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4-6 years
6-10 years
10-15 years
More than 15 years
Founder & Director @VEKick Studio. 威踢工作室2019 ~ Present
・
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
Within one month
蔡作君 (Vek Tsai) 來自台中，現居內科，開南大學 法律系 畢業後，旋即投入 音樂產業 從事版權授權與行銷企劃等相關職務，曾擔任 滾石國際音樂 (股) 公司 的新媒體企劃，負責公司所有音樂產品的數位發行、版權查核及資料庫建立等工作近8年並在2019年
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
開南大學
・
法律
Senior Software Engineer @International Integrated Systems, Inc.(IISI)2020 ~ Present
・
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
Within one month
mechanism：StripPooling, MixedPoolingModule, SelectiveKernel . According to the input data, use convolutional layers of different dimensions (1D~3D) to learn information. Used weight standardization to assign weights to improve model training effect. Built a composite model of regression and classification. AI development environment management Used docker or Anaconda to establish and maintain the development environment with GPU. Set up the environment to use the LLM (LLAMA2, Taiwan-LLaMa, Codellama, Llama2-chinese-13b, etc.) Model Training and Tuning Tips Adjusted the data batch size according to the hardware performance, and adjusted the normalization method in hidden
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
私立中原大學 Chung Yuan Christian University
・
環境工程
Senior Full-stack Developer @馬紹爾群島商彩虹科技股份有限公司台灣分公司 Rainbow Tech Limited2021 ~ Present
・
Front-End / Back-End / Full Stack Web Developer
Within one month
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
臺灣科技大學
・
資訊管理AI & Embedded Systems Consultant @Self Employed2021 ~ Present
・
Deep Learning Engineer
More than one year
Kishan Gondaliya Experienced embedded software engineer working on Embedded Systems and Deep Learning to enable vision and voice-based machine learning algorithms on low-power FPGA and edge embedded devices. ~8 years of experience consists in writing, debugging, and optimizing software/firmware for embedded [email protected] Ahmedabad, Gujarat, India Skillset Languages: Frameworks: Dev Tools: HW Platform: Cloud (GCP): Cloud (AWS): Other: C, Python, C++ Tensorflow (TFlite, TFmicro), Keras, Caffe, Darknet Anaconda, Git, Gerrit, Perforce, Pycharm, CVS, Jira, Confluence Google Coral TPU, Lattice ECP5, U+, Crosslin-NX FPGA, Raspberry Pi, Intel Movidius, NVIDIA
Employed
Full-time / Interested in working remotely
4-6 years
Charotar University of Science & Technology
・
Electronics & CommunicationUnemployed
Full-time / Interested in working remotely
10-15 years
National Formosa University (國立虎尾科技大學)
・
動力機械
Test Engineering/Devops Manager, Lead and/or Individual Contributor
Within one year
Grafana), Provisioning (Cobbler), Monitoring (Sumologic, DataDog, New Relic) Lab Tech : Storage (SAN, NAS, iSCSI, HP MSA, NFS), Cobbler, DHCP, Iptables/Firewall, Switches, Routers, VPN Gateways, Wi-Fi APs, other lab related hardware. Other Software : Eclipse, Pycharm, Redmine, TestCentral, TestRail, Bitbucket, Github, PyCharm, MySQL Workbench, Postman, Jmeter, Vagrant, VirtualBox, Anaconda, Android Studio, Xcode, Ethereal, Wireshark, iPerf, more. Protocols : L2/L3/L4 protocols, IPMI, NFS, PXE, TFTP, FTP, SSH, DHCP, SMB, RPC, TLS, SSL, DNS, HTTP, HTTPS, LDAP, NTP, RDP, Rsync, SMTP, SNMP, Telnet. Professional Experience Senior Site Reliability Engineer MarPresent Working on infrastructure mgmt software
Full-time / Interested in working remotely
More than 15 years
Worcester Polytechnic Institute
・
BS in Electrical and Computer Engineering
Admin Supervisor @PT. Rafindo Tigasakti / PT. Multiguna Servindo2017 ~ 2021
・
Administration Staff, Purchasing, Leader,
Within one month
