Summary
Wasim Aftab is a postdoctoral researcher and bioinformatics software engineer with over eight years of experience applying machine learning and generative AI to biomedical problems. He holds a PhD in Bioinformatics (magna cum laude) specializing in proteomics and combines strong engineering skills (Python, R, JavaScript) with production deployments on DigitalOcean and AWS. Notable achievements include a Graph-RAG biomedical QA app that improved information retrieval by 137.5% and Snakemake pipelines that halved NGS processing time while boosting reproducibility. He has built R packages, Shiny and Electron apps used by multiple labs and developed one-shot learning tools for protein complex prediction, bridging wet-lab needs and scalable computational solutions. Based in Neuried, Bavaria, he brings a rare blend of high-performance computing roots, ML expertise (Bayesian methods, BERT/GPT, deep learning), and practical experience turning omics research into deployable tools.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗛𝗶𝗴𝗵 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴), 𝗙𝗶𝗿𝘀𝘁 𝗖𝗹𝗮𝘀𝘀 𝘄𝗶𝘁𝗵 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻, Bachelor of Engineering, Computer Engineering, (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗛𝗶𝗴𝗵 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴), 𝗙𝗶𝗿𝘀𝘁 𝗖𝗹𝗮𝘀𝘀 𝘄𝗶𝘁𝗵 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻 at Visvesvaraya Technological University
Doctor of Philosophy - PhD, Bioinformatics (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗣𝗿𝗼𝘁𝗲𝗼𝗺𝗶𝗰𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀), 𝗠𝗮𝗴𝗻𝗮 𝗰𝘂𝗺 𝗹𝗮𝘂𝗱𝗲, Doctor of Philosophy - PhD, Bioinformatics (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗣𝗿𝗼𝘁𝗲𝗼𝗺𝗶𝗰𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀), 𝗠𝗮𝗴𝗻𝗮 𝗰𝘂𝗺 𝗹𝗮𝘂𝗱𝗲 at Ludwig-Maximilians-Universität München
MSc, Computer Engineering (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴), 𝗔+, MSc, Computer Engineering (𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴), 𝗔+ at King AbdulAziz University
Hindi, Bengali, Arabic, English, German