About Us
Tang Quoc Thai - Senior Machine Learning Engineer
Location: Amsterdam, Holland
Lead Machine Learning Engineer at MoMo
Spearhead the development of an end-to-end ML platform for feature engineering, model management and deployment, streamlining workflows and reducing operational costs by 30%.
DevOps Practice Lead
Implemented DevOps practices, CI/CD pipelines reducing deployment times by 75%, minimizing errors. Mentored team on emerging technologies.
Cloud Migration to AWS
Architected cloud migration to AWS, leveraging services like EKS, RDS, S3 for high availability, scalability, and cost optimization
Son Le - Senior Solutions Architect
Location: Singapore
IBM Watson APAC Key Member
Son was a solutions architect at IBM Watson Software Services team during 2016 - 2020.
APAC Experience Exposure
Son has implemented numerous Data & AI solutions for large corporates in APAC region e.g. Samsung Semiconductor (Korea), PTT Corporation (Thailand), DBS bank (Singapore), OCBC bank (Singapore), Land Transport Authority (Singapore)
Quang Pham - Senior Software Engineer and Serial Builder
Location: Ho Chi Minh City, Vietnam
Senior Software Engineer and Tech Lead
Quang is a senior software engineer and tech lead with over 15 years of experience. He spent a decade working in Helsinki and Amsterdam before returning to Vietnam to focus on building his own startups.
Serial Builder
Quang has developed several SaaS products, including Upbase.io, an all-in-one work management platform that integrates tasks, documents, calendars, files, and discussions. He also co-founded Upbrand (joinupbrand.com), a VC-backed AI tech startup that helps manufacturers in Southeast Asia rapidly create and sell direct-to-consumer products in the U.S. market.
Our Tech Stack
MLFlow
MLflow, at its core, provides a suite of tools aimed at simplifying the ML workflow. MLFlow is being used for:End-to-End ML Lifecycle Management
MLFlow supports all stages of the ML lifecycle, including experimentation, reproducibility, deployment, and monitoring, making it a comprehensive tool for ML projects.
Experiment Tracking
MLFlow enables tracking and logging of experiments, including parameters, metrics, models, and artifacts, which helps with comparing different runs, improving reproducibility.
Model Management
MLFlow allows easy management and storage of machine learning models, including versioning, so that multiple versions of models can be stored, updated, and deployed consistently.
Apache Spark
Apache Spark is an open-source unified analytics engine for large-scale data processing. These are the key features of Spark:Distributed Computing
Spark is designed for big data and distributed computing, enabling the processing of massive datasets across multiple nodes, which makes it ideal for large-scale machine learning tasks.
MLlib
Spark comes with MLlib, a scalable machine learning library that includes common algorithms for classification, regression, clustering, collaborative filtering, and more, optimized for performance on large datasets
Data Integration
Spark integrates seamlessly with various data sources, including Hadoop, HDFS, NoSQL databases, and data lakes, which allows smooth handling of structured and unstructured data in machine learning projects.
Evidently
Powered by the leading open-source ML monitoring library. Our platform is built on top of Evidently, a trusted open-source ML monitoring tool. These are the key features of Evidently:Monitoring ML Models
Evidently helps monitor machine learning models in production by tracking performance metrics, detecting data drift, concept drift, and providing insights into model behavior over time.
Data and Concept Drift Detection
One of Evidently’s core strengths is its ability to detect both data drift (changes in input data distribution) and concept drift (changes in the relationship between input data and target labels), which are critical for model health in dynamic environments.
Seamless Integration
Evidently integrates well with Python-based machine learning environments and tools like Pandas, Scikit-learn, and MLFlow, making it simple to adopt in existing workflows.
Nvidia Triton
An open-source software that helps standardize model deployment and delivers fast and scalable AI in production. These are the key features of Nvidia Triton:Multi-Framework Support
Triton supports multiple machine learning and deep learning frameworks, including TensorFlow, PyTorch, ONNX, TensorRT, and more, enabling seamless deployment of models across diverse frameworks.
Optimized Inference
Triton is designed for high-performance model inference, leveraging Nvidia GPUs (and CPUs) for optimized, low-latency inference, making it suitable for real-time AI applications and large-scale deployments.
Model Deployment Flexibility
Triton allows deploying models in various formats, including Ensemble Models, where multiple models can be chained together in a pipeline, and multi-model deployments on a single server for better resource utilization.
Grafana
Grafana is the open source analytics & monitoring solution for every database. These are the key features of Grafana:Integration with ML Ops Tools
Grafana integrates well with machine learning operations (MLOps) tools, such as MLFlow, Evidently, and Kubernetes, offering end-to-end visibility into model lifecycle management, deployments, and infrastructure health.
Multi-Source Data Support
Grafana integrates with a wide variety of data sources, such as Prometheus, InfluxDB, Elasticsearch, MySQL, and PostgreSQL, allowing easy aggregation of machine learning metrics from multiple systems.
Powerful Visualization Tool
Grafana is widely used for its customizable and interactive dashboards, providing a powerful way to visualize machine learning metrics and insights in real-time, aiding in model monitoring and performance tracking.
Our Services
These are some of the services we can provide to you.
Design and Develop Data & Machine Learning Platform from business goals.
We develop PoC from your business case.
We advise you on what tooling you should select based on your budget and your engineering skillset.
We build the first machine learning model baseline for you.
We advise you on the infrastructure to develop your AI/ML platform. We are cloud-agnostic and we have experience with hybrid (cloud & on-prem) systems
We help you recruit engineers from our network to work on the project. We can also transfer the team together with the solution to you.
What our friends say?
" I am thrilled to share my experience working alongside Son in the realm of AI engineering. Our journey together began with a captivating event in Vietnam, where the 'Viet Engineering Story' unfolded. The series of events not only broadened my understanding but also showcased Son's dedication to the community. From his informative YouTube videos to organizing such impactful in-person events, he demonstrated unwavering commitment. Traveling from Penang to Ho Chi Minh City to support and witness his efforts was an enlightening experience. Son is not only reliable but also possesses a rare ability to connect individuals across the Vietnamese engineering landscape. "
Chong Wei
CEO & CTO at Telebort.IO
" Mr. Son Le is a dynamic community builder and a catalyst for professional growth, consistently going above and beyond to uplift others. He has used his network to host engaging online storytelling sessions, where individuals share their success stories and experiences living abroad, providing invaluable insights for engineers in Vietnam. In addition to these online initiatives, he has organized impactful offline workshops featuring real-life case studies from top tech companies in Vietnam. These sessions, with diverse speakers from individual contributors to leaders, have helped attendees better understand how technology is applied in real-world scenarios. His dedication to knowledge-sharing and community building is truly commendable. "
Phat Tran
Co-Founder & CTO at GoAhead
" I’ve had the privilege of witnessing Anh Son’s impact on the tech community both in Saigon and Singapore. He’s a true community builder who consistently inspires engineers and entrepreneurs across a wide range of industries for more than a decade. His ability to bring people together and foster innovation is remarkable. I was fortunate to be part of one of his tech interviews, and several events where his thoughtful approach and deep understanding of technology were evident. Now, with the launch of his new venture, Leo and Rome, I have no doubt that he will continue to excel and make an even greater impact in the tech outsourcing space. "
Akshay Sharma
Co-Founder & CTO at Hoozing