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Curriculum vitae

Siddharth Paul

siddharth.paul@rutgers.edu · sidp24.github.io · github.com/sidp24 · linkedin.com/in/siddharth-paul24

Education

Rutgers University–New Brunswick · New Brunswick, NJ

Sept 2023 – May 2027

B.S. Physics · B.S. Computer Science · Minor in Mathematics

Physics: Advanced General Physics I & II, Modern Physics, Modern Optics, Thermal Physics, Modern Instrumentation, Computer-Based Experimentation, Research in PhysicsComputer Science: Introduction to Computer Science, Data Structures, Discrete Structures I & II, Introduction to Artificial IntelligenceMathematics: Calculus I & II, Multivariable Calculus, Linear Algebra, Differential Equations for Engineering & Physics, Advanced Calculus for Engineering (PDEs), Linear Optimization

Research interests

Point defects in wide-bandgap and two-dimensional materials, and engineering optically addressable spin defects for quantum sensing and quantum information.

Research

Undergraduate Researcher · Q-Sim Laboratory, Rutgers University (advisor Prof. Shaowen Chen)

Sept 2025 – Present

  • Study VB⁻ spin defects in hexagonal boron nitride created by helium-ion irradiation, correlating dose with defect yield and optical response.
  • Run SRIM/TRIM Monte Carlo campaigns (85 parameterized configurations) and turn the output into fluence-to-vacancy tables used to pick irradiation conditions.
  • Prepare samples by exfoliation and PC/PVA dry-transfer stacking; characterize them with ODMR and confocal photoluminescence.
  • Built Python pipelines covering 24 datasets from 3 instruments, cutting per-sample analysis from 2 hours to 10 minutes and retiring 12+ one-off scripts.
  • Mentored an Aresty-funded undergraduate through ODMR, sample preparation, and SRIM simulation.

Talks & reports

  • Report: Defect Generation in Hexagonal Boron Nitride (PL Scan 2, revised figures). Q-Sim Lab, Rutgers, Jan 2026.
  • Report: Defect Generation in Hexagonal Boron Nitride (second irradiation trial). Q-Sim Lab, Rutgers, Nov 2025.
  • Guest Speaker: IEEE Rutgers Annual Banquet. 2026.
  • Guest Speaker: Rutgers IDEA Program for Prospective ECE Students. 2026.
  • Keynote Speaker: NJASCD Conference. 2023.
  • Keynote Speaker: edWeb. 2023.

Experience

Software Engineering Intern · Iconectiv (Ericsson)

June 2025 – Aug 2025

  • Built Python microservices streaming telemetry from 8 internal systems into real-time dashboards, cutting monitoring pipeline runtime by 20%.
  • Integrated Tenable, GitHub, and lifecycle-management APIs into one compliance pipeline surfacing CVE, ownership, and patch data for 5+ teams.
  • Hardened Jenkins and AWS CodeBuild CI/CD across 15 repositories, reducing build failures by 30%.
  • Developed a searchable VM inventory covering 100+ assets across 6 environments.

Software Development Intern (DevOps) · Iconectiv (Ericsson)

May 2024 – Aug 2024

  • Built a monitoring platform mapping 200+ enterprise applications and their dependencies, replacing a recurring manual audit.
  • Wrote Python modules for update orchestration and security patching, compressing patch cycles from weeks to hours.
  • Shipped a Ruby on Rails + AngularJS dashboard suite with real-time alerts and system-health views.
  • Created a metadata engine aggregating 1,000+ GitHub repositories into 100+ internal dashboards.

Co-founder & Lead Engineer · Myndful

Aug 2022 – 2025

  • Co-founded an AI mental-health chatbot for students, serving 6,000+ monthly users across 5+ schools.
  • Built the stack on React, FastAPI, TensorFlow, and AWS EC2, and led rollouts across multiple districts.

Camp Lead · iCode Bridgewater

May 2023 – Aug 2023

  • Ran game-development and coding camps, guiding students through hands-on software projects.

Instructor · Code Ninjas

Aug 2021 – 2022

  • Taught JavaScript, Python, Lua, Java, and C# to students of all backgrounds.

Leadership

President & Build Lead · SCAR Robotics (Rutgers IEEE · VEX U)

Jan 2025 – Present

  • Lead a 150+ person team across mechanical, electrical, and software subteams through the full build-to-competition cycle each season.
  • Own the roster, a $25,000+ budget, sponsorship outreach, funding proposals to university departments, and travel grants for Worlds.
  • Implemented PID motion control and X-drive holonomic kinematics in PROS (C++), raising the autonomous routine to 110 points with path tracking inside 8 cm.
  • Train incoming members in the team's build process and code, and started Aether, a shared C++ framework for future seasons.

Honors

  • VEX U World Championship, Top 20 globally · SCAR Robotics2026
  • VEX U World Championship, Top 25 globally · SCAR Robotics2025
  • HackRU, First Place · HoloBrain2024
  • Keynote Speaker · NJASCD Conference · edWeb2023
  • Congressional App Challenge winner · NJ-06, Myndful2022

Skills

Experimental:
Confocal photoluminescence microscopy, ODMR, Grating spectrometer, Nanopositioning stages, Helium-ion irradiation, PC/PVA dry-transfer stacking, AFM analysis, Op-amp instrumentation, Thermistor calibration, DAC/ADC conversion
Simulation & analysis:
SRIM/TRIM Monte Carlo, Curve fitting (ODR, weighted LS), Fourier analysis, Signal-to-noise analysis, MATLAB, LabVIEW, GPIB acquisition, LaTeX
Languages:
Python, C++, Java, TypeScript, JavaScript, Go, SQL, Ruby
Libraries & frameworks:
NumPy, SciPy, pandas, Matplotlib, TensorFlow, OpenCV, React, Next.js, FastAPI, Streamlit
Infrastructure:
AWS (EC2, S3, Lambda), Docker, PostgreSQL, Redis, GitHub Actions, Jenkins, Linux, Git