Hi, I'm Behrooz (Ermia)

Based in “127.0.0.1”

As a data scientist and AI researcher, I’m engaged in developing deep learning and machine learning models to improve the efficiency and management of information.

Hi, I'm Behrooz (Ermia)

Based in “127.0.0.1”

As a data scientist and AI researcher, I’m engaged in developing deep learning and machine learning models to improve the efficiency and management of information.

About Me

About Me

These days, I am fascinated by understanding behaviors of advanced intelligent systems, such as large language models, diffusion models, and multi-modal neural networks, and aligning them effectively with human desire.

As a researcher in the field of Artificial Intelligence, I am fortunate to have had the opportunity to delve into a wide range of disciplines. My areas of expertise include Large Language Models (LLMs), Vision-Language Representation Learning, and Self/Semi/Weakly Supervised Learning.

I have had the privilege of working alongside esteemed organizations such as UC Berkeley and Georgia Tech, where I have contributed to cutting-edge research initiatives. Through these experiences, I have gained a deeper understanding of the complexities and nuances of the field, and I remain committed to furthering my knowledge in pursuit of scientific advancement.

behrooz azarkhalili

My Experience

Python
0%
R
0%
Matlab
0%
Scala
0%
UNIX Shell Scripting
0%
TensorFlow
0%
Keras
0%
Pytorch
0%
PyTorch Lightning
0%
Scikit-Learn
0%
Heroku
0%
Streamlit
0%
Gradio
0%
MLEM
0%
FastaAPI
0%
Docker
0%
Optuna
0%
Weights & Biases
0%
MLflow
0%
Neptune
0%
SQL
0%
Spark
0%
MongoDB
0%
Redis
0%
Elastic Search
0%
Microsoft Windows family
0%
Mint
0%
Ubuntu
0%
Red Hat
0%
Fedora
0%
Ph.D in Biosystems Science and Engineering

Jan 2021 – Jan 2022 (Withdraw)

M.Sc in Applied Mathematics

September 2013 – July 2015

B.Sc in Mathematics

September 2005 – July 2010

B.Sc in Aerospace Engineering

September 2005 – July 2010

Researcher

Part Time | Remote

Jan 2020 – Present

Responsibilities:
• Developing Graph Neural Networks for Drug-Target interaction problems.

Tools:

Prinicpal Data Scientist

Part Time | Remote

July 2019 – Present

Responsibilities:
• Developing Deep Learning Algorithms for Cell-Oriented Drug Discovery Problems.
• Providing Statistical & Bioinformatics Analysis of Data.

Tools:

Data Scientist

Part Time | Remote

Feb 2021 – July 2022

Responsibilities:
• Developing Deep Learning Algorithms to Analyze more than 40 million Customer’s Data.

Tools:

Data Scientist

Part Time | Remote

Jun 2020 – Jan 2021

Responsibilities:
• Developing Machine Learning Algorithms to Analyze more than 40 million Customer’s
Data.

Tools:

Data Scientist

Part Time | Remote

Sep 2018 – Jan 2019

Responsibilities:
• Developing Advanced Recurrent Neural Networks for DNA Sequencing Problem.
• Providing Statistical & Bioinformatics Analysis of Data.

Tools:

Chief Data Scientist

Full Time | Office

Nov 2015 to Oct 2018, Dec 2018 to June 2020

Responsibilities:
• Developing Data Analysis and Machine Learning Algorithms.
• Developing Packages and Softwares for Statistical Analysis of Customer’s Data.

Tools:

PhD Scholarship Awards

Department of Biomedical Data Science

Jan 2020

PhD Scholarship Awards

Department of Biosystems Science and Engineering

Jan 2020

Research Scholarship Awards

Swiss Data Science Center (SDSC)

Sep 2017

Research Scholarship Awards

LIONS lab, Department of Electrical Engineering

June 2016

Research Scholarship Awards

Department of Mathematics

June 2015

PhD Scholarship Awards

Department of Computer Science

Jan 2014

Services

AI Services

I provide end-to-end deep learning pipeline design, modeling and deployment services.

Ideation

Providing assistance in defining problems, conducting feasibility studies, and defining project scope.

Exploratory Data Analysis

Obtaining and analyzing data, examining insights from datasets, and assessing biases and imbalances in datasets.

Data Labeling and Cleaning

Cleaning and debiasing data, creating datasets, defining features, and transforming data.

Model Development

Training and evaluating the model on data and selecting the most promising models to be further developed.

Hyper Parameter Optimization

Utilizing a hyperparameter optimization algorithm to gain optimal performance from the model.

Model Optimization

Optimize the model for inferencing by quantization and conversion into a portable form such as OpenVINO, ONNX, and TFlite.

Blogs

Recent News

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Contact

Let's discuss your project

I’m always open to discussing product

design work or partnerships.

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