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* Want to avoid: Stagnant environments, rigid hierarchies, outdated tech, siloed teams, lack of growth opportunities.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