Saeideh Nazeri

Designed and deployed an instrument booking platform managing 100+ devices across physics and materials science labs, integrated with project numbers, user types, and cost reporting Built Python APIs and ETL pipelines connecting eLabFTW, internal wikis, databases, and CSV sources — enabling flexible, multi-purpose reporting Authored FAIR data management plans for 6 research areas, ensuring compliance with funding requirements

Implemented OpenBIS-based LIMS across 4 research facilities, building a 156 TB storage infrastructure Automated ETL pipelines for large-scale omics data ingestion (genomics, proteomics) Trained researchers on data management tools, driving high adoption rates

Applied the Grammatical-Restrained Hidden Conditional Random Field (GRHCRF) machine learning method to predict protein-protein interaction sites from sequence and structural data. Built end-to-end data pipelines to process FASTA and PDB files, extracting discriminative biological features Achieved ~60% accuracy, comparable to published benchmarks at the time Optimized pipeline performance using Cython, significantly reducing execution time Full source code and documentation available on GitHub: /tirhengam

Design, develop, and launch software in the e-payments industry