Maryam Eslami
Machine Learning Engineer at Deep Safety GmbH
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolMaryam Eslami is a Machine Learning Engineer based in Berlin with 8 years of software and research experience and over 6 years focused on computer vision and autonomous systems. She blends academic R&D with industrial-grade engineering, delivering robust perception models through techniques like synthetic data generation, camera–LiDAR calibration, and uncertainty-aware inference for safer real-world deployment. Her background spans recommendation systems and NLP—building large-scale image embeddings, a hybrid generative/retrieval chatbot, and purchase-prediction dashboards—showing versatility across vision and language. Notably, she has implemented real-time depth estimation and an inpainting pipeline for object removal, emphasizing both visual quality and model accuracy. With a Master’s in AI and hands-on backend and mobile development experience, she turns research insights into production-ready systems that prioritize reliability and interpretability.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Iran University of Science and TechnologyBachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at University of Tehran
German, Persian, English
Github Skills (9)
binary-classification8
android5
android-library4
reveal3
navigation-drawer2
material-ui2
android-animation2
material-design2
interpretation1
Programming languages (2)
Github contributions (5)
mseslami/breast-cancer-detection
Nov 2021 - Dec 2022
The goal is to reach a high recall of a binary classification on breast cancer dataset; there is at least two models based on CNNs and transformers (ViT model).
Contributions:11 commits, 4 PRs, 8 pushes in 1 year
binary-classification
mseslami/CountDownTextView
Aug 2020 - Apr 2023
Contributions:3 pushes in 2 years 8 months
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