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Mustafa-Yagci/README.md

Mustafa Yağcı

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M.Sc. Student UniPa B.Sc. Graduate ESOGU TEKNOFEST 2023 Awards Technical Reviewer Quant Track


LinkedIn Email Location GitHub Portfolio


⚡ Architectural Thesis: Dual-Track Engineering

"Bridging the Nanosecond Gap: From High-Precision Silicon & Power Hardware to Low-Latency Quantitative Execution."

My engineering background converges at the intersection of hardware silicon & embedded power systems and high-throughput quantitative execution architectures, delivering end-to-end solutions from physical schematics to algorithmic software:

  1. Hardware Engineering, Mixed-Signal Silicon & Power Systems:

    • Precision Analog Front-End (AFE) Design: Low-noise biopotential acquisition stages with CMRR >100 dB, laser-trimmed instrumentation amplifiers, and active Driven Right Leg (DRL) noise suppression.
    • High-Power Motor Drives & Power Electronics: High-voltage, high-current 3-Phase BLDC motor drive inverters (84V / 40A, TEKNOFEST 2023 3rd & 9th Place), closed-loop Switch-Mode Power Supplies (SMPS Buck/Boost), and state-space analog PI compensators.
    • Digital FPGA RTL Design & Automated DAQ: Synthesizable streaming architectures (SystemVerilog / Verilog on Xilinx Vivado) with AXI4-Stream bus flow control, paired with automated virtual instrumentation suites (LabVIEW / 16-bit SAR ADC dynamic characterization).
  2. Quantitative Systems, Microstructure & Low-Latency Software:

    • Market Microstructure & Order Flow Analysis: Modeling tick-level Order Flow Imbalance (OFI), Level-2 limit order book liquidity dynamics, and information-driven volume/dollar bar sampling pipelines.
    • Convex Portfolio Risk Optimization: Deploying machine-learning tree clustering algorithms (Hierarchical Risk Parity - HRP), Conditional Drawdown-at-Risk (CDaR), and Extreme Value Theory (EVT / VaR / Expected Shortfall) tail-risk shields.
    • High-Performance Deterministic Execution: Building low-latency, thread-safe financial execution pipelines and dynamic state tracking engines utilizing Modern C++ (C++17/20) and vectorized scientific Python (NumPy, Polars, SciPy).
                           ┌───────────────────────────────────────────────┐
                           │              MUSTAFA YAĞCI                    │
                           └───────────────────────┬───────────────────────┘
                                                   │
             ┌─────────────────────────────────────┴─────────────────────────────────────┐
             ▼                                                                           ▼
┌─────────────────────────────────────────┐                         ┌─────────────────────────────────────────┐
│     HARDWARE, SILICON & POWER SYSTEMS   │                         │  QUANTITATIVE & LOW-LATENCY SYSTEMS     │
├─────────────────────────────────────────┤                         ├─────────────────────────────────────────┤
│ • High-Power BLDC Inverters (84V / 40A) │                         │ • Market Microstructure & Order Flow    │
│ • Mixed-Signal PCB & Low-Noise AFE      │                         │ • Dollar/Volume Sampling & Trade Bars   │
│ • Instrumentation Stages (CMRR >100 dB) │                         │ • Convex Portfolio Optimization (HRP)   │
│ • FPGA RTL Synthesis (Vivado / AXI4)    │                         │ • Extreme Value Theory (EVT & VaR)      │
│ • Switch-Mode Power (Buck/Boost / PSIM) │                         │ • High-Throughput Modern C++20 & Python │
│ • Automated Virtual DAQ & ADC Testing   │                         │ • Low-Latency Execution Architecture    │
└─────────────────────────────────────────┘                         └─────────────────────────────────────────┘

🌟 Featured Engineering Pillars

⚡ High-Power BLDC Motor Driver

🎓 B.Sc. Capstone Graduation Thesis & EV Propulsion Inverter

Industrial 84V / 40A 3-phase sensored BLDC motor controller engineered for EV propulsion:

  • Power Stage & Hardware: 6x IRFB4110 MOSFET bridge ($V_{DS}=100\text{V}, I_D=180\text{A}, R_{DS(on)}=4.5\text{ m}\Omega$), high-current DC bus bar & RC snubber damping.
  • Firmware & Commutation: STM32F103 (72 MHz ARM Cortex-M3), 120° Hall sensors with Schmitt trigger filtering, Independent Unipolar PWM, SysTick soft-start ramp.
  • 🏆 Honors: 🥉 3rd Place Acceleration Challenge & 🏅 9th Place International Efficiency Challenge at TEKNOFEST 2023 with Mavera EV.

🧬 unipa-bioamp-pro

Precision Biomedical Analog Front-End & Solid Ground Shield (KiCad 8)

Custom biomedical biopotential acquisition board (ECG/EMG/EEG) engineered from first principles:

  • CMRR >100 dB: Precision INA128 instrumentation stage with matched resistor networks.
  • Active Noise Suppression: Driven Right Leg (DRL) circuit suppressing 50/60 Hz common-mode mains hum.
  • Signal Chain: 4-stage active bandpass & twin-T notch filter with complete Gerbers and assembly BOM.

🏛️ engineering-academic-portfolio

Undergraduate (B.Sc. Graduated) & Master's (M.Sc. Student, Ongoing) Practicum Archive

Complete historical archive of 94 files (~50 MB) across 6 years of laboratory research, industrial automation, and simulation models:

  • UniPa M.Sc. Research (Ongoing): 65p Industrial SMPS PSIM study (Buck/Boost CCM/DCM), 65p Virtual DAQ & 16-bit SAR ADC dynamic testing suite (49 custom LabVIEW VIs).
  • ESOGÜ Undergraduate Practicum: Verilog Mealy FSM, MATLAB Root-Locus/PID, Siemens TIA Portal V17 PLC, Thyristor Drives, RIE/SiO₂ microfabrication.
  • Open Hardware & Docs: 100% reproducible laboratory reports, PSIM/LTspice circuits, and measurement scripts.

⚡ microstructure-dollar-bars-engine

Tick-Level Flow Imbalance & Rolling Kalman Filter

Ultra-low-latency financial time series processor and market state estimation engine:

  • De Prado Dollar Bars: Sub-sampling tick streams by dollar volume to restore Gaussianity.
  • Order Flow Imbalance (OFI): Level-2 book delta tracking for short-term liquidity sweeps.
  • Rolling Kalman Filter: Dynamic hedge ratio and mean-reverting cointegration tracking.


🛠️ Technical Competencies & Toolchain

Domain Technologies, Frameworks & Tooling
EDA & Hardware Design
Languages & HDL
Quantitative & Scientific
Protocols & Interfaces
Applied Standards

📈 Activity & GitHub Metrics


📬 Contact & Collaboration

  • Email: mrmustafayagci@gmail.com
  • LinkedIn: Mustafa Yağcı
  • Academic Affiliation: Università degli Studi di Palermo (UniPa), M.Sc. Student in Electronic Engineering (Nov 2025 – Present / Ongoing)
Engineered with precision. © 2026 Mustafa Yağcı.

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