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On
4〜6年
6〜10年
10〜15年
15年以上
Software engineer
Full stack software Develpoer @Avidbots India private Limited2023 ~ 現在
・
Software Engineer
1ヶ月以内
NIKHIL RAO KODATI Full Stack Software Developer [email protected] phone:/Hyderabad, Telangana, India Experienced Full Stack software engineer proficient in development with a strong focus on delivering robust and innovative solutions. Recognized for exceptional communication skills and the ability to foster collaboration within teams. A dedicated problem solver with a proactive approach, I thrive in environments that value responsibility and continuous learning. Committed to delivering high-quality work and exploring new avenues for growth and contribution. Work Experience Full stack software Developer • Avidbots India private Limited JanuaryPresent Acted as an
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
Vasavi college of Engineering
・
Bachelor of Engineering
Past
數位發展部 課長 @科林儀器2020 ~ 2023
・
Software Engineer
1ヶ月以内
在三個月內重構完成 (作品連結) 主導部門CI/CD導入 ， 奠定PChome後期自動化部屬的規範 主導部門設計 GitFlow, WorkFlow 協助許多舊專案(PHP 4)升級 ，解決 Breaking change 與重構 ## T echnology stack: PHP jQuery Laravel Vue Ansible Docker Full-Stack Engineer (Remote) • 科林儀器 三月九月 2018 擔任遠端工程師(Remote engineer)，協助處理內部
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
4〜6年
中原大學
・
資訊管理學系
全端工程師 @帝商科技股份有限公司2020 ~ 現在
・
Software Engineer
1ヶ月以内
陳韋嘉 全端工程師 / Taichung，TW / [email protected]畢業於朝陽科技大學資訊工程學系 喜愛打棒球、四處旅遊、Coding和思考邏輯所帶來的成就感、熱於學習語發現新的技術、閱讀科技或財經相關的文章。 Skills Backend/Frontend PHP - Laravel, CodeIgniter Node.js C# C＋＋ C Python - Robot Framework Java JQuery HTML CSS Vue.
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
朝陽科技大學
・
資訊工程系
Software Engineer @Rekapee2022 ~ 現在
・
Software Engineer
1ヶ月以内
Engineer SPE Solution Project : - BNI QRIS Merchant Management - Permata QR Acquiring Management - Bersama Monitoring (Artajasa) - BNI Life Insurance NovemberApril 2019 Surakarta Web Programmer PT. Visione System Project : - MenaraOne Apartment System - Niseko Japan Apartment System - Ecommerce sepatubesar.com JuniAgustus 2018 Sukoharjo Web Programmer Dinar Batik Project : - Andropedia.id JuniSeptember 2017 Karanganyar Web Programmer PT Indoterra Pratama Project : - Home Automation Balkondes Tuksongo EducationSMK Negeri 2 Surakarta Rekayasa Perangkat Lunak (Software Engineering) Belajar dan berorganisasi Skill PHP HTML CSS MySQL MariaDB Laravel CodeIgniter NodeJS ExpressJS Yii Javascript JQuery Bootstrap Tailwind CSS Language Indonesian - Mother language English — Intermediate Javanese - Mother language
就職中
・
就職希望
フルタイム / リモートワークのみ
4〜6年
SMK Negeri 2 Surakarta
Software Engineer @Aqila Digital Teknologi2023 ~ 現在
・
Software engineer
1ヶ月以内
in the education sector. In my role, I develop features for managing products, students, classes, and the creation of online exam feature Lecturer • Universitas Internasional Batam AgustusJuni 2017 | Batam, Indonesia At the International University of Batam, I specialize in teaching web programming, imparting knowledge in HTML, CSS, JavaScript, and PHP to students Education BANDUNG INSTITUTE OF TECHNOLOGY Magister Electrical Engineering •BANDUNG INSTITUTE OF TECHNOLOGY Teknologi komputer jaringan Media Digital •PADJADJARAN UNIVERSITY Associate's Degree •Skills PHP Python Laravel React Js Vue.js Mysql Postgresql Mongodb Linux Server Alibaba Cloud AWS Postman Git Research Critical Thinking Communications Bahasa Indonesian
就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
Institut Teknologi Bandung
・
elektro
Team Lead/Senior Software Engineer @MEXC2022 ~ 現在
・
Software Engineer
1ヶ月以内
Red Cho As a software engineer with e xperience of distributed systems, algorithms, database and multi-programming languages Taipei, Taiwan Work Experience Software Team Lead / Software engineer • Mexc Global • 2022/09~Present ．Review code, system design and make decision with technical trade off in every project, features when as a team lead(around 8 months). ．Lead the cross-functional project, solve the problem in communication, trade off, division of labor and cooperation and make sure the project work successfully for more than 6 teams. ．Optimized multiple api, features, data pipeline in work, the most successful one
就職中
フルタイム / リモートワークに興味あり
6〜10年
就職中
フルタイム / リモートワークのみ
6〜10年
National Taichung University of Science and Technology.
・
Computer Science and Information EngineeringSenior Software Development Enginner @Sotera Wireless Inc.2023 ~ 現在
・
Software Engineer
1ヶ月以内
就職中
パートタイム / リモートワークに興味あり
6〜10年
NTUST
・
Graduate Institute of Automation And Control就職中
フルタイム / リモートワークに興味あり
4〜6年
Budi Luhur University
・
Bachelor Degree
Web Developer @Ubisoft2023 ~ 現在
・
Software Engineer
2ヶ月以内
Experience Web Developer • Ubisoft JunePresent Software Engineer • Pentest-Tools DecemberJune 2023 Responsibilities Architecting and implementing software functionalities Migrating old SQL database to Laravel concepts Refactor old functionalities such as billing, cancellations, report generation, downloads, scans automation, emails, etc Key Achievements Reduction in code complexity by successfully refactoring heaps of legacy PHP/JS code into Laravel/Vue Migrated data and schema without data loss or downtime , ensuring a smooth transition to the new database structure Improved system performance by optimizing code execution, resulting in a 20% decrease in response time Skills : Laravel, VueJS, PHP, Javascript, SQL Technical Writer Freelance
フルタイム / リモートワークに興味あり
4〜6年
POLITEHNICA UNIVERSITY OF BUCHAREST
・
Bachelor of Engineering in Nanotechnologies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
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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.
Professional Background
現在の状況
就学中
求人検索の進捗
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
ソフトウェア, 人工知能／機械学習, ロボティクス
職務経験
1年未満
Management
なし
スキル
言語
English
・
ビジネスレベル
German
・
流暢
Chinese
・
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 Engineer
求人タイプ
フルタイム
希望の勤務地
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
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
國立清華大學
専攻
資訊應用研究所
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios