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Location: Austin, USA

Remote: Yes

Willing to relocate: Yes

Languages: Python, R, C, C++, Java, Go, Rust

Technologies: PyTorch, JAX, scikit-learn, Numpy, Hadoop, Spark/MLib, Kafka, ElasticSearch

Misc: Git, Docker, Kubernetes, GCP, Amazon EC2/S3, Unix, LATEX, LLVM, PostgreSQL, MongoDB

Résumé/CV: https://www.linkedin.com/in/rochan-avlur/, https://drive.google.com/file/d/1u5m3WRkYGyvnUZG4Ab8J49Ysu1d...

Email: rochan(dot)avlur(at)utexas(dot)edu

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Who am I?

* Grad student @ UT Austin (exp. Aug '23) with research experience in sequential decision-making ML (uncertainty quantification, risk-sensitive modelling, RL & Bayesian optimization) (4 conference papers, 2 in preparation).

* I’m also passionate & skilled at solving complex challenges that arise when building highly scalable multi-node systems to work with large-scale data corpora.

* I’m self-motivated & thrive on tackling complex problems, both independently & as part of a team.

What I'm looking for?

* Full-time SW/ML Engineering & Research roles at organizations (labs, start-ups & big-tech) that value innovative & collaborative thinking.

* Next Role: Thriving in cutting-edge ML & optimization research, collaborative team, innovative industry, modern software practices.

* Want to avoid: Stagnant environments, rigid hierarchies, outdated tech, siloed teams, lack of growth opportunities.

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