About
Aditya Devendra Panchal
Detail Oriented Master's student, studying Data Science at Freie Universität Berlin, with a passion for engineering.
My Interests: Machine Learning, Explainable AI, Gen-AI, and Deep Learning.
Currently, I am a Working Student in R&D at Siemens AG, focusing on conformance testing for the IEC 61850 electronic communications standard.
Previously, I was a Working Student in the Department of Veterinary Medicine at Ludwig-Maximilians-Universität, München. Being a member of the 'Populations Genomic Group', I contributed to the creation of a pipeline for combined Linkage Disequilibrium and Linkage Analysis (cLDLA) helpful for gene-trait mapping. I also worked on a phylogeny project for outlier detection in a given popluation.
Prior to that, as a part of my Bachelor's Thesis, I helped developed a honeypot for a cybersecurity NGO. I also helped them set up a 'Security Operations Centre (SOC)' for realtime Indicators of Compromise (IoCs) detection using open-source tools such as Wazuh, Coretex, MISP, and the Hive. Additionally, I also worked on Apache Struts RCE and log4j vulnerability scanners.
I am also honored to be a reciever of the Deutschlandstipendium 2023 :)
Outside of work, I like to enjoy a peaceful evening by the water, trekking, and cooking.