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import resumeCompiler from "../index.js"; | ||
import cv, { profile } from "./cv.js"; | ||
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const fonts = { | ||
defaultFont: { | ||
// normal: "example/fonts/SalvoSans-Light2.ttf", | ||
// italics: "example/fonts/SalvoSans-Light-Italic.ttf", | ||
// bold: "example/fonts/SalvoSans-Medium2.ttf", | ||
normal: "example/fonts/OpenSans-Regular.ttf", | ||
italics: "example/fonts/OpenSans-Italic.ttf", | ||
bold: "example/fonts/OpenSans-Bold.ttf", | ||
}, | ||
childTitleFont: { | ||
bold: "example/fonts/Roboto-Bold.ttf", | ||
}, | ||
headerFont: { | ||
bold: "example/fonts/Roboto-Bold.ttf", | ||
bolditalics: "example/fonts/Roboto-BoldItalic.ttf", | ||
}, | ||
}; | ||
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const factor = 0.95 | ||
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resumeCompiler({ | ||
cv, | ||
profile, | ||
fonts, | ||
lineHeight: 1.1, | ||
mainTitleSize: 17.8, | ||
subtitleSize: 9.2, | ||
headerSize: 13, | ||
fontSize: 8.7, | ||
paragraphFactor: 0.8, | ||
pageMargins: [60 * factor, 68 * factor, 60 * factor, 68 * factor], | ||
unbreakableChildren: true, | ||
google: true, | ||
separator: " · ", | ||
linkColor: "#0044CC" | ||
}); |
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import { resumeCompilerPlain } from "../index.js"; | ||
import cv, { profile } from "./cv.js"; | ||
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console.log(resumeCompilerPlain(cv, profile)); |
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import { cvChild } from "../utils.js"; | ||
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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)", | ||
permit: "Swiss Citizen", | ||
programmingLanguages: | ||
"[GitHub](https://github.com/orestis-z) [LinkedIn](https://linkedin.com/in/orestis-z)\n\nDeep Learning, Computer Vision, Robotics, Mobile App Development, Full-Stack Development", | ||
}; | ||
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export default [ | ||
{ | ||
title: "Experience", | ||
children: [ | ||
cvChild({ | ||
title: "Senior Machine Learning Engineer", | ||
subtitles: ["(QSC, acq. by Acuity Brands)", "Zurich, CH", "Remote"], | ||
date: "2023 - Present (1 yr 6 mos)", | ||
body: "* " + [ | ||
"Ported vision ML models to ONNX and TensorRT, __tripling__ speed and reducing VRAM usage by __15%.__", | ||
"Increased system speed by __30%__ on resource-constrained hardware through batched inference implementation.", | ||
"Led CV/ML prototyping in detection, tracking, embeddings, and VLMs with state-of-the-art methods.", | ||
"Redesigned ML architecture for modularity and flexibility, and led efforts to clean up technical debt.", | ||
"Co-managed and mentored the ML team, integrated teams, enforced best practices, and led the hiring process.", | ||
"Technologies: __Python__, __PyTorch__, __TensorRT__, __ONNX__, __Weights & Biases__, __Grafana__, __ROS__, __Docker__, __GCP__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Machine Learning Engineer", | ||
subtitles: [ | ||
"Seervision (ETHZ Spin-off, acq. by QSC)", | ||
"Zurich, CH", | ||
"Remote", | ||
], | ||
date: "2021 - 2023 (2 yrs)", | ||
body: "* " + [ | ||
"Optimized real-time detection pipeline, reduced latency by __24%__, VRAM by __45%__, and increased accuracy by __10%__.", | ||
"Designed, prototyped, tuned, and deployed a face recognition system with a false-positive rate below __5%__.", | ||
"Drove real-time inference optimization efforts, __tripling__ the number of supported clients per hardware unit.", | ||
"Collaborated with the product team to prototype and experiment with CV/ML systems for novel user experiences.", | ||
"Technologies: __Python__, __C++__, __PyTorch__, __TensorFlow__, __OpenCV__, __CUDA__, __ROS__, __Docker__, __GitLab CI/CD__, __GCP__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "MLOps Engineer", | ||
subtitles: [ | ||
"benshi.ai (funded by BMGF)", | ||
"Barcelona, ES", | ||
"Hybrid", | ||
], | ||
date: "2020 - 2021 (6 mos)", | ||
body: "* " + [ | ||
"Built and maintained scalable data pipelines for ML models in production, from data ingestion to deployment.", | ||
"Technologies: __Python__, __Pandas__, __PySpark__, __Databricks__, __MLflow__, __Docker__, __Kubernetes__, __Azure__, __GitHub Actions__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Web App Developer", | ||
subtitles: [ | ||
"Civil service", | ||
"Kantonsspital St. Gallen, CH", | ||
"On-site", | ||
], | ||
date: "2020 (3 mos)", | ||
body: "* " + [ | ||
"Developed and maintained a web application, implemented web analytics, SEO.", | ||
"Technologies: __Vue.js__, __TestCafe__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Full-Stack & Machine Learning Engineer", | ||
subtitles: ["Freelancer", "Remote"], | ||
