Hi!

I'm Philip Pincencia

Computer Engineering & Mathematics @ UCSD

About Me

I am a Computer Engineering & Math student at UC San Diego interested in DSP, systems programming, embedded software, optimization, and machine learning. I enjoy building projects that connect math with computing.

C C++ Python MATLAB PyTorch SystemVerilog Linux Docker Vivado Git

Projects

01

Embedded IIR Sensor Filtering System

Implemented a real-time IIR filtering pipeline on Arduino using MPU6050 sensor data, reducing noise through exponential moving average filtering and validating results with MATLAB analysis.

CMATLABArduinoI2CSignal Processing
02

Audio Classification Pipeline

Developed an audio ML pipeline using spectrograms, MFCCs, mel features, and CNN-based models to classify music/audio samples with high test accuracy.

PythonPyTorchLibrosaDSPMachine Learning
03

Multithreaded Networking Simulator

Built a C++ client-server messaging simulator with non-blocking communication, destination routing, logging, and support for indefinite interactive client-to-client messaging.

C++NetworkingMultithreadingTCP/IP

Experience

Incoming PCIe Intern

Qualcomm

June 2026 - Sep 2026
  • Working on PCIe Endpoints using QEMU & OS knowledge.

Software Developer Intern

Ansys, part of Synopsys

Sep 2025 - Dec 2025
  • Optimized and debugged C# tooling workflows to improve engineering productivity and reduce CI/debug iteration time.
  • Built automation-focused improvements across development and testing processes using IDE, debugger, profiler, and Unix-based tooling.
  • Collaborated with engineering teams to improve software reliability, maintainability, and developer feedback loops.

Software Engineer Intern

huMannity Medtec

Jun 2025 - Aug 2025
  • Built a modular biosignal processing pipeline with structured configuration and validation using Python and Pydantic.
  • Performed feature engineering and parameter optimization on patient biosignals, improving robustness and accuracy by roughly 10%.
  • Integrated prompt orchestration, JSON-structured outputs, and detailed logging for reproducible biomedical data workflows.

Undergraduate Researcher

UC San Diego Jacobs School of Engineering

Jun 2024 - Aug 2024
  • Implemented a Variable Order Markov Model using a multiway trie in Python to analyze melodic complexity in music.
  • Processed chord changes using C++ and Regex to improve analysis efficiency across symbolic music datasets.
  • Presented research at the Summer Research Conference after receiving TRELS Scholarship funding.

Education

B.S. Computer Engineering, B.S. Mathematics

University of California, San Diego

Expected 2026
  • Top 8 Integration Bee @ UCSD

Coursework

Selected Courses Taken

ECE
  • ECE 35: Intro to Analog Design
  • ECE 45: Circuits and Systems
  • ECE 65: Analog Circuits
  • ECE 101: Linear Systems
  • ECE 108: Digital Circuits
  • ECE 109: Probability
  • ECE 111: Advanced Digital Design
  • ECE 158B: Data Networks II
  • ECE 161A: Intro to Digital Signal Processing
  • ECE 251A: Digital Signal Processing
  • ECE 253: Image Processing
  • ECE 269: Linear Algebra
  • ECE 273: Convex Optimization
CSE
  • CSE 30: Computer Systems
  • CSE 100: Advanced Data Structures
  • CSE 101: Algorithm Design & Analysis
  • CSE 120: Operating Systems
  • CSE 140: Digital Design
  • CSE 141: Computer Architecture
  • CSE 153: Machine Learning for Music
  • CSE 167: Computer Graphics
MATH
  • MATH 20E: Vector Calculus
  • MATH 100AB: Abstract Algebra I/II
  • MATH 120AB: Complex Analysis I/II
  • MATH 140AB: Real Analysis I/II
  • MATH 181A: Mathematical Statistics
  • MATH 187A: Cryptography
  • MATH 188: Algebraic Combinatorics
  • MATH 194: Mathematics of Finance
  • MATH 277A: Quantum Complexity Theory
  • MATH 285: Stochastic Processes