Rahul Gupta, PhD

Data Engineer

Bengaluru, Karnataka, India9 yrs 1 mo experience

Key Highlights

Eight years of expertise in computational physics.
Proficient in multiple programming languages for simulations.
Recognized for impactful collaborative research.

Stackforce AI infers this person is a Data Scientist specializing in computational biology and high-performance simulations.

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Skills

Core Skills

Data ScienceProgramming LanguagesSoftware DevelopmentHigh Performance Computing (hpc)

Other Skills

Applied MathematicsBayesian statisticsBigQueryC++Data AnalysisData AnalyticsDeep LearningFluid simulationsFortranFourier AnalysisGitlabLaTeXLangevin dynamics simulationLattice Boltzmann Method (LBM)Linux

About

Experienced computational physicist with eight years of specialized expertise in research, active system modeling, and large-scale computer simulations. Proficient in C++, Fortran, Python, and Mathematica for developing simulations, analyzing data, and visualizing results. Recognized for collaborative research efforts resulting in impactful publications. Currently focused on optimizing code and developing software for Lattice Boltzmann Method (LBM) solvers in C++, with a keen interest in high-fidelity fluid and thermal simulations. Passionate about leveraging my diverse skill set in programming, software development, physics-based simulations, and analytics to drive meaningful contributions in software development, data science, and finance.

Experience

Creyon bio

Data Scientist

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

In my current role, I apply Bayesian statistics and Markov Chain Monte Carlo (MCMC) to model dose–response sequences and extract meaningful patterns in gene expression, contributing to data-driven insights in computational biology. I develop and optimize Python pipelines and packages that enhance the quality, reproducibility, and predictive power of neurotoxicity datasets. Additionally, I manage end-to-end biological data workflows—from quality control and curation to BigQuery (BQ) integration and routine analysis—ensuring scalable, reliable, and actionable results that directly support research and development objectives.

Bayesian statisticsMarkov Chain Monte Carlo (MCMC)PythonBigQueryData ScienceProgramming Languages

Sankhyasutra labs

SDE-III

Dec 2022 – Jun 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

Lead role in the development and optimization of C++ code for Lattice Boltzmann Method (LBM) solver, focusing on achieving high fidelity in fluid and thermal simulations.
Conducted extensive simulations and testing of particle solver, employing the Maxey-Riley equation, specifically tailored for cyclone separator applications.

C++Lattice Boltzmann Method (LBM)Fluid simulationsThermal simulationsSoftware DevelopmentHigh Performance Computing (HPC)