date: "2019 - 2020 (1 yr 3 mos)", | ||
body: "* " + [ | ||
"Developed a CNN-based face predictor with an __18%__ accuracy improvement, optimized for low-latency inference.", | ||
"Developed full-stack application with cross-platform frontend and microservice-based cloud architecture.", | ||
"Technologies: __Python__, __TensorFlow__, __scikit-learn__, __Flask__, __React__, __PostgreSQL__, __AWS__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Co-Founder, Product, Tech Lead", | ||
subtitles: ["Kimata Networks", "Basel, CH", "Part-time", "Remote"], | ||
date: "2018 - 2019 (1 yr 3 mos)", | ||
body: "* " + [ | ||
"Managed a team of 5 developers (frontend and backend), iterated on user feedback, analyzed competitors, and crafted specifications and roadmaps.", | ||
"Raised CHF 10k through Venture Kick, gaining experience in company founding, business planning, IP, outsourcing, and strategic decision-making..", | ||
"Technologies: __Java__, __Android__, __React Native__, __libGDX__, __OpenGL__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Mobile App Developer", | ||
subtitles: ["Nextron internet team GmbH", "Basel, CH", "Part-time", "Remote"], | ||
date: "2016 - 2017 (6 mos)", | ||
body: "* " + [ | ||
"Developed a cross-platform mobile app for explora.ch.", | ||
"Achieved over 2,000 downloads and maintained a __5.0-star__ rating.", | ||
"Technologies: __React Native__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Junior Mobile App Developer", | ||
subtitles: ["ETH juniors", "Zurich, CH", "Part-time", "Remote"], | ||
date: "2016 - 2017 (6 mos)", | ||
body: "* " + [ | ||
"Developed a React Native mobile app with Firebase.", | ||
"Technologies: __React Native__, __Firebase__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "Control Systems Engineer, Intern", | ||
subtitles: ["Rapyuta Robotics (ETHZ Spin-off)", "Tokyo, JP", "On-site"], | ||
date: "2016 - 2017 (1 yr)", | ||
body: "* " + [ | ||
"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>.", | ||
"Designed energy estimators using a Kalman Filter, enhanced tracking controller and performed sensor tests.", | ||
"Technologies: __Python__, __C++__, __NumPy__, __SciPy__, __ROS__.", | ||
].join("\n* "), | ||
}), | ||
], | ||
}, | ||
{ | ||
title: "Education", | ||
children: [ | ||
cvChild({ | ||
title: "MSc Robotics, Systems & Control", | ||
subtitles: ["5.25/6.0", "ETH", "Zurich, CH"], | ||
date: "2017 - 2019 (2 yrs)", | ||
body: "* " + [ | ||
"Developed an online deep learning architecture for object instance prediction, pose estimation, and tracking.", | ||
"Showed that an additional depth input channel improved the segmentation accuracy of Mask R-CNN by __31%__.", | ||
"Technologies: __Python__, __CUDA C/C++__, __TensorFlow__, __Keras__, __Caffe2__, __OpenCV__.", | ||
].join("\n* "), | ||
}), | ||
cvChild({ | ||
title: "BSc Mechanical Engineering", | ||
subtitles: ["5.51/6.0", "ETH", "Zurich, CH"], | ||
date: "2012 - 2016 (3 yrs 6 mos)", | ||
body: "* " + [ | ||
"Developed balancing algorithms for a 6DoF [omnicopter](https://www.youtube.com/watch?v=sIi80LMLJSY) using non-linear control methods.", | ||
"Technologies: __C++__, __MATLAB__, __Simulink__.", | ||
].join("\n* "), | ||
}), | ||
], | ||
}, | ||
{ | ||
title: "Projects", | ||
mini: true, | ||
children: [ | ||
cvChild({ | ||
title: "[Beachin' Rentals](https://g.co/kgs/B73qiZx)", | ||
date: "2023 - Present", | ||
body: | ||
"Self-service kiosk built using __Flask__, __Stripe__, __Shopify__, __RasPi__, __RS-485__.", | ||
}), | ||
cvChild({ | ||
title: "[Trap the Cat](https://play.google.com/store/apps/details/Chat_Noir_Hexagon?id=com.kima.chatnoirhex)", | ||
date: "2023 - 2024", | ||
body: | ||
"App built with __JavaScript__, __CapacitorJS__ and __Firebase__, with __100k+__ downloads.", | ||
}), | ||
cvChild({ | ||
title: "[Anti CryptoPunks](https://anticryptopunks.com)", | ||
date: "2022", | ||
body: | ||
"NFT project built on the __Polygon__ blockchain, with __6 ETH__ traded.", | ||
}), | ||
cvChild({ | ||
title: "[PyJet](https://github.com/wolfv/pyjet)", | ||
date: "2015", | ||
body: "Python library converting __Python/NumPy__ operations to __C++__, achieving a __55x__ speedup.", | ||
}), | ||
], | ||
}, | ||
]; |
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@@ -35,4 +35,5 @@ resumeCompiler({ | |
unbreakableChildren: true, | ||
google: true, | ||
separator: " · ", | ||
linkColor: "#0044CC" | ||
}); |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,4 +1,4 @@ | ||
import { resumeCompilerPlain } from "../index.js"; | ||
import cv from "./cv.js"; | ||
import cv, { profile } from "./cv.js"; | ||
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console.log(resumeCompilerPlain(cv)); | ||
console.log(resumeCompilerPlain(cv, profile)); |
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