Greater Seattle Area
As the Founder & CEO of QuantWaveFlow, I lead a quantitative finance research initiative focused on market signal development and data-driven strategy exploration. Collaborating with my co-founder, I coordinate product planning, data pipeline architecture, and research deliverables, while designing and backtesting systematic strategies to analyze market behavior across public and crypto markets. Currently pursuing a Bachelor of Business Administration at the University of Washington Bothell, I bring a strong foundation in finance and business administration. I aim to contribute to innovative financial solutions by combining my entrepreneurial experience, technical acumen, and passion for quantitative finance with a focus on market insights and strategy optimization.
• Founded and lead QuantWaveFlow, a quantitative finance research initiative focused on market signal development and data-driven strategy exploration. • Designed and backtested over 10+ systematic strategies, with select signals delivering strong performance trends and actionable insights. • Coordinated product planning, data pipeline architecture, and research deliverables with co-founder and technical lead, fostering a high-velocity development environment. • Utilized quantitative techniques to analyze market behavior, volatility patterns, and cross-asset relationships in public and crypto markets. • Built research documentation and analytical frameworks that support strategic decision making and risk evaluation. • Mentored team contributors and maintained prioritization of analytical rigor, data quality, and performance validation.
• Conducted systematic trading and analysis across cryptocurrency markets, focusing on perpetual swaps, futures, and derivatives instruments. • Developed and refined risk management frameworks for position sizing, drawdown control, and volatility adaptation. • Monitored market structure metrics, liquidity dynamics, funding rates, and order flow behavior to inform directional and relative value strategies. • Applied technical analysis and quantitative filtering to identify setup trends, entry criteria, and exit optimization. • Utilized data visualization and performance tracking to measure strategy efficacy and refine rule-based approaches.
• Analyzed daily and weekly performance metrics using Power BI (sales, traffic, conversion, average basket size) to inform staffing, inventory allocation, and operational decisions. • Trained and mentored 20+ team members, improving service consistency and execution of operational processes. • Assisted with labor forecasting and workforce resource allocation based on performance trends and KPI analysis. • Collaborated with cross-functional teams on promotional strategy execution and customer engagement initiatives. • Prepared performance reports used in leadership planning and communication with district management.