Rochisha Agarwal

Software Engineer

Uttarakhand, India4 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Strong background in Quantum Computing and Software Development.
Experience in high-performance and cloud environments.
Proven problem-solving skills in complex research projects.

Stackforce AI infers this person is a Research Software Engineer with a focus on Quantum Computing and Cloud Solutions.

Contact

rochisha.agarwal@bqpsim.com LinkedIn

Skills

Core Skills

Quantum ComputingSoftware DevelopmentCloud Computing

Other Skills

API DevelopmentAngular Command Line Interface (CLI)Angular MaterialArtificial Intelligence (AI)C#C++CUDACirqData ScienceDjangoGpuJavaScriptLaTeXMachine LearningMicrosoft Azure

About

Undergraduate at IIT Roorkee with a strong software development background. Have a knack for problem-solving. Open for software development roles.

Experience

Bosonq psi (bqp)

Research Software Engineer

Jun 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India

Designed and implemented a novel Quantum Monte Carlo Integration approach for uncertainty quantification in fluid dynamics simulations.
Developed scalable workflows for deploying quantum-classical algorithms in high-performance and cloud environments.
Improved computational efficiency and reliability through algorithmic optimization and system-level integration.
Led efforts in testing, benchmarking, and deployment to ensure production-grade robustness of scientific software.
Contributed to research outcomes showcased at leading aerospace forums, including AIAA AVIATION and SCITECH.

Python (Programming Language)C++Quantum ComputingAPI DevelopmentSoftware Development

Qutip

Open Source Developer

May 2024 – Present · 1 yr 10 mos

Software DevelopmentGpuMachine Learning

New york university abu dhabi

Technical Staff

Nov 2023 – May 2024 · 6 mos

Nextleap

Top PM Fellow

Nov 2023 – Mar 2024 · 4 mos

Cornell university

Research Assistant

Aug 2022 – Aug 2023 · 1 yr · Ithaca, New York, United States

Research assistant in Electrical and Computer Engineering department

Microsoft

2 roles

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos

Worked as a part of Azure Netperf and SkuQual Team to automate network performance testing in Azure Linux VMs.
Wrote bash scripts for setting RSS affinity to particular NUMA node on Linux VMs then automated the same through C#.

C#Shell ScriptingCloud ComputingMicrosoft Azure

Microsoft Engage'21 Participant

Jun 2021 – Jul 2021 · 1 mo

Node.js

Louisiana state university

Undergraduate Researcher

May 2021 – Apr 2022 · 11 mos

Vector institute

Undergraduate Research Assistant

Nov 2020 – Mar 2021 · 4 mos · Toronto, Ontario, Canada

Applied neural simulated annealing based on Recurrent Neural Network (RNN) on binary optimization problems.
Compared the optimization efficiency of variational neural simulated annealing and simulated annealing on the p-spin model.