Nguyen Van Binh Email & Phone Number
Who is Nguyen Van Binh? Overview
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Nguyen Van Binh is listed as Software Engineer II at Momos, a with 157 employees, based in Singapore. AeroLeads shows a matched LinkedIn profile for Nguyen Van Binh.
Nguyen Van Binh previously worked as Software Engineer at Momos and Founder & Technical Writer at Binary Dissect. Nguyen Van Binh holds Bachelor Of Engineering - Be, Computer Engineering, 4.9/5.0 from National University Of Singapore.
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About Nguyen Van Binh
Final year student at National University of Singapore, specializing in full data science and engineering lifecycle. Knowledge-sharing advocate with experience in developing machine learning models and data infrastructure for various startups.
Listed skills include Physics, Amazon Web Services, Google Data Studio, Teaching, and 15 others.
Nguyen Van Binh's current company
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Nguyen Van Binh work experience
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Software Engineer
Current
Founder & Technical Writer
CurrentHelp engineers level up by sharing programming concepts and techniques
Software Engineer, Machine Learning
• Train and quantize ResNet-50 and YOLOv7 models with ByteTrack for image classification, object detection and tracking • Build real-time video streaming system (1080p resolution at 30fps) integrating machine learning inference on Rockchip and Qualcomm SoC with hardware-accelerated codecs using GStreamer, multiprocessing, and pipelining in Python• Create Python binding for C++ Snapdragon kernel libraries, streamlining development cycle for on-chip machine learning systems, bringing down inference time by 25 times compared to pure Python implementation• Deliver tools for camera calibration, image orthogonalization, image stitching, distance, and depth estimations with OpenCV, speeding up internal image processing workflow by 55%
Data Science Intern
• Developed web domain credibility ranking models with graph neural networks adopting PyTorch and NetworkX, set up end-to-end ML pipeline, deployed models in production (making prediction for > 1 million domains) using FastAPI• Established data infrastructure (data warehouse, computation, orchestration) on Azure Cloud Services, enhancing data security, quality, and integrity, improving efficiency of data and software teams, and fastening ML life cycle by 40%• Increased efficiency of social media data scraping process by 30% through customization of open-source tools
Research Assistant
• Analysed tradeoffs in learning algorithms for spiking fully connected and convolutional neural networks• Framed architecture and wrote assembly instructions for spiking neural network hardware accelerators on FPGA
Teaching Assistant
Placed on the Honour List of Student Tutors for Excellence in Teaching with 4.8/5 feedback point (faculty average: 4.2)IT5003 Data Structures and Algorithms• Conducted classes of ~20 Master students, reviewed DSA concepts and implementation techniques• Showcase live coding in Python, provided consultations, graded, and gave feedback to weekly problem setsCS2102 Database System • Facilitated teaching and discussion of Relational Algebra, ER model, SQL, and Database Normalization techniques• Marked and gave feedback on database design and implementation project and weekly assignmentsCG2111A Engineering Principles and Practice II• Provided consultations during lab sessions and guidance for the final course project, graded lab reports• Related topics: bare-metal programming, communication protocols, Lidar, SLAM, power management
Machine Learning Engineer
• Trained and deployed ML models for scooter parking image classification on AWS SageMaker achieving 95% accuracy and 0.98 precision score, detecting bad parking behaviours, enhancing user experience, and saving US$200,000 annually• Proposed and coded backend for an in-house annotation platform utilizing Django REST Framework and PostgreSQL, streamlining collaboration between ML and data annotation teams, leading to time savings of 5+ hours per week• Performed experiments with RK1808 neural processing unit (NPU) for on-chip surface detection task on scooters
Research Assistant
• Collaborated with Physics teachers and Engineers to design, develop and test experimental Physics models used in national and international Physics Olympiads• Conducted coaching sessions for students participating in national Physics Olympiads
Nguyen Van Binh education
Bachelor Of Engineering - Be, Computer Engineering, 4.9/5.0
Noc Paris, Batch 1
Education record
Advanced Program In Data Science And Artificial Intelligence
High School Diploma, Physics
Frequently asked questions about Nguyen Van Binh
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What company does Nguyen Van Binh work for?
Nguyen Van Binh works for Momos.
What is Nguyen Van Binh's role at Momos?
Nguyen Van Binh is listed as Software Engineer II at Momos.
Where is Nguyen Van Binh based?
Nguyen Van Binh is based in Singapore while working with Momos.
What companies has Nguyen Van Binh worked for?
Nguyen Van Binh has worked for Momos, Binary Dissect, Vebits, Science Feedback, and National University Of Singapore.
How can I contact Nguyen Van Binh?
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What schools did Nguyen Van Binh attend?
Nguyen Van Binh holds Bachelor Of Engineering - Be, Computer Engineering, 4.9/5.0 from National University Of Singapore.
What skills is Nguyen Van Binh known for?
Nguyen Van Binh is listed with skills including Physics, Amazon Web Services, Google Data Studio, Teaching, Data Analysis, Verilog, Deep Learning, and Vue.Js.
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