jithin pradeep Cognitive Research Scientist | Artificial general intelligence enthusiast

Jithin Pradeep



Master of Science, Applied Cognition and Neuroscience, UT Dallas
Specialization: Cognitive Modelling and Intelligent Systems      Aug 2016 – May 2018
Bachelor of Technology, Computer Science Engineering, Cochin University of Science and Technology, Cochin, India
Specialization: Machine learning and Swarms Intelligence      Sep 2008 - Jul 2012

Technical Skills

Favorite Topics/Top Skills:
Cognition-based Computational Modelling, Artificial intelligence (AI), Machine learning, NLP, Computer vision, Mixed reality.
OS/Platforms: AR-Augment reality (Microsoft HoloLens), VR-Virtual Reality (Oculus and HTC Vive), Linux, Windows, HP Nonstop Kernel
Scripting and Programming Languages: C, C++, Python, C#, Java, MATLAB, TAL, TACL, HTML, CSS, Groovy, PHP.
Software Tools/ Framework:
Jupyter Notebook, Pycharm, Domino Datascience Lab, Visual Studio, Unity, IBM SPSS, Wamp, Git, Adobe Brackets, MS-Office, Tensorflow, XGBoost, Theano, Keras, Scikit-learn, OpenCV, NumPy, Pandas, NLTK, MRTK, SAFe- Scaled Agile Framework, Weka, LaTeX, Mercurial, SourceTree, Jira, SVN, Clear Case, Pargon transaction simulator.
Database and Client/Server Technologies:
Hadoop, MySQL, Hive, NoSQL, MongoDB, SQL/MP, Enscribe, MS-Access

Research/Work Experience

The Vanguard Group Inc as Research Scientist (Neural networks, NLP and Data Science)      March 2017 - Jan 2019

Center for Modeling and Simulation Laboratory, UT Dallas as Research and Development Engineer      March 2017 - Jan 2019

Mathematical Analyses of Artificial Neural Networks Laboratory, UT Dallas as Graduate Research Assiatant      Dec 2016 - Dec 2017

Accenture as Senior Software Engineering Analyst      Dec 2012 - Jul 2016

Dec 2015- Jul 2016   Senior Analyst Software Engineering
Mar 2014- Nov 2015   Analyst Software Engineering
Dec 2012- Feb 2014   Associate Software Engineering

Python 101 for Data Science-IBMDeep Learning Fundamentals-IBMDeep Learning with TensorFlow-IBM
GANs and Variational Autoencoders-UdemyModern Deep Learning in Python-UdemyRecurrent Neural Networks in Python-Udemy
Machine Learning by Stanford University-Courserapandas for Data Science-Linkedin

I’m also available for consulting, so feel free to contact me if it looks like we could work together.