Hi there! I'm Gabriel Anyosa 👋
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.
🛠️ Technologies & Tools I Work With:
