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Experience

2026
Founder & CEO @ Dashboard Options
  • Engineered and bootstrapped a premier high-frequency options analytics platform from the ground up, integrating real-time data feeds from CBOE, OPRA, Binance, and Deribit.
  • Developed advanced algorithmic models to calculate and visualize "The Greeks" (Delta, Gamma, Vega, Theta) with institutional-grade accuracy and sub-millisecond execution speeds.
  • Leveraged the AI revolution to enhance predictive analytics, scaling the platform independently into a global benchmark for volatility analysis.
September 2024 - Present
Big Data & Financial Analytics Specialization Remote Canadian University
  • Pursuing an advanced academic specialization in Big Data Science, focused on optimizing large-scale datasets within the Medical and Quantitative Finance domains.
  • Developing expertise in Supervised Learning frameworks, specializing in predictive modeling and pattern recognition for complex market data.
  • Actively engaged in high-level data auditing and session analysis, translating theoretical coursework into practical, high-precision evaluation models.
  • Consistently demonstrating academic excellence through rigorous examination-based assessments and practical lab-based certifications.
September 2025 - Present
Quant Software Architect Open-Source Financial Ecosystems
  • Multi-disciplinary Engineering: Specializing in high-performance software development by seamlessly integrating C, C++, Python, and JavaScript.
  • Financial Synthesis: Bridging the gap between Global Macroeconomic analysis and robust financial engineering to build sophisticated trading infrastructures.
  • Open-Source Leadership: Driving the creation of institutional-grade financial software, empowering the global community with transparent and scalable data analysis tools.
  • Full-Stack Data Science: Combining low-latency systems (C++) with flexible analytical modules (Python) to architect next-generation financial ecosystems.
March 2026 - Present
Proprietary Financial Systems Engineer Confidential Financial Institution
  • Collaborative Engineering: Partnering with cross-functional engineering teams to architect and maintain mission-critical financial software and high-performance application interfaces (APIs).
  • Institutional-Grade Solutions: Developed and optimized secure middleware for Tier-1 financial institutions, ensuring high data integrity and seamless system integration.
  • Security & Compliance: Managing highly confidential, closed-source codebases with a focus on internal financial data processing and sensitive transaction monitoring.
  • Architecture Maintenance: Ensuring the operational excellence of robust financial frameworks designed for high-security environments.
2026 - Present
Quantitative Finance Mentor Financial Engineering Mentorship
  • Expert Mentorship: Leveraging deep scientific market experience to train the next generation of quantitative traders and financial engineers in mastering complex derivatives.
  • Curriculum Development: Designed and delivered specialized training on The Greeks (risk metrics), Python for Finance, and the most powerful analytical libraries (e.g., Pandas, NumPy, Scipy).
  • Practical Application: Empowering students with the tools to bridge the gap between financial theory and algorithmic execution through high-fidelity modeling and backtesting.
  • Knowledge Synthesis: Translating years of market exposure into structured educational masterclasses focused on volatility surfaces and strategic options management.