update

full-stack/compileResume.js

@@ -0,0 +1,34 @@
+import resumeCompiler from "../index.js";
+import cv, { profile } from "./cv.js";
+
+const fonts = {
+  defaultFont: {
+    normal: "example/fonts/SalvoSans-Light2.ttf",
+    italics: "example/fonts/SalvoSans-Light-Italic.ttf",
+    bold: "example/fonts/SalvoSans-Medium2.ttf",
+  },
+  childTitleFont: {
+    bold: "example/fonts/SalvoSans-Bold.ttf",
+  },
+  headerFont: {
+    bold: "example/fonts/Barlow-Bold.ttf",
+    bolditalics: "example/fonts/Barlow-Bolditalic.ttf",
+  },
+};
+
+const factor = 0.95
+
+resumeCompiler({
+  cv,
+  profile,
+  fonts,
+  lineHeight: 0.94,
+  mainTitleSize: 24,
+  subtitleSize: 11.3,
+  headerSize: 13.5,
+  fontSize: 9,
+  paragraphFactor: 1.1,
+  pageMargins: [60 * factor, 65 * factor, 60 * factor, 65 * factor],
+  unbreakableChildren: true,
+  google: true,
+});

full-stack/cv.js

@@ -0,0 +1,72 @@
+import { cvChild } from "../utils.js";
+
+export const profile = {
+  name: "Orestis Zambounis",
+  title: "MSc ETH Robotics Engineer",
+  birthdate: "10.7.1991",
+  address: "CH-4103 Bottmingen",
+  phone: "+41 78 637 35 91",
+  email: "[me@orestisz.com](mailto:me@orestisz.com)",
+  programmingLanguages:
+    "[github.com/orestis-z](https://github.com/orestis-z)\n\nReact-Native Development, Full-Stack, Distributed Systems, Machine Learning",
+};
+
+export default [
+  {
+    title: "Experience",
+    children: [
+      cvChild(
+        "Web App Developer",
+        ["Civil service", "Kantonsspital St.Gallen"],
+        ["May 2020", "Jul 2020"],
+        "* Developed new features and maintained a web application using __Vue.js__, ensuring quality with end-to-end testing using __TestCafe__\n*  Implemented web analytics and customer feedback tools to measure KPIs, and optimized search results appearance with SEO techniques to improve user engagement"
+      ),
+      cvChild(
+        "Full-Stack Engineer",
+        ["Self-employed", "Global (Digital Nomad)"],
+        ["Feb 2019", "May 2020"],
+        "* Developed and marketed an end-to-end cloud-based AI-powered app, using __TensorFlow__ and __scikit-learn__ to modify and retrain a CNN on a face dataset resulting in an __18%__ improvement in accuracy, and productionized the model for real-time inference\n* Designed cross-platform frontend using __Cordova__, __React Native__, __React.js__, and __Electron__, and deployed scalable microservices to __AWS__ with __Python__/__Flask__, __PostgreSQL__, and proxies"
+      ),
+      cvChild(
+        "Mobile App Developer",
+        ["nextron internet team", "Part-time", "Basel, Switzerland"],
+        ["Sep 2017", "Aug 2018"],
+        "*  Developed a cross-platform mobile app for <a href='https://www.explora.ch/'>explora.ch</a> using __React Native__, significantly improving the platform's mobile adaptation and enhancing the user experience\n* Successfully released the app, which garnered over 2,000 downloads and a 5-star rating"
+      ),
+      cvChild(
+        "Junior Mobile App Developer",
+        ["ETH Juniors", "Part-time", "Basel, Switzerland"],
+        ["Dec 2016", "Jul 2017"],
+        "* Built a React Native mobile app with Firebase, realizing a novel business idea for a private customer and demonstrating cross-platform design and cloud-based proficiency"
+      ),
+    ],
+  },
+  {
+    title: "Education",
+    children: [
+      cvChild(
+        "ETH Zurich",
+        ["MSc Robotics, Systems & Control (5.25/6.0)", "Zurich, Switzerland"],
+        ["Feb 2017", "Mar 2019"],
+        "Semester thesis (5.75/6.0):\n\n* Introduced a method to boost the scene understanding for robotic systems equipped with RGB-D sensors\n* Showed that an additional depth input channel improves the segmentation accuracy of Mask R-CNN by __31%__\n* Submitted a paper to CoRL 2018 and leveraged knowledge in __TensorFlow__, __Keras__, __OpenCV__ and __Python__"
+      ),
+      cvChild(
+        "ETH Zurich",
+        ["BSc Mechanical Engineering (5.51/6.0)", "Zurich, Switzerland"],
+        ["Sep 2012", "Feb 2016"],
+        "* Graduated with more than two standard deviations above the average (top __5%__)\n\nBachelor’s thesis (5.75/6.0):\n* Implemented balancing manoeuvres for the [Omnicopter](https://www.youtube.com/watch?v=sIi80LMLJSY) to demonstrate its 6DoF flying versatility\n* Derived the system dynamics, synthesised non-linear attitude control algorithms and a Kalman filter using quaternions, __C++__ and __MATLAB__ / __Simulink__"
+      ),
+    ],
+  },
+  {
+    title: "Projects",
+    children: [
+      cvChild(
+        "Mobile Apps",
+        null,
+        null,
+        "* Created mobile apps with __React Native__ and __Cordova__, and published them on the <a href='https://play.google.com/store/apps/dev?id=9048439414196271506'>Play Store</a>"
+      ),
+    ],
+  },
+];

