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Avatar of Rocking Lai.
Avatar of Rocking Lai.
Machine Learning Software Engineer @AMD
2021 ~ 现在
Machine Learning Engineer
兩個月內
Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax. c. Low precision 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
Deep Learning
Computer Vision
C++
就职中
全职 / 对远端工作有兴趣
6 到 10 年
National Chiao Tung University
Computer Science

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半年內
AI工程師 @ AI Academy
Logo of AI Academy.
AI Academy
2019 ~ 现在
台灣台北市
专业背景
目前状态
就职中
求职阶段
专业
产业
工作年资
1 到 2 年
管理经历
技能
Machine Learning
Tensorflow
Python
Computer Vision
Tensorflow Lite
Model compression and acceleration
Mathematic Modeling
Optimization
Google Coral
Google Apps Script
Google Drive API
Colab
Docker
QT
tensorflow
tfmot
语言能力
求职偏好
希望获得的职位
Machine Learning Engineer
预期工作模式
全职
期望的工作地点
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
National Chiao Tung University
主修科系
Applied Mathematic
列印

湯沂達

畢業於交通大學應用數學系,前台灣人工智慧學校的AI工程師。

擔任過台灣人工智慧小聚講者;18組專案之技術指導;IEEE機器學習競賽第二名、TBrain競賽第五名。 

擅長於數學建模、機器學習、深度學習、電腦視覺、聲音信號處理、風格轉換。

閒暇時間會閱讀一些AI相關論文、線上論壇、新聞。


近期研究項目 Style Transfer, Text Driven Image Manipulation/Genreation, Neural Rendering, Network Pruning

Machine Learning Engineer
[email protected] / +886 917-622-216 / Taipei Taiwan


Link of this Page : https://www.cakeresume.com/changethewhat

專業能力


  • Programming Language: Python
  • Deep Learning : ONNX, PyTorch, TorchElastic, Tensorflow, Tensorflow Lite, CoralTPU, Keras, tfmot
  • Dev/ML Ops : Git, Linux, Docker, Google Apps Script, Google Drive API, Colab, AWS SageMaker, Weight And Bias
  • Applied Skills : Machine Learning, Deep Learning, Image Processing, Computer Vision, Parallel Programming, Signal Procressing, Mathematic Modeling, Optimization, Model Compression, Neural Style Transfer, Audio Classification

工作經歷

AI Academy, AI 工程師, Jun 2019 ~ Feb 2022

教授學員機器學習、深度學習知識;以技術指導的角色,幫助學員完成AI專案;參與外部 AI 競賽,累積公司名聲。

開發入學、內部考試系統、因應疫情之遠端點名系統。

閱讀論文、函式庫,並將之應用在比賽[1, 2]/專案指導[3]/教學文件、讀書會、Meidum、Meetup分享[4-9]/微型專案[10-13]/論文延伸方法提出[14]。

領導學員完成AI專案。(18組專案) [15]

Reference:

[1] (2019, Certificate) The 2nd Place of IEEE Big Data FEMH Voice Data Challenge 2019 (https://drive.google.com/drive/folders/175LPHjGcpp9qo01KIUqFNkw1PC7a3aO6?usp=sharing)


[2] (2021, Certificate) TBrain-Tomofun 狗音辨識 AI 百萬挑戰賽第五名(https://tbrain.trendmicro.com.tw/Competitions/Details/15)

(https://drive.google.com/drive/u/0/folders/18uk17_LipGpNLEe5f7SljISy0Lupny7j)


[3] (2021, Slide) AI專案分享
(https://slides.com/sin_dar_soup/ai#/6/1)


[4] (2019, Slide) 看見聲音的未來
(https://www.facebook.com/groups/datasci.dinner/permalink/2415658465412338/


[5] (2020, Slide) Re-Overview Model Compression and Acceleration (https://docs.google.com/presentation/d/1RINEfysY5H-ibBq_Rs6fTnF338gJGQjewyewfwqyas4/edit#slide=id.p)


