CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
6 到 10 年
逢甲大學
・
電子工程學系
曾任
歌手/製作人 @任意門娛樂股份有限公司2021 ~ 現在
・
企劃
半年內
deliver exceptional results. • Collaborating with artists to develop and produce high-quality music that meets their artistic vision and resonates with audiences. • Providing musical direction and guidance to artists during recording sessions, while using my technical expertise to create a polished and professional final product. Collaborating with engineers and other music professionals to mix and master recordings to the highest standards. • Keeping up-to-date with the latest trends and technologies in music production, while leveraging my deep understanding of the industry to deliver hit records across multiple genres. • Managing relationships with record labels and
待業中
全職 / 對遠端工作有興趣
6 到 10 年
東吳大學
・
英國語文學系就學中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Yang Ming Chiao Tung University
・
Global MBA Program
專案副理-零售業務部 @神腦國際企業股份有限公司 Senao International Co., Ltd.2023 ~ 現在
・
Business Intelligence, Data Analyst, Strategy Planning
一個月內
accessory pricing and repair service fee pricing. - Set sales KPIs, and designed commission incentive programs for engineers and franchisees. [Achievements] - The repair service revenue achievement rate was 102% in 2022Q1-Q3, with a YoY growth of 33%. - Turned a loss into a profit for Gogoro stores by engineer allocation and expense recognition principle adjustment by reducing the cost and maximum productivity. - Joined the repair service fee adjustment project in 2022, and was responsible for P&L evaluation. Scooter Business Planner • Gogoro JanAugResponsible for electric scooter sales planning - Developed scooter sales forecasting and product mix plan
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
國立中山大學
・
Master of Business Administration
曾任
Creative, Design, Technical & PR Consultant @Briljent2018 ~ 現在
・
Associate Creative Director or Sr (Interdisciplinary) Art Director
一個月內
David Filip Christov So, who is this guy? In short... Some say he is a great mix of design street smarts, geek chic & being a creative with a gift for imaginative visualisation, and functional multifaceted design and technical expertise. David encompasses a mixed combination of skills & experience: Art Direction/ Graphic Design/ Photography/ Advertising/ Marketing/ Packaging/ Training etc. He also comprehends & fulfils these fields with a high level of technical skill & knowledge with mastery of many of the essential tools within these and many other fields both manually & digitally.
待業中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
15 年以上
Small Business Management
・
Cert IV Further Education
Specialty Food Ingredients Supplier
超過一年
Food, we understand the complexity inherent in a pat of butter. We cater exclusively to food manufacturers who, by nature of the work that they do, have very particular flavor and texture needs. These requests often can't be met with typically-produced, full-moisture butter; however, we engineer our diverse line of powdered butters to meet a wide range of culinary applications. Our powders can be readily utilized in place of traditional butter, and work superbly in large-batch soups, sauces, candies, and pastry mixes. Cheese Powders Bluegrass Dairy and Food is a food manufacturer
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
15 年以上
Glasgow
・
Kentucky
離線
離線
Machine Learning Software Engineer @AMD2021 ~ 現在
・
Machine Learning Engineer
兩個月內
arithmetic for deep learning. Deep Learning Engineer , CVITEK, OctSep 2021 Spin off from Bitmain . Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator. Deep learning accelerator a. Research and prototype the int8, int4 and bf16 quantization algorithm. b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (USA1, CNA). c. Model compression flow (heterogeneous quantization). d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision). e. Implement frontend of deep learning
就職中
全職 / 對遠端工作有興趣
6 到 10 年
National Chiao Tung University
・
Computer ScienceAudio Editor, VO Post-Production @TearGas Lab Studio2022 ~ 現在
・
Audio Editor
一年內
Mix and balance multiple audio tracks or music for voice-over and audiobook projects to create a seamless final product. Remove background noise, clicks, pops, and other unwanted sounds from audio files. Ensure proper pacing, timing, and rhythm of the voice-over recordings. Founder and Senior Sound Engineer TearGas Lab StudioPresent) Bandung, Indonesia Record vocals and music in any digital format. Mix and master vocal arrangements and music compositions, and optimized songs, and albums. Regulate volume level and sound quality during recording sessions. Control sound levels and outputs to produce high-quality tracks for