interview bagi calon pegawai baru. Admin Supervisor • PT. Rafindo Tigasakti / PT. Multiguna Servindo DesemberAgustus 2021 Bertanggungjawab atas semua kegiatan administrasi proyek, baik laporan administrasi pekerjaan, progres pekerjaan dan laporan pembayaran proyek. Proyek yang dahulu bekerjasama antara lain proyek Depo MRT Jakarta (Lebak Bulus), LRT Jakarta, Anandamaya Residence, Sudirman 7.8, Bandara Sultan Hasanudin Makassar, Bandara Kertajati, Bandara Noor Syamsudin Banjarmasin,dll Key Account • PT. Indosat Ooredoo SeptemberMei 2016 Bertanggungjawab atas penjualan produk B2B Indosat baik produk komunikasi pasca bayar, internet dedicated, dan produk yang menggunakan simcard Indosat. Pernah menjadi Sales Terbaik ke
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Universitas Islam Negeri Syarif Hidayatullah Jakarta
・
Manajemen
Senior Medical Representative PN and EN nutrition team @PT. Otsuka Indonesia2018 ~ Present
・
Senior Medical Representative
Within three months
doctors' clinics and hospitals 3. maintain good relationships with customers. 4. mastering the work area well, conducting surveys and providing offers to customers 5.Create sales reports, and sales estimates every month to find out the potential of each customer in order to increase sales Asisten Apoteker • RSIA Ananda Makassar MaretDesember 2016 serving prescriptions, giving and explaining doses and indications of drugs to patients and providing the types of drugs needed by each doctor in the hospital. Pendidikan Universitas Pancasakti Makassar FarmasiAkademi Farmasi Yamasi Makassar farmasiSkil Word PowerPoint Excel Photoshop Bahasa Arabic — Dasar English — Menengah
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Universitas Pancasakti Makassar
・
FarmasiFull-time / Interested in working remotely
6-10 years
Himalayan College Of Management
・
Master's degree , MBA
Technician @PT. PAMA PERSADA NUSANTARA2017 ~ Present
・
Electrical Engineer
Within six months
Ferry Dwi Ananda Electrical Engineer Balikpapan, Balikpapan City, East Kalimantan, Indonesia Fast Adaptable, Motivate Other, Agile, and Contiuous Innovation Mindset Are My Postitive Point, certified K3 teknisi listrik form Kementrian Ketenagakerjaan RI from 2018 until now. Able to conduct electrical repair, maintenance, and inspection based on indonesia’s electrical standard (PUIL). 6 Years Experience On Mechanical, Electrical, and Plumbing Technician In Mining Contractor. Ferry Dwi Anandaferrydwiananda@gmail.com Pengalaman Kerja Technician • PT. PAMA PERSADA NUSANTARA OktoberPresent Able to conduct electrical repair, maintenance, and inspection based on Indonesia’s electrical standard (PUIL), troubleshoot generator set
Employed
Full-time / Interested in working remotely
6-10 years
Universitas Balikpapan
・
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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
Current status
Unemployed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
4-6 years work experience (2-4 years relevant)
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Job search preferences
Positions
Machine Learning Engineer
Job types
Full-time
Locations
Taipei, 台灣, Tōkyō, 東京都日本, Singapore, China
Remote
Interested in working remotely
Freelance
No
Educations
School
National Cheng Kung University
Major
Computer and Communication Engineering
Core Competencies
Hard Skills
- Python / Unix / Shell Script / SQL
- ML / DL / NLP
- Git / Docker
- Anaconda / Poetry
- GCP / AWS
- Retrieval-Augmented Generation (RAG)
- Vector Database (Qdrant, MongoDB Atlas)
- FastAPI
Soft Skills
- Leadership and mentorship
- Strong problem-solving ability
- Strategic Planning and Execution
- Self-learner
- Code Review and Quality Assurance
- Highly stress resistant
- Experience working in a startup and be part of an agile team
- Project management
- Mandarin (native) /English (TOEIC 840)
Familier Libraries
- Tensorflow / Keras
- Scikit-learn
- HuggingFace
- Pandas / Numpy
- Langchain
Work Experience
Uto.ai, Team Lead | Oct. 2023 - Present
At Uto.ai, I led the development of a multilingual, LLM-based chatbot that improved service delivery and user interaction across various countries. I managed a team of five engineers, focusing on complex, cross-functional communications in a fast-paced environment.
