Operation By Criteria (Python).
5. Loop Optimization (C++).
6. Loop Optimization & Profiling (C++).
EmbeddedSystems : Python, Kotlin, perceptron, selection algorithms, real-time systems, etc.
1. Signal Generation (Python).
2. Signal Correlation (Python).
3. Discrete Fourier Transform (DTF) (Python).
4. Performance comparison of the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT) (Python).
5. Ferma Function (Kotlin).
6. Perceptron (Kotlin).
7. Genetic Algorithm (Kotlin).
8. Scheduling (Python).
STD : masm32 assembly, register operations.
1. Numeric Values Conversion.
2. Password Comparison.
3. Password Authentication.
4. Password Encryption & Comparison.
5. Mathematical Operations.
6. Floating-point Arithmetic.
7. Separate Procedures & Modularity.
8. DLL Modules.

➗ Parallel programming

ParallelCuda : C++, Cuda, CPU & GPU calculation and data passing approaches.
1. Matrix Multiplication.
2. Frame animation.
3. Concurrent Computation.
4. Global & Constant Memory.
5. Monte Carlo Simulation.
6. Iterative Computations.
ParallelOpenMP : C++, OpenMP, MPI, CPU & GPU calculation and data passing approaches.
1. Critical Section.
2. Parallelization Of Array.
3. Matrix Multiplication.
4. Sequential & Parallel Implementations Performance.
5. SIMD pragma.
6. Sequential & Parallel Calculations.
7. Communication Pattern Using MPI.
8. Array Transformation.

📊 Data science & computer vision

DataScience : Python, Tensorflow, analyze data, anomalies detection, computer vision, OpenCV.
1. Synthetic Data Generation.
2. Purifying Data.
3. Anomalies Analysis.
4. Determining Optimal Value By Criteria.
5. Series Forecasting.
6. Regression Analysis & Neural Network Predictions.
7. Segment Generalization & Segmentation.
8. Data Scoring & Prediction.
9. Object Detection (YOLO).
10. Statistical Analysis.
ComputerVision : Python, computer vision, OpenCV, format pixel matrices, image segmentation.
1. Polygon Animation.
2. Figure Rotation & Projection.
3. Rasterization.
4. Vector-Based Rendering.
5. Fractal Geometry.
6. OpenGL Rendering.
7. Image Processing Operations.
8. Segmentation Algorithms.
9. Object Recognition (YOLO).
10. 3D shape manipulation.

🖥️ Computer Science

Computer Science Essentials: C++, patterns, datastructs, sorting, etc.
- Datastructs.
- Sorting.
- Classes.
- Patterns.
Components of Software Engineering: version control, CI/CD, unit tests, Docker, Docker Compose, Golang, NodeJS.
- Server app.
- Workflows & deploy.
- Client-server app with db.
- Event loop.
- Build system.
- Load balancer.
OOP: C++, object-oriented programming, patterns, etc.

💿 Database design

pantry: PostgreSQL, tables, triggers, functions, normalization, pantry storage system.
SQL-Query-Optimization: db queries optimization, indexes, index scan, cluster index, composite index.

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Andrew Golovko andrew1407

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andrew1407's profile

🎮 Game projects & prototypes

🌐 Web

🧠 Machine learning

📈 Algorithms

➗ Parallel programming

📊 Data science & computer vision

🖥️ Computer Science

💿 Database design

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