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Nguyen duc HaiNH
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Nguyen duc Hai

@nguyenduchai

Quant Researcher and Software Architect building real-time Bitcoin market signals and an early warning system.

Vietnam
Message

At Research and Develop Advanced algorithm for Early Warning System, I work on real-time Bitcoin peak and dip detection, signal denoising, trading strategies, and market regime detection. I integrated real-time squeeze probability quantification with a dynamic market-making engine.

I designed and implemented a low-latency market regime classifier using Bayesian posterior probability estimation on isolated five-minute data snapshots. I also developed order-book indicators from localized market telemetry to assess liquidity imbalance and order-flow toxicity.

I built a dynamic execution matrix using the fractional Kelly Criterion to adjust capital deployment based on Bayesian confidence intervals and order-flow decay metrics. This work was shortlisted among the Top 100 AI Solutions in the Âu Lạc Grand Prize national tech challenge.

Previously, I was a Software Engineer at Bosch Global Software Technology Viet Nam, where I tested application software and used Python scripts to automate testing. At FPT Software, I worked as an Embedded Engineer with MCAL, C/C++, and AUTOSAR; at Toshiba Software Development Vietnam, I worked on embedded software, motor control, and robot middleware.

Experience

Work history, roles, and key accomplishments

FPT Software logoFS

Embedded Engineer

Aug 2019 - Dec 2020 (1 year 4 months)

Worked on MCAL, C/C++, and AUTOSAR in embedded systems development.

Education

Degrees, certifications, and relevant coursework

Thai Nguyen University of Information and Communication Technology logoTT

Thai Nguyen University of Information and Communication Technology

Bachelor of Information Technology, Control Engineering

2008 - 2013

Bachelor of Information Technology with a major in Control Engineering, completed from 2008 to 2013.

Tech stack

Software and tools used professionally

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