[6] (2020, Slide) Transferred/Compact Convolutional Filters (https://slides.com/sin_dar_soup/deck#/transferredcompact-convolutional-filters)


[7] (2021, Talk) 從風格轉換到用文字操弄影像
From Style Trasfer to Text-Driven Image Manipulation

(video, slide)


[8] (2022, Talk) 初探類神經渲染

Neural Rendering, From Begineer

(videoslide)


[9] Medium (https://changethewhat.medium.com/)

(2021) 類神經影像藝術風格轉換系列筆記-基礎

(2021) 資料 : {(影像,文字)} : OpenAI 2021 一月
(2021) 用CLIP達成文字操弄/生成影像


[10] (2021, Side Project) Download-Google-Drive-Files-From-URLs

code : https://github.com/mistake0316/Download-Google-Drive-Files-From-URLs


[11] (2021, Side Project) Remote Sign System

# Using Google Apps Script to generate/handle sign periodically 

# no link


[12] (2021, Side Project) CLIPStyleTransfer

# Do Style Transfer with Text prompt

code : https://github.com/mistake0316/CLIPStyleTransfer

replicate : https://replicate.com/mistake0316/style-transfer-clip

project page : not release yet


[13] (2022, Side Project) Probability Awared Pruning

# A novel channel-wise pruning heuristic based on AdaIN's scale and bias

wanb : https://wandb.ai/mistake0316/ElascitPruningStyleTransfer

project page : not release yet


[14] Idea of an extension to EagleEye 

# EagleEye is an elegant heuristic to prune a model

# I proposed an idea extension to the authors in following github issue

 https://github.com/anonymous47823493/EagleEye/issues/33


[15] 指導專案

1.聲音的瑕疵檢測與分析

2.RF人體特定動作識別

3.黃光CD線寬預測

4.判斷鏡頭生產品質

5.智慧水表之用水模式辨識

6.以人工智慧為戲劇配樂

7.廢水新砂濾功能辨識系統

8.L5A 2B3T樹脂效率判定與餘命預警

9.Robot cable tray monitor system

10.影片人物的真偽判別 Anti-DeepFake

11.動態物件偵測尋找目標之無人載具

12.智慧手機架

13.購物網站訪客瀏覽行為分析

14. 以人工智慧估算電池健康度SOH

15. Hand Gestures Recognition with Millimeter Wave Radar

16. CNN模型應用於邊緣計算的手寫辨識系統實作

17. AI判斷骨齡

18. AI-Painter

简历
个人档案

湯沂達

畢業於交通大學應用數學系,前台灣人工智慧學校的AI工程師。

擔任過台灣人工智慧小聚講者;18組專案之技術指導;IEEE機器學習競賽第二名、TBrain競賽第五名。 

擅長於數學建模、機器學習、深度學習、電腦視覺、聲音信號處理、風格轉換。

閒暇時間會閱讀一些AI相關論文、線上論壇、新聞。


近期研究項目 Style Transfer, Text Driven Image Manipulation/Genreation, Neural Rendering, Network Pruning

Machine Learning Engineer
[email protected] / +886 917-622-216 / Taipei Taiwan


Link of this Page : https://www.cakeresume.com/changethewhat

專業能力


  • Programming Language: Python
  • Deep Learning : ONNX, PyTorch, TorchElastic, Tensorflow, Tensorflow Lite, CoralTPU, Keras, tfmot
  • Dev/ML Ops : Git, Linux, Docker, Google Apps Script, Google Drive API, Colab, AWS SageMaker, Weight And Bias
  • Applied Skills : Machine Learning, Deep Learning, Image Processing, Computer Vision, Parallel Programming, Signal Procressing, Mathematic Modeling, Optimization, Model Compression, Neural Style Transfer, Audio Classification

