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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 現在
・
Software Engineer
1ヶ月以内
level with a size error margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
・
生物產業機電工程所
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立政治大學（National Chengchi University）
・
資訊科學系就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立中央大學 National Central University
・
網路學習科技研究所
OPC Chief Engineer @TSMC2020 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared Spectroscopy
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
Past
Electrical Section Head @Sayyed Engineers Limited2014 ~ 2016
・
Electrical and Electronics Engineer
3ヶ月以内
based Project using SIMATIC SSignal conditioning of data received from the Aircraft Engine MFI-17 Super Mushshak Part Task Trainer (Simulator) Team lead of the Hardware installation and interfacing with soft instruments Using National Instruments NI-Daq 6343 Hardware designing of Trim Panel using Arduino Uno Foreign Object Debris Detection, Classification, and Localization using Deep Learning Python language based Project using YOLO-V7 (you only look once) Addressed the Class imbalance in FOD-A Dataset FOD detection/localization with improved accuracy Data Acquisition design and implementation of a Level-D Simulator (C130-H) NI-PXI Chassis-based DATA ACQUISITION
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
University of Central Punjab
・
Electrical and Power Transmission Installation/Installer, General就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立高雄科技大學 National Kaohsiung University of Science and Technology
・
電腦與通訊工程系
Research & Development Engineer @三竹資訊股份有限公司2023 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
and deployed it to the environment. Major Product and Project Experience AI training platform backend development with Label Studio/DVC/MLflow Developed training templates. AI-SaaS Implemented NLU tasks using BERT-based models to provide functions such as named entity recognition, entity relation extraction, and article classification . Implemented NLG tasks using T5 to provide article summarization functionality. NetProbe - DPI Use 1D-CNN and MLP models for encrypted network traffic identification . Use the Autoencoder model for unknown packet detection . Taiwan Ministry of the Interior Investigation Bureau Police Station - AI Crime Investigation Trace Analysis
就職中
・
就職希望
フルタイム / リモートワークに興味なし
4〜6年
國立中央大學 National Central University
・
資訊工程
Data science lecturer @Ittraining2020 ~ 現在
・
Data Scientist 資料科學家_數據分析師
1ヶ月以内
氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02 - Bronze medal (team): (Kaggle) VinBigData Chest X-ray Abnormalities Detection: Automatically localize and classify thoracic abnormalities from chest radiographs, 2021/03/30 Classification (影像分類): - Bronze medal (solo): (Kaggle) Human Protein Atlas - Single Cell Classification: Find individual human cell differences in microscope images, 2021/05/12 - 5th place (team): (Aidea AI CUP) Mango grade classification, 2020/12/29. https://reurl.cc/
就職中
・
就職希望
パートタイム / リモートワークに興味あり
15年以上
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Product Manager @Linker Vision2023 ~ 現在
・
PM/產品經理/專案管理
1ヶ月以内
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程
Back End Engineer @Prosa.ai2018 ~ 現在
・
Software Engineer / Backend Engineer
1ヶ月以内
and interns, providing guidance on technology stacks, coding practices, and engineering cultures. Contributing as a member of the backend team for a meeting transcription product. AI Engineer • Prosa.ai AprilNovember 2018 | Bandung, West Java, Indonesia Conducting various NLP experiments such as machine translation, question answering, and text classification. Freelance Developer • PT Telkom Indonesia Persero, Tbk NovemberNovember 2018 | Bandung, West Java, Indonesia Developing and maintaining internal partnership system using Laravel. Intern • Arsanesia Entertainment JuneAugust 2015 | Bandung, West Java, Indonesia Developing mobile game using Unity Engine. Education Institut Teknologi Bandung Master's degree, Informatics • GPA 3
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
Institut Teknologi Bandung ITB
・
Informatika最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
検索のコツ
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
1年以上
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 現在
Professional Background
現在の状況
就学中
求人検索の進捗
Professions
Back-end Engineer
Fields of Employment
ソフトウェア
職務経験
1年未満
Management
スキル
言語
English
・
ビジネスレベル
Hindi
・
ネイティブまたはバイリンガル
Job search preferences
希望のポジション
Software Development Engineer
求人タイプ
パートタイム
希望の勤務地
Bangalore, Karnataka, India
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
PES University
専攻
B.Tech Computer Science and Engineering
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.