就職中
兼職 / 對遠端工作有興趣
15 年以上
就職中
全職 / 對遠端工作有興趣
10 到 15 年
遠東科技大學 Far East University
・
Department of Information Management
Mass Com and Spri Multimedia @Polres Metro Jakarta Selatan2020 ~ 2022
・
UI Desiger / Web Designer / Graphic Design
超過一年
Taufiq Tirtadijaya Source Mix Design | Potovideo Editor | Web Design | Content Creator | Export Sales Specialist Obtain a position that can channel my abilities in the field of Acounting and Computerized based on my background and Design as my passion maybe you can call me like Multi Talent person. Provide a high dedication and loyality to the company. General Tools ads Wordpress Power Point word Excel Design Tools Illustrator Photoshop Premiere Pro xd Figma EXPERIENCE Mass Com & Spri Multimedia Polres Metro JakSel JanuariJanuariDocumentation and support all routine activities of the Polrestro Jaksel. 2. Content Design, Social Media and
就職中
全職 / 對遠端工作有興趣
4 到 6 年
BINUS University
・
Accounting Computerized最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
機器學習工程師
產業
半導體
工作年資
6 到 10 年
管理經歷
技能
語言能力
Chinese
・
母語或雙語
English
・
中階
求職偏好
希望獲得的職位
Machine Learning Engineer
預期工作模式
全職
期望的工作地點
Taiwan, Taipei, 台灣
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
National Chiao Tung University
主修科系
Computer Science
Rocking Lai
Introduction
I am a deep learning engineer as well as professional software engineer.
I take part in various deep learning & computer vision projects, from software application to AI chip.
Also have the experience of developing video surveillance system (full-stack).
In addition, I strive for learning and constantly looking for ways to share my knowledge.
I am the mentor of Coursera, which helps students in learning computer vision and machine learning.
Skills
Domain Knowledge
- GPU Programming
- Deep Learning Compiler
- Neural Network Quantization
- Computer Vision Algorithm
- Surveillance System
Tool
- C++
- Python
- Pytorch
- OpenCV
Experience
Machine Learning Software Engineer, AMD, Sep 2021 - Present
- Develop GPU backend of various deep learning framework. Eg. PyTorch, Tensorflow, Onnx runtime
a. Implement and optimize GPU kernel
b. Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax.
c. Low precision arithmetic for deep learning.
Deep Learning Engineer, CVITEK, Oct 2019 - Sep 2021
- Spin off from Bitmain.
- Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator.
- Deep learning accelerator
a. Research and prototype the int8, int4 and bf16 quantization algorithm.
b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (US20220129736A1, CN114492721A).
c. Model compression flow (heterogeneous quantization).
d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision).
e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR).
f. Inference simulator via high level IR.
g. Co-work with IC designer to design the cmodel of AI accelerator.
- Stereo Vision accelerator
a. Prototype the hardware-friendly stereo matching algorithm.
b. Co-work with IC designer to design the cmodel.
Deep Learning Engineer, Bitmain, Aug 2018 - Oct 2019
- Mainly focus on deep learning accelerator (so called NPU or TPU and so on)
- Research of deep learning algorithm for edge AI accelerator.
a. int8 and bf16 quantization algorithm.
b. Post training based mix-precision algorithm.
c. Quantization-aware training flow. - Deep learning compiler
a. Quantization tool (calibration, fine tuning).
b. Inference simulator for high level IR (cpu & gpu).
c. Co-work with IC designer to design the cmodel of AI accelerator.
Algorithm Engineer, ULSee, Jun 2017 ~ Aug 2018
- Vision algorithm for robot (object detection, gesture recognition, posture recognition).
- Facial landmark tracking algorithm.
- Improve face recognition flow.
- Driver fatigue detection, phone talking detection for ADAS (Advance driver assistance system).
- Plan & design the face recognition system for various projects. (IP camera integration, video
management, lead the scrum flow).
Software Engineer, NUUO, Sep 2014 ~ Oct 2017
- Design and maintained the Network video recorder (NVR). It is an embedded Linux, which can received video
stream from IP camera, various type of recording, video analytic, third party integration.
- Develop new features for NVR client, which can play live video, playback video, smart search video, event
management...etc.
- Develop SDK of NVR, provide a way for third party to integrate our NVR.
Volunteer
Course Mentor, Jan 2017 - Feb 2019
Machine Learning, offered by Stanford University.
