25 years of diverse Engineering experience solving all kinds of problems with diverse computer languages and frameworks.
Experience on technical leadership of teams, mentoring individuals, setting technical direction on projects and open source. Solid math and engineering background which applied to bridge the gap from research projects and turn them into production or enable them with experimentation or technical challenges. Functional programming and algorithms. Multiply team productivity by guiding on good coding standards and practices, typing, static analysis, CI/CD etc. and building large scalable software teams.
* Developed the autonomous driving data platform at Rivian and helped ramp up distributed training infrastructure.
* Contributed and delivered multiple services in Amazon web services related to AI and ML
* Contributed to deep learning frameworks, developed new features, found solutions for complex problems related to parallel programming and threading
* Maintained Spark for the whole Amazon
* Delivered a GP hyperparameter optimization service for Amazon retail
Done many projects in C++, Python and Scala in areas of embedded, big data, GIS, machine learning, micro services and distributed systems.
Professional experience:
General broad knowledge in machine learning.
Functional, reactive, parallel and asynchronous programming.
Distributed computing.
Computational finance.
Bayesian optimization.
Deep learning.
Research and patents record:
https://scholar.google.com/citations?user=3rIVxcMAAAAJ&hl=en