Since 85% of AI projects fail, credentials are more important than experience.
The best demonstration of my knowledge, skills, and abilities are: MS in Mathematics, MSCS in Artificial Intelligence, 3.97 graduate GPA and 4.0 undergraduate GPA, GitHub repos, published articles, and certifications.
Services include almost any software engineering project that involves Machine Learning, Computer vision, Natural Language Processing, Reinforcement Learning, MLOps, and Robotics.
Programming Languages: C/C++, C#, Python, Rust, and more.
AI/ML Tools: Anaconda, Miniforge, Python, NumPy, Pandas, SciPy, Matplotlib, Plotly, scikit-learn, PyTorch, Tensorflow/Keras, OpenAI, OpenCV, OpenCL, OpenMP, OpenPBS, Hadoop, Kafka, PySpark, SpaCy, NLTK, Kedro, statsmodels, pyca, and more.
AutoML Tools: AutoGluon, Orange, PyCaret, DataPrep, Dart, Auto-ViML, H20, Orange, KerasTuner, and Optuna, and more.
Development Tools: DataGrip, DataSpell, Eclipse, LAMP, PyCharm, Visual Studio, and more.
Services include virtually any software engineering project such as Desktop, Web, Mobile, CI/CD, Distributed Systems, Encryption and Authentication, and IoT development using C/C++, C#, Java, and more.
In a nutshell, use the best tools and programming language for the job.
Programming Languages: C/C++, C#, Go, Java/JEE, Perl, PHP, Python, Rust, and more.
Development Tools: Azure Devops, Docker, Nova, Rider, Visual Studio, and more.
Application Servers: IIS, Apache, Identity Server, Glassfish, Docker, Websphere, and more.
Databases: SQL Server, MySQL, Oracle, MongoDB, SQLite, DB2, and more.
Operating Systems: Linux, macOS, iOS, Windows, Raspberry Pi, and more.
Web/Mobile Technologies: ASP.Net Core MVC, ASP.Net Core Razor Pages, Flutter, Xamarin Forms, ASP.NET Core Identity, Entity Framework, REST, gRPC, and more.
Here is a collection of my personal projects that are publicly available.
Ready to collaborate on a project?
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