index.js

@@ -53,7 +53,8 @@ const DEFAULT_PROPS = {
   google: false,
 };
 
-const getFullURL = url => (url.startsWith("https://") ? url : `https://${url}`);
+const getFullURL = (url) =>
+  url.startsWith("https://") ? url : `https://${url}`;
 
 export default function resumeCompiler(props) {
   const {
@@ -100,7 +101,7 @@ export default function resumeCompiler(props) {
       a: { color: null, decoration: null },
     });
 
-  const markdownToPdfMakeUnstyledLink = markdown =>
+  const markdownToPdfMakeUnstyledLink = (markdown) =>
     markdownToPdfMake(markdown, {
       a: { color: null, decoration: null },
     });
@@ -261,7 +262,7 @@ export default function resumeCompiler(props) {
           ]
         : []),
       // sections (experience, education, etc.)
-      ...cv.map(cvPart => {
+      ...cv.map((cvPart) => {
         return [
           // ensure that no pagebreak between header and first child
           {
@@ -362,10 +363,10 @@ export default function resumeCompiler(props) {
 
 function resumeCompilerPlain(cv) {
   const str = cv
-    .map(cvPart => {
+    .map((cvPart) => {
       const children = cvPart.children
         .map(
-          child =>
+          (child) =>
             `${child.title}\n${child.subtitles
               .concat(child.meta)
               .join(" · ")}\n${child.body}`