Leadership and Innovation
Spearheaded the AI team, focusing on talent acquisition, training, and mentorship. Implemented effective strategies for team growth and skill enhancement.
Project Management
Collaborated with stakeholders to align project goals with business objectives, ensuring cross-functional collaboration for project advancement.
Technical Expertise
Enhanced chatbot interactions by integrating vector databases with Retrieval-Augmented Generation (RAG), creating a customizable knowledge base, enhancing character interaction and user experience. Enabled support for multiple languages, catering to a diverse user base and showcasing the project's international reach.
Development of Long-Term Memory Systems
Utilized MongoDB to build a long-term memory system for the chatbot, enabling the retention and contextual use of information across interactions.
API Development
Led the development of RESTful APIs, ensuring seamless integration and communication between the chatbot and external services.
Quality Assurance and Best Practices
Conducted code reviews to maintain high standards of code quality, adherence to best practices, and to foster a culture of continuous learning and improvement within the team.
Playsee, AI Engineer, Mar. 2023 ~ Oct. 2023
At Playsee, I developed a conversational recommendation system that analyzed data from over 10 million users across multiple platforms. I designed text and video content recommendations tailored to international markets, thereby enhancing global user engagement.
Data Analysis at Scale
- Conducted in-depth analysis of extensive social media data, identifying user patterns and trends to inform the development of a conversational recommendation system.
Personalized Recommendations
- Leveraged the prowess of large language models (LLM), including ChatGPT, to guide users in articulating their preferences, enabling precise content recommendations.
- Collaborated directly with OpenAI engineers to stay at the forefront of LLM information and technology through bi-weekly webinar meetings.
- Analyzed user behavior with precision to deliver tailored recommendations, such as posts, reels and local stores.
- Formulated targeted advertising recommendations for commercial accounts in contexts that maximize their impact.
Vector Database Optimization
- Performed exhaustive benchmarking of multiple vector databases, discerning and implementing best practices to elevate system performance.
- Devised meticulous database schemas, finely tuned to achieve peak performance.
Sentence Embedding Service
- Evaluated a spectrum of embedding models, aligning selections with project requirements and effectively balancing performance and cost.
- Implemented GPU acceleration for expedited embedding computations while prudently managing budget constraints.
- Successfully orchestrated the deployment of the sentence embedding service onto Google Cloud Platform (GCP).
Emotibot, NLP Data Scientist, Sep. 2021 ~ Feb. 2023
As an NLP Data Scientist at Emotibot, I dedicated myself to advancing the field of Natural Language Processing (NLP) through research, innovation, and practical application. My role encompassed a wide range of responsibilities aimed at optimizing NLP downstream tasks, including Sentiment Analysis, Name Entity Recognition (NER), Relation Extraction, Key Information Extraction, and more. Here's a breakdown of my contributions:
Name Entity Recognition System
- Pioneered the development of a re-trainable platform for NER models, enabling fine-tuning with customized datasets.
- Successfully fine-tuned the baseline NER model, achieving an outstanding F1 score of up to 90%.
- Applied OCR results to extract critical information from receipts and tickets, enhancing data extraction capabilities.
Sentence Embedding
- Conceived and executed experiments utilizing pre-trained models to generate sentence embeddings, enhancing the performance of various NLP downstream tasks.
- Created an API server capable of receiving sentences and returning embeddings, streamlining the integration of pre-trained models across different modules, and improving operational efficiency.
