MSCS · Northeastern University · Boston

DhairyaPatel

Quantum Computing Engineer

Bridging qubits and bits, one project at a time.

80+

Students Mentored

MIT iQuHack

IBM Qiskit Summer School

SCROLL

— Selected Work —

Projects

▸ Featured

H

HPC / QEC Systems Code

Surface Code Threshold Simulator

Built a modular, scalable backend simulation pipeline using Stim v1.14 with circuit-level depolarizing noise and PyMatching v2.3 MWPM decoding. Reproduced the fault-tolerance threshold at ~0.75% across code distances d ∈ {3,5,7,9,11} over 40 parameter combinations, verifying 8.1× LER suppression below threshold.

PythonStimPyMatchingSinterQECHPC
View on GitHub →
X

ML-Driven Quantum Pulse Synthesis

AutoPulseSynth

Translated cutting-edge research into a production-ready backend service. Applied IR-style representations and surrogate-assisted optimisation achieving 95% worst-case X-gate fidelity under ±2 MHz drift via Lindblad solvers.

PythonQuTiPScikitSciPy
View on GitHub →

2025 & 2026 — Code'25 / Code'26

MIT iQuHack Quantum Hackathon

2026: Engineered ML pipeline for quantum circuit optimisation achieving 66.7% prediction accuracy with robust generalisation to unseen quantum algorithms. 2025: Hardware-constrained optimisation for MaxCut on IonQ, achieving transpilation score of 0.78606.

PythonQiskitMLIonQOpenQASM
View on GitHub →
U

Research Reproduction & Validation

Quantum ML Research Framework

Reproduced three peer-reviewed quantum systems papers (SC'23, ICCV'23, ASPLOS'21) covering neutral-atom compilation (Graphine), quantum GANs, and NISQ error mitigation (QRAFT). Validated core claims across 17+ benchmarks.

PythonQiskitPyTorchNISQResearch
M

Demo · FastAPI / React / REST

Prime Plot: ML-Driven Business Analytics

Designed and deployed a scalable FastAPI REST backend serving ML predictions over 10k+ geospatial datapoints. Achieved 90% accuracy in site selection through KNN and demographic feature engineering.

PythonRESTFastAPIMLNumPy

Quantum Portfolio Optimisation

Implements and compares quantum computing approaches for portfolio optimisation in finance.

PythonQiskitJupyter
GitHub →

Quantum ML vs Classical ML

Comparison and study of QML and Classical ML for Iris Dataset classification.

PythonQiskitScikit
GitHub →

Quantum Cryptography

BB84/BBM92 Protocol demonstration in an interactive Streamlit application using Qiskit.

PythonQiskitStreamlit
GitHub →

Quantum Coin Flip Prediction

A quantum circuit simulating a coin flip with a QML model predicting the outcome.

PythonQiskitML
GitHub →

Quantum Error Correction

Implementation of quantum error correction techniques with interactive Streamlit visualisation.

PythonQiskitStreamlit
GitHub →

Research: QRAFT

PDF

Critical summary and reproduction of QRAFT — quantum runtime assertions for testing.

ResearchNISQQiskit
View Paper →

Research: Graphine

PDF

Critical analysis of Graphine framework for quantum circuit synthesis and optimisation.

ResearchQiskit
View Paper →

— Professional History —

Experience

TA

Graduate Teaching Assistant

CURRENT

Advanced Systems Development (C#)

Northeastern University — Khoury College · Boston, MA · Jan 2026 – Present

  • Mentoring 45+ students in building production-grade networked services and data pipelines.
  • Guiding development of high-performance backend applications with emphasis on reliability, scalability, and maintainability.
C#.NETSystemsNetworking
TA

Lead Graduate Teaching Assistant

Systems Programming (C++)

Northeastern University — Khoury College · Boston, MA · Jan 2025 – Apr 2025

  • Led instruction on memory management, concurrency, and performance optimisation for 35+ students.
  • Maintained production-critical codebases focusing on systems-level programming and API design best practices.
C++ConcurrencyMemory MgmtSystems
SWE

Software Engineering Intern

AI/ML Backend Systems

Monnai Inc. · Karnataka, India · Feb 2023 – May 2023

  • Developed automated ML data processing pipelines in Python/C++ for 50+ financial profiles.
  • Engineered optimisation algorithms reducing processing overhead by 70% while maintaining 99% reliability.
PythonC++ML PipelinesFinTech

Visiting Student — Mission Robotics

Space Education Program

Kennedy Space Center · Orlando, FL · May 2013

  • Completed robotics workshops including Mars Rover simulations and logic-based navigation tasks.
  • Visited key NASA launch facilities during a 3-day immersive space education program.
RoboticsNASASpace Engineering

— Who I Am —

About Me

Dhairya at desk

I'm Dhairya — a Computer Science graduate student specialising in Quantum Computing at Northeastern University's Khoury College. I design and build production-grade quantum systems, backend services, and ML pipelines that bridge theoretical research with real-world hardware constraints.

When I'm not debugging quantum circuits or optimising HPC pipelines, I'm probably listening to F1 race commentary, gaming, or playing guitar.

Education

M.S. Computer Science — Quantum Computing

Northeastern University · Khoury College · Boston, MA

Expected: April 2026

Research Focus

Quantum MLTensor NetworksAI Model OptimizationNISQ Algorithms

▸ Technical Skills — Quantum Circuit View

|Q⟩
Quantum Computing
StimPyMatchingQiskitCirqPennylaneQuTiPQEC / Surface CodesPulse-Level Control
|M⟩
AI / ML & Optimization
PyTorchScikit-learnNumPySciPyTensor NetworksModel Compression
|S⟩
Backend & Systems
Python (5+ yrs)FastAPIRESTgRPCC++C#Node.jsDjango / Flask
|D⟩
DevOps & Cloud
AWSDockerKubernetesCI/CD (GitHub Actions)PrometheusGrafanaTerraformLinux

▸ Certifications

Q-CTRL Black Opal

In Progress

Quantum Computing Foundations & Control

Q-CTRL

AWS Cloud Fundamentals

Feb 2026

Cloud Architecture & Distributed Systems

Amazon Web Services

IBM Quantum Global Summer School

Aug 2024, 2025

Quantum Algorithm Development & Hardware Systems

IBM Quantum

— Let's Connect —

Contact

$ reach-out --quantum dhairya_
Open to quantum computing & ML systems roles · May/Jun 2026

I'm actively looking for new connections in quantum computing, ML systems, and software engineering. Feel free to reach out — I'll get back to you quickly.