工作經歷

AI Academy, AI 工程師, Jun 2019 ~ Feb 2022

教授學員機器學習、深度學習知識;以技術指導的角色,幫助學員完成AI專案;參與外部 AI 競賽,累積公司名聲。

開發入學、內部考試系統、因應疫情之遠端點名系統。

閱讀論文、函式庫,並將之應用在比賽[1, 2]/專案指導[3]/教學文件、讀書會、Meidum、Meetup分享[4-9]/微型專案[10-13]/論文延伸方法提出[14]。

領導學員完成AI專案。(18組專案) [15]

Reference:

[1] (2019, Certificate) The 2nd Place of IEEE Big Data FEMH Voice Data Challenge 2019 (https://drive.google.com/drive/folders/175LPHjGcpp9qo01KIUqFNkw1PC7a3aO6?usp=sharing)


[2] (2021, Certificate) TBrain-Tomofun 狗音辨識 AI 百萬挑戰賽第五名(https://tbrain.trendmicro.com.tw/Competitions/Details/15)

(https://drive.google.com/drive/u/0/folders/18uk17_LipGpNLEe5f7SljISy0Lupny7j)


[3] (2021, Slide) AI專案分享
(https://slides.com/sin_dar_soup/ai#/6/1)


[4] (2019, Slide) 看見聲音的未來
(https://www.facebook.com/groups/datasci.dinner/permalink/2415658465412338/


[5] (2020, Slide) Re-Overview Model Compression and Acceleration (https://docs.google.com/presentation/d/1RINEfysY5H-ibBq_Rs6fTnF338gJGQjewyewfwqyas4/edit#slide=id.p)


[6] (2020, Slide) Transferred/Compact Convolutional Filters (https://slides.com/sin_dar_soup/deck#/transferredcompact-convolutional-filters)


[7] (2021, Talk) 從風格轉換到用文字操弄影像
From Style Trasfer to Text-Driven Image Manipulation

(video, slide)


[8] (2022, Talk) 初探類神經渲染

Neural Rendering, From Begineer

(videoslide)


[9] Medium (https://changethewhat.medium.com/)

(2021) 類神經影像藝術風格轉換系列筆記-基礎

(2021) 資料 : {(影像,文字)} : OpenAI 2021 一月
(2021) 用CLIP達成文字操弄/生成影像


[10] (2021, Side Project) Download-Google-Drive-Files-From-URLs

code : https://github.com/mistake0316/Download-Google-Drive-Files-From-URLs


[11] (2021, Side Project) Remote Sign System

# Using Google Apps Script to generate/handle sign periodically 

# no link


[12] (2021, Side Project) CLIPStyleTransfer

# Do Style Transfer with Text prompt

code : https://github.com/mistake0316/CLIPStyleTransfer

replicate : https://replicate.com/mistake0316/style-transfer-clip

project page : not release yet


[13] (2022, Side Project) Probability Awared Pruning

# A novel channel-wise pruning heuristic based on AdaIN's scale and bias

wanb : https://wandb.ai/mistake0316/ElascitPruningStyleTransfer

project page : not release yet


[14] Idea of an extension to EagleEye 

# EagleEye is an elegant heuristic to prune a model

# I proposed an idea extension to the authors in following github issue

 https://github.com/anonymous47823493/EagleEye/issues/33


[15] 指導專案

1.聲音的瑕疵檢測與分析

2.RF人體特定動作識別

3.黃光CD線寬預測

4.判斷鏡頭生產品質

5.智慧水表之用水模式辨識

6.以人工智慧為戲劇配樂

7.廢水新砂濾功能辨識系統

8.L5A 2B3T樹脂效率判定與餘命預警

9.Robot cable tray monitor system

10.影片人物的真偽判別 Anti-DeepFake

11.動態物件偵測尋找目標之無人載具

12.智慧手機架

13.購物網站訪客瀏覽行為分析

14. 以人工智慧估算電池健康度SOH

15. Hand Gestures Recognition with Millimeter Wave Radar

16. CNN模型應用於邊緣計算的手寫辨識系統實作

17. AI判斷骨齡

18. AI-Painter