Fundamentals of Digital Image and Video Processing, offered by Northwestern University.
Education
Master's degree, Computer Science and Information Engineering
National Chiao Tung University (2012 - 2014)
Bachelor's degree, Computer Science
National Chiao Tung University (2008 - 2012)
Publication
- Toward Community Sensing of Road Anomalies Using Monocular Vision, IEEE Sensors Journal (Volume:16 , Issue: 8 ) 2016
- Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder, IEEE International Conference on Pattern Recognition (ICPR 2014)
Patent
- Mixed-precision quantization method for neural network, US20220129736A1 (2021)
- 神經網路的混合精度量化方法, CN114492721A (2020)
Rocking Lai
Introduction
I am a deep learning engineer as well as professional software engineer.
I take part in various deep learning & computer vision projects, from software application to AI chip.
Also have the experience of developing video surveillance system (full-stack).
In addition, I strive for learning and constantly looking for ways to share my knowledge.
I am the mentor of Coursera, which helps students in learning computer vision and machine learning.
Skills
Domain Knowledge
- GPU Programming
- Deep Learning Compiler
- Neural Network Quantization
- Computer Vision Algorithm
- Surveillance System
Tool
- C++
- Python
- Pytorch
- OpenCV
Experience
Machine Learning Software Engineer, AMD, Sep 2021 - Present
- Develop GPU backend of various deep learning framework. Eg. PyTorch, Tensorflow, Onnx runtime
a. Implement and optimize GPU kernel
b. Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax.
c. Low precision arithmetic for deep learning.
Deep Learning Engineer, CVITEK, Oct 2019 - Sep 2021
- Spin off from Bitmain.
- Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator.
- Deep learning accelerator
a. Research and prototype the int8, int4 and bf16 quantization algorithm.
b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (US20220129736A1, CN114492721A).
c. Model compression flow (heterogeneous quantization).
d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision).
e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR).
f. Inference simulator via high level IR.
g. Co-work with IC designer to design the cmodel of AI accelerator.
- Stereo Vision accelerator
a. Prototype the hardware-friendly stereo matching algorithm.
b. Co-work with IC designer to design the cmodel.
Deep Learning Engineer, Bitmain, Aug 2018 - Oct 2019
- Mainly focus on deep learning accelerator (so called NPU or TPU and so on)
- Research of deep learning algorithm for edge AI accelerator.
a. int8 and bf16 quantization algorithm.
b. Post training based mix-precision algorithm.
c. Quantization-aware training flow. - Deep learning compiler
a. Quantization tool (calibration, fine tuning).
b. Inference simulator for high level IR (cpu & gpu).
c. Co-work with IC designer to design the cmodel of AI accelerator.
Algorithm Engineer, ULSee, Jun 2017 ~ Aug 2018
- Vision algorithm for robot (object detection, gesture recognition, posture recognition).
- Facial landmark tracking algorithm.
- Improve face recognition flow.
- Driver fatigue detection, phone talking detection for ADAS (Advance driver assistance system).
- Plan & design the face recognition system for various projects. (IP camera integration, video
management, lead the scrum flow).
Software Engineer, NUUO, Sep 2014 ~ Oct 2017
- Design and maintained the Network video recorder (NVR). It is an embedded Linux, which can received video
stream from IP camera, various type of recording, video analytic, third party integration.
- Develop new features for NVR client, which can play live video, playback video, smart search video, event
management...etc.
- Develop SDK of NVR, provide a way for third party to integrate our NVR.
Volunteer
Course Mentor, Jan 2017 - Feb 2019
Machine Learning, offered by Stanford University.
Fundamentals of Digital Image and Video Processing, offered by Northwestern University.
Education
Master's degree, Computer Science and Information Engineering
National Chiao Tung University (2012 - 2014)
Bachelor's degree, Computer Science
National Chiao Tung University (2008 - 2012)
Publication
- Toward Community Sensing of Road Anomalies Using Monocular Vision, IEEE Sensors Journal (Volume:16 , Issue: 8 ) 2016
- Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder, IEEE International Conference on Pattern Recognition (ICPR 2014)
Patent
- Mixed-precision quantization method for neural network, US20220129736A1 (2021)
- 神經網路的混合精度量化方法, CN114492721A (2020)