Resume

Jan. 2022 - Present

Post doctoral researcher at LMU Munich

I am currently a postdoc at BMC Munich, where I support chromatin biologists in advancing the understanding of chromatin structure and function through data analysis. My work involves analyzing bulk and single-cell RNA-seq data and communicating the results via easy-to-understand charts, plots, and R Markdown reports to collaborators. To ensure reproducibility, I encode the analyses into Snakemake pipelines. Additionally, I independently conduct research in prompt engineering, knowledge graphs, and biomedical information retrieval, aiming to enhance information extraction from research papers. I also develop full-stack AI applications using HTML, CSS, JavaScript, R, and Python.

Sep. 2015 - Dec. 2021

wissenschaftlicher Mitarbeiter at LMU Munich

During my PhD, I worked on multiple projects involving the analysis, integration, and visualization of high-throughput proteomics data from imaging and liquid chromatography-based mass spectrometry experiments. This work led to the development of command-line software pipelines in R. To facilitate ease of use for non-technical users, some of these pipelines were integrated into R Shiny apps and an Electron JS application.

Apr. 2012 - Dec. 2012

Senior software engineer at iCelero Banglore

I joined iCelero, a U.S.-based software company in Bangalore, as a Senior Software Engineer, where I worked on cutting-edge technologies such as Selenium WebDriver, Python, Java, and Autoit. At iCelero, I contributed to the development of a software pipeline to automate software testing.

Aug. 2009 - Mar. 2012

Research assistant at JNCASR

Following the successful completion of my BE project, I joined Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR) as a research assistant. At JNCASR, I contributed to a numerical computation project where I developed a C program to diagonalize large sparse matrices, a crucial tool for solving quantum chemistry problems, particularly those involving large-scale configuration interaction calculations of electronic wave functions. I also participated in a study investigating the low-energy properties of spinless fermions in two coupled chains using the density matrix renormalization group method. In collaboration with biologists at the institute, I developed a C program to predict the functions of hypothetical proteins using structural features from the Protein Data Bank (PDB). Additionally, I assisted in debugging the Fortran implementation of the ZINDO (Zerner's Intermediate Neglect of Differential Overlap) software to address memory leak issues.

Feb. 2009 - Jun. 2009

Intern at JNCASR

During my internship at JNCASR, I worked on my final year Bachelor's degree thesis, which involved developing a C program for the iterative calculation of the lowest eigenvalues and eigenvectors of large real-symmetric matrices.

Sep. 2015 - Dec. 2021

Ludwig Maximilian University of Munich | PhD in Computational Proteomics

In the past decade, proteomics data has accumulated rapidly, posing numerous computational challenges. During my Ph.D., I tackled three such challenges that demanded significant computational effort.

Jan. 2013 - May 2015

King AbdulAziz University | MSc. in Computer Engineering

During MS, I studied computational biology, algorithms, and machine learning. My research was targeted to extract meaningful information from complex systems like human PDZ domains-protein interaction network.

Sep. 2005 - Aug. 2009

Visvesvaraya Technological University | BE in Computer Engineering

During my bachelor's degree, I gained a solid foundation in both theoretical and practical aspects of core computer science subjects, including discrete mathematics, data structures, and algorithms. In my final year, I interned at the JNCASR. For my BE project, I developed a C program for the iterative calculation of the lowest eigenvalues and eigenvectors of large real-symmetric matrices.