Electrical Engineer | Data Analytics & Machine Learning Expert | Python & MS Tool Automation

I am a dedicated Electrical Engineer with a unique blend of high-level AI development experience and a proven track record of professional reliability. My background spans from core engineering to specialized work on large-scale Language Model (LLM) projects. Big Tech Project Experience: I contributed to the development and refinement of Google Gemini (formerly Bard). This role honed my expertise in text cleaning, data labeling, and high-pressure deadline management. Academic Expertise: For my Diploma Thesis, I engineered a sophisticated system utilizing Large Language Models (LLMs) to perform sentiment analysis on financial news, specifically designed to model and predict market volatility. This project required a multidisciplinary approach combining financial theory with cutting-edge AI. The key technical milestones for the thesis are: Deep Data Mining: Built robust pipelines to scrape and process massive datasets of unstructured financial text. API Integration: Expertly handled real-time data ingestion through various financial and news APIs. Algorithmic Fine-tuning: Optimized LLM parameters to recognize nuances in financial "lingo" that standard models often miss. Resource Management: Efficiently managed computational budgets (GPU/CPU) to process large-scale data analysis within tight project constraints. Predictive Modeling: Successfully correlated sentiment scores with stock market fluctuations to identify actionable trends. Professional Typesetting: I am a specialist in High-end LaTeX typesetting, capable of producing flawless academic papers, technical manuals, and complex documentation. Resilience & Work Ethic: Having worked consistently since age 18 in the service industry to self-fund my education, I bring a level of discipline, communication, and client-focus that is rare in technical fields. Technical Toolkit: Languages: Python (Data Science focus), C, C++, Java, Rust. Data Science: Sentiment Analysis, Predictive Algorithms, ML Model Tuning. Tools: MS Office Suite (Expert Excel/Macros), LaTeX, Git.

Work Terms

Availability: Monday – Friday (9:00 AM - 5:00 PM EST). Available for urgent weekend requests upon prior agreement.