Summary
Akhil Rana is a Senior Machine Learning Engineer with nine years of experience building and deploying practical AI systems across remote sensing, medical imaging, and computer vision domains. He blends academic rigor from an MSc in Artificial Intelligence with hands-on industry work at Planet, Airbus Defence and Space, Avira, and KARL STORZ, owning end-to-end ML pipelines from data preprocessing to model deployment. His expertise spans generative AI, deep learning, and self-supervised methods tailored to low-label settings, and he has applied these to real-world problems like satellite imagery segmentation and medical image analysis. Akhil also brings freelance experience optimizing deep CNNs for edge deployment (TF-Lite) and experimenting with reinforcement learning for trading and control, showing a pragmatic focus on performance and resource efficiency. Based in Baden-Württemberg, Germany, he is known for turning research ideas into scalable production solutions and for pushing boundaries in self-supervised approaches where labeled data is scarce.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at ITM UNIVERSITY, GWALIOR
Master of Science (MSc), Artificial Intelligence, Master of Science (MSc), Artificial Intelligence at RPTU Kaiserslautern-Landau
English, Punjabi, Hindi, haryanvi