NASIM SIRJANI
Bremen
Summary
I am a computer vision specialist. I studied Electrical Engineer (Control), and my thesis on smart homes ignited my passion for transforming conventional systems into intelligent ones. I switched my sub-major to Bioelectric and chose a dissertation topic in neuroscience. I spent a lot of time studying neuroscience, which interested me in Artificial Intelligence. The parallels between the brain’s intricate workings and AI’s potential to mimic and enhance human capabilities captivated my imagination.
Overview
5
5
years of professional experience
Work History
Computer Vision Specialist
Tentamus Group (QSI, TIH)
04.2022 - Current
- Developed an automated colony detecting and counting system for Petri dishes, seamlessly integrated into a practical counter device for real-life scenarios
- Introduced an innovative algorithm for tracking and accurately counting pigs, significantly enhancing operational efficiency within a pig slaughterhouse
- Precisely detected and counted diverse pollen kinds using an enhanced deep neural network
- Generated Authentic Pollen Images with Generative Adversarial Networks
- Devised an innovative algorithm to generate synthetic datasets for the colonies counting project.
Artificial Intelligence Specialist
Med Fanavaran Plus Co, MFP
07.2019 - 04.2022
- Developed a novel automatic cardiac evaluation using a deep video object segmentation network, integrated into an ultrasound device for advanced diagnostics and published in Insights into Imaging (2022)
- Built an enhanced deep-learning model for breast lesion classification into an ultrasound device, leading to its publication in Physica Medica
- Segmented diverse regions within echocardiography images, ultimately contributing to the integration of this work into an ultrasound device
- Classification and segmentation of diverse obstetric views within ultrasound image datasets, employing advanced methodologies to enhance diagnostic accuracy
- Designed an improved generative adversarial network to augment medical images
- Developed Federated Learning techniques for the purpose of lung cancer classification.
Machine Learning Engineer
UpWork.com, Freelancer.com, Parscoders.com
04.2018 - 07.2019
- Developed an innovative deep-neural network model that accurately predicts weather conditions for the next four days
- Classification of sentences based on sentiment, building advanced natural language processing techniques to discern emotional tones and attitudes
- Produced diverse ML projects encompassing classification, clustering, noise reduction, and recommender systems, expert in advanced algorithms for data-driven solutions.
Education
Master of Science - Bioelectric
Sharif University of Technology
Tehran, Iran11.2018
Bachelor of Science - Electrical Engineer (Control)
Imam Khomeini International University
Qazvin, Iran06.2015
Skills
- Programming Languages: Python, Matlab, R
- Machine Learning: Tensorflow, Keras, Pytorch, ScikitLearn, Pycaret
- Data Manipulation: OpenCv, Pandas, Numpy, Matplotlib, PIL
- Database: MySQL, PostgreSQL
- Machine Learning Expertise: Exploratory Data Analysis (EDA), Convolutional Neural Network (CNN) Architectures, TransFormer Architecture, Model Compression (quantization, pruning), MLops
- Tools, Platforms and frameworks: Airflow, MLFlow, TFX, FastAPI, Azure, DagsHub, BentoML, Docker, Gradio, Kubernetes, Pytest
- Version Control: Git, DVC, GitHub
Soft Skills
- Time Management, Adaptability, Problem-Solving, Teamwork, Interpersonal Skills, Active Listening, Communication
Languages
Persian
Bilingual or Proficient (C2)
English
Advanced (C1)
German
Elementary (A2)
Timeline
Computer Vision Specialist
Tentamus Group (QSI, TIH)
04.2022 - Current
Artificial Intelligence Specialist
Med Fanavaran Plus Co, MFP
07.2019 - 04.2022
Machine Learning Engineer
UpWork.com, Freelancer.com, Parscoders.com
04.2018 - 07.2019
Master of Science - Bioelectric
Sharif University of Technology
Bachelor of Science - Electrical Engineer (Control)
Imam Khomeini International University
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