Document Understanding
- Implemented a groundbreaking document encoder that leveraged coordinates and sentence embeddings from bounding boxes as features.
- Incorporated BERT models to extract relationships between different tokens within documents, augmenting the understanding of textual content with spatial information.
- Established a dedicated sentence embedding API server to support seamless integration and utilization of these enhanced document understanding capabilities.
Chungyo Group, Machine Learning Engineer, Nov. 2020 ~ Apr. 2021
Manage a project of a real-time forecasting system for online games. Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features to analysis user-behavior and built statistical models in Python based on ML algorithms like SVM, Logistic Regression, Neural Networks.
Universal Scientific Industrial, Machine Learning Engineer, Oct. 2017 ~ Jun. 2020
Implementation of Object Detection and Face Recognition on embedding systems. These functions help users to classify photos automatically from the background with only a few hardware resources.
Education
National Cheng Kung University, M.Sc. in Institute of Computer and Communication Engineering, 2014 ~ 2016
National Central University, B.Cs. in Communication Engineering, 2009 ~ 2014
Self-learning
Natural Language Processing
Recommendation System
TensorFlow Developer Certificate, 2021/04
Testing the ability to use TensorFlow to build deep learning models for a range of tasks such as regression, computer vision, natural language processing, and time series forecasting.
Coursera Certifications (Online Courses)
Shopee Code League 2020
Participate in Shopee Code competition. The competition contains some different kind of data science applications, such as Data Cleaning, Data Analytics, Object Classification and NLP. Link
Shopee Code League - Product Detection - Kaggle
Use EfficientNet to detect products in images. Reach the top 30%.
Shopee Code League - Logistics - Kaggle
Cleaning data. Flagged out the late deliveries and penalties are imposed on the providers to ensure they perform their utmost.
Core Competencies
Hard Skills
- Python / Unix / Shell Script / SQL
- ML / DL / NLP
- Git / Docker
- Anaconda / Poetry
- GCP / AWS
- Retrieval-Augmented Generation (RAG)
- Vector Database (Qdrant, MongoDB Atlas)
- FastAPI
Soft Skills
- Leadership and mentorship
- Strong problem-solving ability
- Strategic Planning and Execution
- Self-learner
- Code Review and Quality Assurance
- Highly stress resistant
- Experience working in a startup and be part of an agile team
- Project management
- Mandarin (native) /English (TOEIC 840)
Familier Libraries
- Tensorflow / Keras
- Scikit-learn
- HuggingFace
- Pandas / Numpy
- Langchain
Work Experience
Uto.ai, Team Lead | Oct. 2023 - Present
At Uto.ai, I led the development of a multilingual, LLM-based chatbot that improved service delivery and user interaction across various countries. I managed a team of five engineers, focusing on complex, cross-functional communications in a fast-paced environment.
Leadership and Innovation
Spearheaded the AI team, focusing on talent acquisition, training, and mentorship. Implemented effective strategies for team growth and skill enhancement.
Project Management
Collaborated with stakeholders to align project goals with business objectives, ensuring cross-functional collaboration for project advancement.
Technical Expertise
Enhanced chatbot interactions by integrating vector databases with Retrieval-Augmented Generation (RAG), creating a customizable knowledge base, enhancing character interaction and user experience. Enabled support for multiple languages, catering to a diverse user base and showcasing the project's international reach.
Development of Long-Term Memory Systems
Utilized MongoDB to build a long-term memory system for the chatbot, enabling the retention and contextual use of information across interactions.
API Development
Led the development of RESTful APIs, ensuring seamless integration and communication between the chatbot and external services.
Quality Assurance and Best Practices
Conducted code reviews to maintain high standards of code quality, adherence to best practices, and to foster a culture of continuous learning and improvement within the team.
Playsee, AI Engineer, Mar. 2023 ~ Oct. 2023
At Playsee, I developed a conversational recommendation system that analyzed data from over 10 million users across multiple platforms. I designed text and video content recommendations tailored to international markets, thereby enhancing global user engagement.
