I’m a Software Engineer with a Ph.D. in Computer Science, specializing in system architecture, machine learning/AI, advanced web scraping, and algorithmic trading. With expertise ranging from high-level web services (Python) to low-level system programming (C/C++), I help clients collect complex data, build reliable backend systems, and develop intelligent models that deliver measurable results. What I Can Do: 🟣 SOFTWARE ENGINEERING & ARCHITECTURE * Python, C, C++, C#, Java, PHP, Javascript, Rust, Go. * Desktop Applications Development. * Raspberry Pi programming, hardware-software integration, and edge-device deployment. * Backend Development: REST/GraphQL APIs, authentication/authorization, role-based access. 🔴 REVERSE ENGINEERING & LOW-LEVEL SYSTEMS * Reverse engineering: binary analysis, disassembly, decompilation, protocol reverse engineering * Static & dynamic analysis: IDA Pro, Ghidra, x64dbg, OllyDbg * Malware analysis, unpacking, and code inspection * Memory forensics and runtime debugging 🟠 ALGORITHMIC TRADING & QUANTITATIVE DEV * Development of custom MetaTrader (MT5) Expert Advisors (EAs), custom indicators, and automated trading bots (MQL5). * Bridging Python-based ML/DL forecasting models with MT5 via APIs/sockets. 🟢 MACHINE LEARNING / DEEP LEARNING / AI * End-to-End ML Pipelines: Data collection → preprocessing → training → evaluation → deployment. * Ecosystems & Tools: PyTorch, TensorFlow, scikit-learn, and MATLAB for academic/engineering simulations. * Deep Learning & NLP: CNNs, RNNs/LSTMs, Transformers, text cleaning, embeddings, RAG with vector databases. * Time Series & Forecasting: Feature engineering, backtesting, and model comparison (highly applicable to financial data). 🟡 WEB SCRAPING & DATA EXTRACTION * Frameworks: Python with Scrapy, Selenium, Playwright, Seleniumbase, Pydoll, requests, curl_cff. * Anti-Bot & CAPTCHA: Bypassing complex modern web protections. 🔵 DATA ANALYSIS, ENGINEERING & VISUALIZATION * Data Engineering: ETL/ELT pipelines, batch/stream workflows, data modeling (star schema), warehousing basics. * Data Analysis: Exploratory analysis (EDA), KPI definition, insights, trend/segment analysis. * Data Cleaning & Preprocessing: Missing values, outliers, normalization, deduplication, validation rules. * Database Design: PostgreSQL/MySQL/SQLite, MongoDB; indexing, migrations, and optimization.