CakeResume 找人才

網IoT MQTT ：整合 JavaScript 與 Python，實現 MQTT協議連線，建立即時通訊機制，應用於多種情境。 5.JavaScript 貪食蛇遊戲：開發 JavaScript 貪食蛇遊戲，藉此練習演算法和語法，展現對 JavaScript 的深入理解和實際應用。 前端技術： 1.使用 HTML、CSS 開發具有響應式設計（RWD）的前端網頁，確保在不同

設計了一套框架，使其他同事減少開發新功能的學習成本，事後發展成其他產品也可套用這框架。在SOA Mapping的部分，我設計了演算法使原本需要數秒才能mapping到服務進而優化為數毫秒。此外，我也在團隊中積極導入CI/CD流程，這期間增強了許多有

架 React-native, Express, Django, Bootstrap, React, Vue, Flask, Koa 應用程式 Photoshop, Illustrator, Lightroom 論文 Yi-Wei Liu, Tz-Wei Hsu, Che-Yu Chang, Wen-Hung Liao and Jia-Ming Chang "PSLDoc3: A High-Throughput Protein Function Prediction by the Novel k - nearest neighbor and Voting algorithms",ISBRA2019, Barcelona, Spain) Che-Yu Chang*, Tz-Wei Hsu* and Jia-Ming Chang "PSLCNN: Protein Localization Prediction for Eukaryotes and Prokaryotes Using Deep Learning”(* Join First Author,accepted in the international track, EI,the 24th TAAI ) 競賽成績 科技部大專生研究計

products. - Assessed NLP models for time series data. - Studied the state-of-the-art DL models like Efficient-Net, Transformer-XL. - Built a mobile app to receive data from various wearable devices via blue-tooth connection for monitoring user's health condition by DL models. AI Algorithm Development Engineer • Skyline Taiwan AugMayUsed MCTS and other ML techniques to build bots for card games. - Built an automated logs processing procedure to find cheating players. (Python/Tensorflow & Pytorch, Scala, Java) - Used Telegram chatbot with NLP to deal with routine work in enterprise like meeting room

Taiwan Research and developing visual recognition and control, using AI to solve multi-dimensional feature problems that cannot be handled by traditional methods, and making the algorithm to achieve generalization and desired speed. 1. Develop vision algorithms 2. Research control algorithms of robotic-arm 3. Deploy algorithms to embedded machines (Nvidia AGX, Nvidia NX) 4. Track the latest cutting-edge journals and technologies Project experiment Robotic-arm random bin picking(Depth-Image) Tensorflow、AlexNet、Cross entropy method Traditional algorithms can only specify a single or few items after modeling. Using an AI algorithm, it

劉佳格 現服務於同致電子超聲波研發部門，專職於自動停車輔助系統的算法開發，畢業於台灣科技大學電子所，研究方向為機器學習、電腦視覺與深度學習。 台北市，，[email protected] 研究領域 Machine Learning Computer Vision Deep Learning 程式語言 C Python Java 開發環境/工具 Visual Studio Eclipse Docker

Ltd • 2018 十一月四月 • 於 雲端研發處-軟體四部 任職 軟體工程師（ 團隊介紹 ） 醫材讀數辨識服務 DHO MEOCR（ 專案簡介 ） • 負責規劃專案架構、演算法運作流程、並開發排版分析演算法。 • 負責用 Django 撰寫網站前台、後台架構，分別架設於 Ubuntu、Linux 系統之機器上。 • 設計並撰寫 Restful