I'm a Software Engineer and aspiring Quant Engineer based in Austin, Texas. I recently graduated from The University of Texas at Austin with Computer Science and Management Information Systems.
I’m currently working as a Data Engineer at USAA, where I focus on large-scale data pipelines, Snowflake optimization, and production-grade systems. My long-term goal is to transition into a Quant Engineering role, applying machine learning, market microstructure analysis, and systematic trading research to financial markets.
🌱 Currently exploring:
- Quantitative research: market structure, alpha signals, regime detection
- ML-driven trading systems and walk-forward evaluation frameworks
- Large-scale data engineering with Snowflake, dbt, and real-time pipelines
👯 Looking to collaborate on:
- Open-source projects in quant finance, ML research, and trading infra
- Tools for systematic trading, feature engineering, and backtesting
💬 Ask me about:
Python, C#, SQL, Quant Research Workflows, Data Engineering, ML in Trading
📫 Reach me at: asilbeknorboev@gmail.com | asilbek@utexas.edu
- Programming Languages: Python, C#, Java, SQL (Oracle & Microsoft), R, Kotlin, JavaScript, HTML, CSS
- Quant & Data Tools: Pandas, NumPy, scikit-learn, LightGBM, Jupyter, dbt, Snowflake, Time-Series Modeling
- Technologies: REST APIs, GraphQL, React, Azure, AWS, Docker, Git, .NET Framework
- Interests: Quantitative Finance, Market Microstructure, Machine Learning, Data Infrastructure
- [Quant ML Edge (Private Repo)] – Modular research environment for candidate generation, labeling, regime classification, and ML filtering of intraday futures/equities trades.
- Anonymizer – Multi-layered code anonymizer built with Python + Streamlit, integrating Google’s PaLM2 LLM.
- Searching Capabilities – Job postings search platform with Azure DB integration and advanced query capabilities.
- UniReady – Web app built with C# to help students prepare for university, featuring interactive tools inspired by Reddit.
- MainStreet Movies – Movie search & showtime platform with dynamic filtering and a user-friendly interface.
✨ Thanks for stopping by! Always open to conversations on quant research, systematic trading, ML, and data engineering.
