Summary
Nikhil Paliwal is a Machine Learning Engineer with eight years of experience melding research and product-focused AI, currently based in Cologne while completing an MS in Data Science and AI at Saarland University. He has a strong track record across research labs and industry—DFKI, DLR, Google Summer of Code and autonomous-driving startups—where he delivered practical gains like a 50x inference-speed improvement and developed self-supervised and continual representation-learning solutions. His technical breadth spans 2D/3D computer vision, point clouds and calibration, segmentation and pose, large models and model-compression techniques, plus deployment in Docker/AWS/CICD. Nikhil repeatedly bridges theory and engineering: implementing papers end-to-end, optimizing models for resource-constrained deployment, and applying contrastive pretraining for temporal generalization. He thrives on competitive challenges and hands-on projects, often digging into low-level C++ or Python OOP to squeeze extra performance from complex pipelines. Ambitious about unsupervised domain adaptation and self-supervised learning, he seeks roles that push both research depth and real-world impact.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer and Communication Engineering, Bachelor's degree Computer and Communication Engineering at The LNM Institute of Information Technology
Master of Science - MS Data Science and Artificial Intelligence, Master of Science - MS Data Science and Artificial Intelligence at Universität des Saarlandes