JavaScript, Matlab, Python, Scala; TensorFlow (1.0/2.0), TFDV, TFT, Keras; Scalding, Spark; Airflow, Git, Jenkins; MapInfo, QGIS; CSS, HTML, XML.
Google Cloud Training
Google Cloud
Google Cloud Training
Google Cloud
Google Cloud Training
Google Cloud
NVIDIA Deep Learning Institute
NVIDIA
Duties: consulting in production-ready scalable data science solutions.
Gains: learned various open source and cloud technologies; training toward GCP certification; tasks for business development.
Duties: development of ETL tasks using Scalding and Spark on top of Scala; pipeline monitoring based on Airflow; ad-hoc data analyses based on AWS Athena, Google BigQuery and Python.
Gains: learned technology stack; participated in all stages of development (requirement analysis, coding, testing, deployment, maintenance and reporting); project management using Jira; attended status meetings.
Duties: implemented a ConvNet for impervious surface mapping using TensorFlow on top of Python; designed a general framework for feature extraction.
Gains: set up programming development environment, learned literature, prepared and delivered presentation, attended status meetings.
Duties: developed a framework for formal and simple analyses of cryptographic schemes; designed a job-scheduling application in a visual programming language and proposed a type-system for a OO+CP language.
Gains: organized information, analyzed problems, synthesized knowledge, communicated effectively orally and in writing, worked independently; learned literature, wrote papers independently or in collaboration, delivered talks, reviewed papers.
Duties: undergraduate level teaching-assistance or lecturing; surveying and GIS; compiler construction; discrete and applied math.
Gains: managed lecturing time, designed and graded evaluations, provided feedback, led group discussions, spoke effectively, listened attentively.
A few articles and several presentations at international venues.