PavanCyborg

Data Scientist

https://talent.gravityer.com/pavancyborg

Research in Quantum Computing Simulators and Algorithm Development.

CDAC-Hyderabad

Key Strengths

Strong focus on Quantum Computing and Quantum Machine Learning, demonstrated through multiple personal projects.
Proficiency in Python and Jupyter Notebook, essential for data science and quantum research.
Experience with various quantum frameworks like Qiskit and Cirq.
Practical experience with benchmarking quantum algorithms and simulators.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong interest in cutting-edge research areas like quantum computing, which aligns with an innovative and research-driven culture. The personal nature of all projects suggests self-motivation and a passion for learning. However, the lack of team-based projects or diverse industry experience limits the assessment of broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

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Projects

QSim1-and-QiskitML

September 3, 2025 – Present

Implementation of QSim Simulator with Qiskit 1.0 version and testing of Qiskit Machine Learning Examples

View Project

Benchmarking-Quantum-Algorithms

November 13, 2024 – February 25, 2025

Benchmarking popular Application oriented Quantum Algorithms using various frameworks (like Qiskit, CIRQ, etc).

View Project

QSIM_SupermarQ

September 3, 2024 – November 15, 2025

Execution of Supermarq examples with QSIM

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CAKES-Quantum-Course

April 18, 2024 – October 8, 2024

Notes for CAKES Quantum Computing Course

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QSIM_Benchmark_Implementation

February 28, 2024 – May 29, 2024

Benchmarking of algorithms mentioned in "QC-Apporiented-Benchmarks-suite" using dm_simulator

View Project

Bench

December 11, 2023 – December 19, 2023

Benchmarking Quantum Computing Algorithms using Google Cirq

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Benchmark-using-Docker

November 23, 2023 – November 23, 2023

Benchmark-using-Docker — GitHub repository

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Qiskit-Notes

November 9, 2023 – April 24, 2024

Qiskit notes for the beginners.

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Quantum-Benchmark

November 6, 2023 – November 20, 2023

Quantum-Benchmark — GitHub repository

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Simple-Voice-Assistant-with-Python-in-VSCode

July 30, 2020 – July 30, 2020

with help of Pyttsx andsome other modules

View Project

Key Strengths

Strong focus on Quantum Computing and Quantum Machine Learning, demonstrated through multiple personal projects.
Proficiency in Python and Jupyter Notebook, essential for data science and quantum research.
Experience with various quantum frameworks like Qiskit and Cirq.
Practical experience with benchmarking quantum algorithms and simulators.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.

PavanCyborg

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit