Benjamin Yap Email & Phone Number
@sap.com
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Who is Benjamin Yap? Overview
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Benjamin Yap is listed as Machine Learning Developer at SAP at SAP, a company with 114326 employees, based in Singapore, Singapore, Singapore. AeroLeads shows a work email signal at sap.com and a matched LinkedIn profile for Benjamin Yap.
Benjamin Yap previously worked as AI Scientist at Sap and Senior Data Scientist at Dbs Bank. Benjamin Yap holds Master'S Degree (Research), Computer Science, Cap: 4.5/5.0 from National University Of Singapore.
Email format at SAP
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AeroLeads found 2 current-domain work email signals for Benjamin Yap. Compare company email patterns before reaching out.
About Benjamin Yap
7 years experience in Machine Learning/Deep Learning research and scalable ML/DL product implementation at enterprise level with several million users. Dabbles in software architecture, full stack development, DevOps, and tech infrastructure. Enjoys reading up on research papers, especially in Natural Language Processing. Passionate about understanding underlying formulations and fundamentals beyond Python library calling.Always interested in hearing new ideas, especially in the intersection between using machine learning in the education sector.Python/Tensorflow/Flask/Javascript/WebSockets/DevOps/GitHub/Microservices/Docker/Jenkins/Continuous Integration and Deployment
Listed skills include Programming, Machine Learning, Research, Data Analysis, and 11 others.
Benjamin Yap's current company
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Benjamin Yap work experience
A career timeline built from the work history available for this profile.
Senior Data Scientist
- Code and technical design contribution to bank-wide machine learning tools- Conduct machine learning and deep learning training sessions- Implement machine learning/deep learning solutions for key initiatives and projects- Pioneering software development best practices (e.g., automated QA/testing, CI/CD)- Spark, Python, Tensorflow, Jenkins
Data Scientist
- Enhanced recommendation systems for marketing campaigns- Fuzzy string matching and clustering algorithms with Natural Language Processing techniques- Developed deep learning algorithm for real-time proximity-based product campaigns- Pioneered software development best practices (e.g., automated testing, CI/CD etc)- SQL, Teradata, Python, Tensorflow, Dash
Machine Learning / Deep Learning Developer
- Developed novel and scalable deep learning solutions for recommendation systems (Patented)- Implemented and optimised published research papers resulting in over 600x improvements in inference speed on Tensorflow and TensorRT- Tensorflow, Flask, MongoDB, Docker, Kubernetes- Hierarchical Convolutional Neural Networks for text classification- Distant.
Research Associate
- Document Matching Project using Siamese Long-Short Term Memory Networks- Benchmarked Machine Learning systems for comparison- Experience with Design Thinking- Internship Management Team
Phd Candidate
Job Scope:- Conduct research to improve state-of-the-art results- Assistant System Administrator- Teaching Assistant CS4248: Natural Language ProcessingResearch Interests:- Natural Language Processing- Artificial Intelligence and Machine LearningResearch Topics:- Information Extraction- Distant Supervision- Deep LearningProgramming Languages & Frameworks.
Senior Swimming Coach
Tutor, Developer, Researcher
- Tutoring- Student Management- Developing automated software solutions- Researching on teaching methods and integrating traditional techniques with cloud/software solutions
Freelance Developer
Developed software solutions for various organisations- Student management system with billing, SMS reminders, attendance logging- Mapping app to find directions- Backend of Snatch!- Sampletrove- Multi-nation module for TheSmartLocal with automatic location detectionLanguages- Python- Server/Database technologies - PHP/NodeJS/MySQL, Redis, MongoDB.
Intern
Project Management, Code testing
Colleagues at SAP
Other employees you can reach at sap.com. View company contacts for 114326 employees →
Julian Kern
Colleague at Sap
Mannheim, Baden-Württemberg, Germany, Germany
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SR
Silke Retzer
Colleague at Sap
Mannheim, Baden-Württemberg, Germany, Germany
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CE
Can Ertürk
Colleague at Sap
Üsküdar, Istanbul, Türkiye, Turkey
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HA
Hilduara Aránzazu Prada
Colleague at Sap
Bogota, D.C., Capital District, Colombia, Colombia
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SS
Suparna Soman
Colleague at Sap
Bengaluru, Karnataka, India, India
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AS
Aahil Saifi
Colleague at Sap
Delhi, India, India
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RR
Ravindra Raghavendra
Colleague at Sap
Bengaluru, Karnataka, India, India
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YO
Yurii Oleksiievych
Colleague at Sap
Heidelberg, Baden-Württemberg, Germany, Germany
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JB
Jazteen Bajao
Colleague at Sap
Philippines, Philippines
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AP
Anish Pattnaik
Colleague at Sap
Hyderabad, Telangana, India, India
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Benjamin Yap education
Master'S Degree (Research), Computer Science, Cap: 4.5/5.0
Bachelor’S Degree, Computer Engineering, 4.39/5
Frequently asked questions about Benjamin Yap
Quick answers generated from the profile data available on this page.
What company does Benjamin Yap work for?
Benjamin Yap works for SAP.
What is Benjamin Yap's role at SAP?
Benjamin Yap is listed as Machine Learning Developer at SAP at SAP.
What is Benjamin Yap's email address?
AeroLeads has found 2 work email signals at @sap.com for Benjamin Yap at SAP.
Where is Benjamin Yap based?
Benjamin Yap is based in Singapore, Singapore, Singapore while working with SAP.
What companies has Benjamin Yap worked for?
Benjamin Yap has worked for Sap, Dbs Bank, Ocbc Bank, National University Of Singapore, and Sports Lifestyle Initiatives.
Who are Benjamin Yap's colleagues at SAP?
Benjamin Yap's colleagues at SAP include Julian Kern, Silke Retzer, Can Ertürk, Hilduara Aránzazu Prada, and Suparna Soman.
How can I contact Benjamin Yap?
You can use AeroLeads to view verified contact signals for Benjamin Yap at SAP, including work email, phone, and LinkedIn data when available.
What schools did Benjamin Yap attend?
Benjamin Yap holds Master'S Degree (Research), Computer Science, Cap: 4.5/5.0 from National University Of Singapore.
What skills is Benjamin Yap known for?
Benjamin Yap is listed with skills including Programming, Machine Learning, Research, Data Analysis, Artificial Neural Networks, Text Mining, Computational Linguistics, and Project Management.
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