About Me

I build software systems and develop algorithmic trading strategies, working at the intersection of programming and financial markets. My focus is on creating production-ready applications and data-driven trading systems using Python and modern web technologies.

Algorithmic Trading & Finance

I work at the intersection of programming and markets, building system-based trading approaches rather than discretionary methods. Trading systems translate ideas into code with clear logic and measurable outcomes.

Strategy Development

Translating trading ideas into executable code with clear entry, exit, and risk management logic.

Market Data Handling

Working with historical and live market data. Cleaning, structuring, and analyzing data for decision-making.

Backtesting & Evaluation

Testing strategies on historical data to measure performance and identify weaknesses before deployment.

Risk & Position Management

Implementing position sizing, drawdown control, and avoiding over-optimization to maintain system integrity.

Automation & Tooling

Building Python-based systems for automated analysis, execution monitoring, and continuous iteration.

Approach

Data-driven decisions, controlled risk, and continuous iteration. Avoiding emotional or manual bias through systematic processes.

View More

Teaching & Mentorship

Through CodeHaven, I teach because I build real systems. The focus is on practical skills and hands-on learning, not theory-only education. Teaching is experience-driven, emphasizing real-world understanding.

Teaching Style: Hands-on and project-driven, focusing on understanding rather than memorization. Content is adapted to each student's level and learning pace.

Programming Foundations

Python, Java, C / C++, C#

Core logic, problem solving, and writing clean, understandable code.

Web Development

HTML, CSS, JavaScript, React, Next.js

Building complete applications and understanding how frontend connects to backend.

Databases & Backend

SQL, PostgreSQL, APIs

How real applications store and use data, understanding data flow.

Advanced Topics

DSA, Machine Learning, AI fundamentals

When and why to use them, focusing on practical application.

Beginners & School-Level

Scratch (ages 12–13), Robotics basics

Logical thinking, curiosity, and building foundations.

Competitive & Academic

CEMC/CCC, USACO, Boards: IGCSE, IB, CBSE, ICSE

Structured preparation and concept clarity.