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Mustafa-Yagci/README.md

Mustafa Yağcı

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


LinkedIn Email Location GitHub Portfolio


⚑ Architectural Thesis: Dual-Track Engineering

"Bridging the Nanosecond Gap: From Precision Silicon to Low-Latency Execution."

My work converges at the intersection of physical layer electronics and computational execution systems:

  1. Physical Layer & Silicon Architecture: Designing precision Analog Front-Ends (AFE) with CMRR >100 dB, synthesizing synthesizable FPGA RTL cores (Verilog/Vivado), architecting closed-loop power conversion topologies (Buck/Boost PI compensation), and developing virtual automated measurement instrumentation (LabVIEW / 16-bit SAR ADC).
  2. Computational Layer & Quantitative Systems: Engineering microstructural market state classifiers, calculating high-frequency dollar bar flows, deploying convex portfolio risk engines (Hierarchical Risk Parity, CDaR), and testing extreme tail-risk protection architectures.
                           β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                           β”‚              MUSTAFA YAĞCI                    β”‚
                           β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                                   β”‚
             β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
             β–Ό                                                                           β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚     PHYSICAL LAYER & HARDWARE SILICON   β”‚                         β”‚  COMPUTATIONAL LAYER & QUANT SYSTEMS    β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€                         β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ β€’ Mixed-Signal PCB & Low-Noise AFE      β”‚                         β”‚ β€’ Microstructure & Order Flow Imbalance β”‚
β”‚ β€’ Instrumentation Amps (CMRR >100 dB)   β”‚                         β”‚ β€’ Dollar/Volume Sampling & Trade Bars   β”‚
β”‚ β€’ FPGA RTL (SystemVerilog, AXI4-Stream) β”‚                         β”‚ β€’ Convex Portfolio Allocation (HRP/CDaR)β”‚
β”‚ β€’ Switch-Mode Power Topologies & PSIM   β”‚                         β”‚ β€’ EVT Value-at-Risk & Expected Shortfallβ”‚
β”‚ β€’ Virtual DAQ & ADC Characterization    β”‚                         β”‚ β€’ Deterministic Low-Latency Execution   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

🌟 Featured Engineering Pillars

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

Complete historical archive of 92 files (~49 MB) across 6 years of laboratory research, industrial automation, and simulation models:

  • ESOGÜ Lisans (2019–2025, Mezun): Verilog Mealy FSM, MATLAB State-Space & Root-Locus, Siemens TIA Portal V17 PLC, Thyristor Power Electronics, RIE/SiOβ‚‚ fabrication.
  • UniPa M.Sc. (KasΔ±m 2025–GΓΌnΓΌmΓΌz, Devam Ediyor / Γ–ΔŸrenci): 65p Industrial Switch-Mode Power Report, 65p Virtual DAQ & 16-bit SAR ADC Suite, BioAmp Pro AFE, Applied Electronics.

Precision 4-Layer Biomedical Analog Front-End (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.

High-Throughput Parameterized AXI4-Stream DSP Filter

Synthesizable RTL architecture for streaming digital signal processing targeting Xilinx 7-Series / UltraScale+:

  • RTL Architecture: Parameterized systolic FIR filter core with symmetric coefficient folding.
  • AXI4-Stream Protocol: Full backpressure flow control (`TREADY`/`TVALID`) with zero slip.
  • Verification: Self-checking testbench in cocotb and Vivado XSim verifying impulse and frequency responses.

Hierarchical Risk Parity & CDaR Convex Portfolio Allocator

Institutional portfolio optimization engine eliminating instability in Markowitz quadratic inversion:

  • Machine Learning Tree Clustering: Quasi-diagonalization of empirical asset correlation matrices.
  • Drawdown Risk Control: Conditional Drawdown-at-Risk (CDaR) linear programming constraints.
  • Walk-Forward Validation: Tested across rolling regimes with transaction-cost friction models.

πŸ›‘οΈ var-risk-shield

High-Throughput Tail-Risk & Extreme Value Theory Engine

Automated quantitative risk suite calculating multivariable exposure under non-Gaussian tail behavior:

  • EVT Peaks-Over-Threshold: Generalized Pareto Distribution (GPD) fitting for fat-tailed drawdowns.
  • Parametric & Historical VaR: Cornish-Fisher expansion incorporating skewness and excess kurtosis.
  • Kupiec & Christoffersen: Rigorous statistical backtesting for conditional coverage.

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.


πŸ› οΈ Technical Competencies & Toolchain

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

πŸ“ˆ Activity & GitHub Metrics


πŸ“¬ Contact & Collaboration

Engineered with precision. © 2026 Mustafa Yağcı.

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