I'm a Computer Science undergraduate interested in building reliable software, quantum algorithms, and developing tools that make complex computational workflows easier to understand, evaluate, and reproduce.

My primary focus is quantum computing and software development, with hands-on work in Qiskit, quantum algorithm benchmarking, QAOA, and noise-aware simulation. I also enjoy working across software engineering, AI/ML, and data-driven applications.

I believe good technical work goes beyond making something run — it should be well-structured, testable, documented, and reproducible.

QAOA-Tuner

A Qiskit-based experimental framework for evaluating QAOA configurations for graph coloring under simulated noise.

• Compares solution quality and performance across experimental configurations.
• Explores readout error mitigation and zero-noise extrapolation (ZNE).
• Includes experiment outputs, visualizations, and an interactive dashboard.
• Uses quantum circuit simulation rather than real quantum hardware.

Quantum Algorithm Benchmarking

A Python framework for implementing quantum algorithms and collecting circuit-level metrics with Qiskit.

• Implements Deutsch, Bernstein–Vazirani, Grover's search, and Quantum Fourier Transform (QFT).
• Measures circuit depth, gate counts, and qubit requirements.
• Exports results for analysis and visualization.

I also build software and machine learning projects involving data processing, model evaluation, APIs, and user-facing applications.

My interests include writing maintainable Python code, designing useful developer tools, building reproducible experiments, and turning technical ideas into working applications.

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Languages

Python · C++ · C · Java · SQL · JavaScript

Quantum Computing

Qiskit · Qiskit Aer · Quantum Circuits · Quantum Algorithms · QAOA

AI / Machine Learning

Scikit-learn · Pandas · NumPy · NLP · Model Evaluation

Software Development

Git · GitHub · REST APIs · FastAPI · Flask · React · Pytest

Scientific Computing & Visualization

SciPy · Matplotlib · NetworkX · Data Analysis

• Quantum software development and developer tooling
• Quantum algorithms, benchmarking, and noise analysis
• Software architecture, testing, and reproducibility
• AI/ML applications and data-driven systems
• Open-source collaboration and developer communities

Strengthening my foundations in quantum computing, Python implementation, software engineering, and experimental evaluation through hands-on projects and continuous learning.

• LinkedIn: Mitali Jain
• GitHub: @emjayy13

Always happy to connect with developers, quantum computing enthusiasts, and open-source contributors!