main/cv.js

@@ -0,0 +1,74 @@
+import { cvChild } from "../utils.js";
+
+export const profile = {
+  name: "Orestis Zambounis",
+  title: "MSc ETH Robotics Engineer",
+  birthdate: "10.7.1991",
+  address: "CH-4103 Bottmingen",
+  phone: "+41 78 637 35 91",
+  email: "[me@orestisz.com](mailto:me@orestisz.com)",
+  programmingLanguages:
+    "[github.com/orestis-z](https://github.com/orestis-z), [linkedin.com/in/orestis-z](https://linkedin.com/in/orestis-z)\n\nDeep Learning, Computer Vision, Robotics, Systems & Control, Distributed Systems",
+};
+
+export default [
+  {
+    title: "Experience",
+    children: [
+      cvChild(
+        "Senior Machine Learning Engineer",
+        [
+          "Seervision (ETH Zurich Spin-off, acquired by Q-SYS)",
+          "Zurich, Switzerland",
+        ],
+        ["Aug 2021", "Present"],
+        "* Optimized person detection and pose estimation pipeline, __tripling__ performance, increasing accuracy by __10%__, and reducing GPU memory usage by __45%__ using __ONNX__ and __TensorRT__\n* Created a face recognition system with under __5%__ false-positive rate, greatly enhancing product value\n* Drove efforts to __triple__ supported systems per hardware unit, enhancing scalability\n* Prototyped a multi-view grid for hybrid meeting rooms, a decisive factor in the acquisition by Q-SYS\n* Received recognition for achieving the highest business impact among all engineers in 2022\n* Enhanced expertise in __ROS__, __C++__, __Python__, __PyTorch__, __OpenCV__, __CUDA__, __Docker__, CI/CD and system monitoring"
+      ),
+      cvChild(
+        "MLOps Engineer",
+        [
+          "benshi.ai (Funded by Bill & Melinda Gates Foundation)",
+          "Barcelona, Spain",
+        ],
+        ["Nov 2020", "June 2021"],
+        "* Led data processing tools development with __Databricks__, __Spark__, and CI/CD, securing __$X million__ funding\n* Managed the ML model lifecycle, employing __Pandas__, __MLflow__, __Azure__, __Docker__, __Kubernetes__, and ETL processes"
+      ),
+      cvChild(
+        "Full-Stack & Machine Learning Engineer",
+        ["Self-employed", "Global (Digital Nomad)"],
+        ["Feb 2019", "May 2020"],
+        "* Developed an end-to-end, cloud-based AI app with __TensorFlow__ and __scikit-learn__, enhancing CNN-based face recognition accuracy by __18%__ and optimizing for real-time inference\n* Designed cross-platform frontend using __Cordova__, __React Native__, __React.js__, and __Electron__, and deployed scalable microservices to __AWS__ with __Python__/__Flask__, __PostgreSQL__, and proxies"
+      ),
+      cvChild(
+        "Control Systems Engineer, Intern",
+        ["Rapyuta Robotics (ETH Zurich Spin-off)", "Tokyo, Japan"],
+        ["Mar 2016", "Feb 2017"],
+        "* Achieved a __55x__ speedup of __NumPy__-heavy simulation iterations and open-sourced the __Python__ package <a href='https://github.com/wolfv/pyjet' target='_blank'>PyJet</a>\n* Designed energy estimators for a multicopter using a Kalman Filter (EKF), __Python__, __SciPy__, and __C++__\n* Improved a setpoint tracking controller and conducted sensor tests for a multicopter using __C++__ and __Python__"
+      ),
+    ],
+  },
+
+  {
+    title: "Education",
+    children: [
+      cvChild(
+        "Imperial College London",
+        ["Master's Thesis", "London, United Kingdom"],
+        ["Aug 2018", "Mar 2019"],
+        "* Pioneered a multi-task CNN deep learning architecture that predicts object instances, human poses, instance masks, and tracks people end-to-end.\n* Implemented a CNN using __Caffe2__ and __Python__ including custom operators with __CUDA C/C++__"
+      ),
+      cvChild(
+        "ETH Zurich",
+        ["MSc Robotics, Systems & Control", "Zurich, Switzerland"],
+        ["Feb 2017", "Mar 2019"],
+        "* Introduced a method to boost scene understanding for robotic systems equipped with RGB-D sensors\n* Showed that an additional depth input channel improves the segmentation accuracy of Mask R-CNN by __31%__\n* Submitted paper to CoRL 2018 and leveraged knowledge in __TensorFlow__, __Keras__, __OpenCV__ and __Python__"
+      ),
+      cvChild(
+        "ETH Zurich",
+        ["BSc Mechanical Engineering", "Zurich, Switzerland"],
+        ["Sep 2012", "Feb 2016"],
+        "* Graduated with more than two standard deviations above the average (top __5%__)\n* Implemented balancing manoeuvres for the [Omnicopter](https://www.youtube.com/watch?v=sIi80LMLJSY) to demonstrate its 6DoF flying versatility\n* Derived system dynamics, synthesised non-linear attitude control algorithms, and a Kalman filter using quaternions, __C++__ and __MATLAB__ / __Simulink__"
+      ),
+    ],
+  },
+];