From 5c2b3e71c99efe7effa5033f770ee00500c424da Mon Sep 17 00:00:00 2001
From: Gustaf Rydholm <gustaf.rydholm@gmail.com>
Date: Sat, 11 Sep 2021 16:45:39 +0200
Subject: Rename files

---
 work.tex | 48 ------------------------------------------------
 1 file changed, 48 deletions(-)
 delete mode 100644 work.tex

(limited to 'work.tex')

diff --git a/work.tex b/work.tex
deleted file mode 100644
index e46616b..0000000
--- a/work.tex
+++ /dev/null
@@ -1,48 +0,0 @@
-\largesubsection{Experience}
-\vspace{0.4cm}
-% According to Google Recruiters, use the XYZ formula - Accomplished [X] as measured by [Y], by doing [Z]
-
-\company{Software Engineer}
-{Nexure}
-{Aug 2021 -- present}
-{Stockholm, Sweden}
-{
-Working with backend development for payment solutions.
-\\\\
-Keywords: Kotlin, backend, SQL, Spring Boot, AWS, Kubernetes, microservices, Docker, CI/CD
-\\
-}
-\ruler
-
-\company{Machine Learning/Software Engineer}
-{Saab}
-{Oct 2020 -- Aug 2021 \qquad 10 months}
-{Stockholm, Sweden}
-{
-Worked on a cloud application for the surveillance and intelligence domain. Developed deep learning models for multi-modal sequence predictions. I also did a lot of backend engineering and data mining. 
-\\\\
-Keywords: Python, Kubernetes, Helm, Deep Learning, data mining, microservices, Kafka, Docker, CI/CD
-\\
-}
-\ruler
-
-\company{Machine Learning Engineer}
-{Saab}
-{Aug 2018 -- Oct 2020 \qquad 2 years and 2 months}
-{Stockholm, Sweden}
-{
-Researched potential use cases for machine learning within the electronic warfare domain. I also developed simulation software for complex signal environments. This simulator allowed the entire research team to investigate new ideas quicker. \\\\
-Keywords: Python, VHDL, PyToch, Digital Signal Processing
-}\\
-
-\ruler
-
-%\company{Master's Thesis}
-%{Ericsson AB}
-%{Jan 2018 -- June 2018 \qquad 6 months}
-%{Stockholm, Sweden}
-%{
-%Built a \textbf{natural language processing} system using a biologically %inspired machine learning algorithm, called \textbf{Hierarchical Temporal %Memory}, for detecting anomalies in system logs. Demonstrated that the system %was able to achieve similar performance to the existing system. Developed with %\textbf{Python}, \textbf{NuPIC}, and \textbf{pandas}.
-%}\\
-
-%\ruler
-- 
cgit v1.2.3-70-g09d2

