I'm driven by a curiosity to understand and solve complex problems, often diving deep into the 'why' and 'how' behind technologies and systems. Rather than focusing just on the surface application, I enjoy exploring the underlying nuances, whether it's:

• 🧠 The intricacies of AI/ML models, from on-device optimization (like OpenAI's Whisper) to analyzing large-scale behavioral patterns.
• ⚙️ Tackling performance at scale. I believe optimizing hardware usage (like with GPU acceleration via CUDA/Metal) and memory management is fundamental, necessary for large datasets, and an interesting challenge in and of itself.
• 📊 Understanding database internals and query execution, partly fueled by an interest in how systems interact with OS-level resources for peak efficiency.
• 🛠️ Designing and building end-to-end data engineering pipelines (ETL/ELT), for complex or heterogeneous data sources, creating robust, high-quality datasets that enable efficient downstream analysis, often involving comparative benchmarking (e.g., MongoDB vs. DuckDB) to select the right tools.
• 📈 Modeling complex systems, like developer ecosystems or forecasting technology adoption, often employing quantitative methods.
• 📱 Navigating the challenges of cross-platform development, especially when integrating native functionalities like iOS audio.

My approach often involves bridging rigorous technical analysis with strategic thinking. Beyond these specific tech areas, I have strong interests in algorithms, computer science, statistics, quantitative analysis (quant), economics, marketing strategy, and even history. I truly enjoy translating complex data into actionable insights.

• Core Languages & Platforms:

• Data Science, ML & AI Frameworks/Libraries:

• Databases & Data Processing:

• Key Concepts & Techniques:

  • Natural Language Processing (NLP) & Large Language Models (LLMs)
  • Topic Modeling (e.g., using Bertopic)
  • Statistical Modeling & Analysis (e.g., using Statsmodels)
  • Feature Engineering and Time-Series Forecasting
  • Performance Acceleration for ML & Large Data Computations
  • Native Mobile Module Development (Swift / Objective-C Bridging)
  • HTML/CSS for Reporting & Basic Web Structure