Saadullah Amin is a research engineer specializing in applied ML and NLP with a PhD from Saarland University and over eight years of experience bridging academic research and production AI. He designs and integrates GDPR-compliant intelligent document processing and multimodal LLM solutions at natif.ai, after leading research on information extraction, knowledge graphs, and weakly supervised biomedical relation extraction at DFKI and Saarland. His work spans practical SaaS deployments, academic publications at top venues (ICML, EACL, COLING, BioNLP), and proposal writing for EU/BMBF projects, reflecting both deep theory and product focus. Comfortable across Python, Django, and production stacks, he also has a track record of delivering 50+ client projects on Fiverr and leading small engineering teams in early-stage startups. Colleagues value his ability to turn complex, low-resource language problems into robust, deployable systems that respect privacy constraints.
8 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at National University of Sciences and Technology (NUST)
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at Saarland University
MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)
Contributions:2 reviews, 8 commits, 1 PR in 2 years 5 months
nlptransformersbionlpsupervisedlda
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