Data Analysis at Scale
- Conducted in-depth analysis of extensive social media data, identifying user patterns and trends to inform the development of a conversational recommendation system.
Personalized Recommendations
- Leveraged the prowess of large language models (LLM), including ChatGPT, to guide users in articulating their preferences, enabling precise content recommendations.
- Collaborated directly with OpenAI engineers to stay at the forefront of LLM information and technology through bi-weekly webinar meetings.
- Analyzed user behavior with precision to deliver tailored recommendations, such as posts, reels and local stores.
- Formulated targeted advertising recommendations for commercial accounts in contexts that maximize their impact.
Vector Database Optimization
- Performed exhaustive benchmarking of multiple vector databases, discerning and implementing best practices to elevate system performance.
- Devised meticulous database schemas, finely tuned to achieve peak performance.
Sentence Embedding Service
- Evaluated a spectrum of embedding models, aligning selections with project requirements and effectively balancing performance and cost.
- Implemented GPU acceleration for expedited embedding computations while prudently managing budget constraints.
- Successfully orchestrated the deployment of the sentence embedding service onto Google Cloud Platform (GCP).
Emotibot, NLP Data Scientist, Sep. 2021 ~ Feb. 2023
As an NLP Data Scientist at Emotibot, I dedicated myself to advancing the field of Natural Language Processing (NLP) through research, innovation, and practical application. My role encompassed a wide range of responsibilities aimed at optimizing NLP downstream tasks, including Sentiment Analysis, Name Entity Recognition (NER), Relation Extraction, Key Information Extraction, and more. Here's a breakdown of my contributions:
Name Entity Recognition System
- Pioneered the development of a re-trainable platform for NER models, enabling fine-tuning with customized datasets.
- Successfully fine-tuned the baseline NER model, achieving an outstanding F1 score of up to 90%.
- Applied OCR results to extract critical information from receipts and tickets, enhancing data extraction capabilities.
Sentence Embedding
- Conceived and executed experiments utilizing pre-trained models to generate sentence embeddings, enhancing the performance of various NLP downstream tasks.
- Created an API server capable of receiving sentences and returning embeddings, streamlining the integration of pre-trained models across different modules, and improving operational efficiency.
Document Understanding
- Implemented a groundbreaking document encoder that leveraged coordinates and sentence embeddings from bounding boxes as features.
- Incorporated BERT models to extract relationships between different tokens within documents, augmenting the understanding of textual content with spatial information.
- Established a dedicated sentence embedding API server to support seamless integration and utilization of these enhanced document understanding capabilities.
Chungyo Group, Machine Learning Engineer, Nov. 2020 ~ Apr. 2021
Manage a project of a real-time forecasting system for online games. Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features to analysis user-behavior and built statistical models in Python based on ML algorithms like SVM, Logistic Regression, Neural Networks.
Universal Scientific Industrial, Machine Learning Engineer, Oct. 2017 ~ Jun. 2020
Implementation of Object Detection and Face Recognition on embedding systems. These functions help users to classify photos automatically from the background with only a few hardware resources.
Education
National Cheng Kung University, M.Sc. in Institute of Computer and Communication Engineering, 2014 ~ 2016
National Central University, B.Cs. in Communication Engineering, 2009 ~ 2014
Self-learning
Natural Language Processing
Recommendation System
TensorFlow Developer Certificate, 2021/04
Testing the ability to use TensorFlow to build deep learning models for a range of tasks such as regression, computer vision, natural language processing, and time series forecasting.
Coursera Certifications (Online Courses)
Shopee Code League 2020
Participate in Shopee Code competition. The competition contains some different kind of data science applications, such as Data Cleaning, Data Analytics, Object Classification and NLP. Link
Shopee Code League - Product Detection - Kaggle
Use EfficientNet to detect products in images. Reach the top 30%.
Shopee Code League - Logistics - Kaggle
Cleaning data. Flagged out the late deliveries and penalties are imposed on the providers to ensure they perform their utmost.