All talents specialized in NLP

I come from a software development background, Android Engineer and Embedded Engineer, I have full knowledge of programming skill. I am strong in investigating source code, problem solving, and logical thinking. Entering Data Science field, I got the Data Science Specialization certificate and done some courses relate to AI field. Joining team as AI Engineer, I have done many AI projects in different fields, such as Computer Vision (object detection, object segmentation, object classification), Time-series forecasting, NLP.

Highly motivated and experienced AI Engineer with 7 years of experience in artificial intelligence and a deep commitment to advancing the field. Skilled in GenAI, Machine Learning, Deep Learning, and Natural Language Processing with a proven track record of delivering high-quality solutions that drive business value. As a Kaggle Master with an impressive track record-1 gold, 8 silver, and 3 bronze solo medals. Exhibited outstanding expertise in tackling intricate problems and crafting cutting-edge AI solutions Proficient in a range of programming languages, including Python, Java, and C++, with expertise in popular Al frameworks such as TensorFlow, and PyTorch. Strong understanding of data structures, algorithms, and software design patterns, with excellent problem-solving skills and attention to detail. Collaborative team player with excellent communication skills, able to work effectively with cross-functional teams to drive project success.

Have more than 5 years of experience in Data Scientist, Data Engineer, Data Analysis Strong at Product Management with a proven track record of managing all aspects of a successful product throughout its lifecycle Have 10 years of experience in software development Good communication in English and French Have the ability to learn new domain skills, be patient, careful and creative Have other skills such as teamwork, communication, understanding and solving problems

❖ With 7 years of experience in the field, I am a multifaceted professional who excels as an engineer, researcher, and educator. ❖ My engineering background includes hands-on involvement in various machine learning and AI projects across diverse domains, such as healthcare, defense, and fintech. ❖ As a researcher, I have a solid track record of publishing A/A* papers on cutting-edge topics, including Trustworthy Machine Learning and Generative AI, and I co-organize the Monash GenAI Reading Group to foster collaboration and knowledge sharing. ❖ In my role as an educator, I serve as the Head Teaching Associate at Monash and as a lecturer at VietAI, where I passionately engage students in the intricacies of ML/AI. ❖ I also contribute to the field through my ML/AI blog. ❖ Driven by a strong work ethic, I strive to balance these multiple roles while continuously seeking to enhance my productivity and impact.

❖ Versatile Skill Set: 12+ years in Machine Learning and NLP technologies. ❖ Experienced Leader: 4+ years leading impactful ML projects in insurance and e‑commerce. ❖ Team Building Experience: Built and mentored teams from recruitment to onboarding, providing coaching and mentorship. ❖ Innovation at Google: Lead team in the GEO Machine Learning Intelligence project at Google EU, using AI for Google Maps. ❖ Cross‑functional Collaboration: Managed cross‑functional AI teams, emphasizing communication and col‑ laboration. ❖ Cloud Experience: Expertise in AWS, Kubeflow, and Airflow for AI development and deployment. ❖ Research Excellence: Ph.D. in Machine Learning, recognized for work in Semi‑Supervised Learning. ❖ Continuous Learner: Certified in SAFe, with additional skills in PySpark, Data Warehousing, and healthcare data analysis.

- I am a passionate and experienced AI professional with a focus on Machine Learning and Computer Vision. I am dedicated to automating everyday tasks and bringing AI solutions to reality. - My primary research direction involves optimizing AI solutions for edge devices such as cameras and Al Boxes. I have extensive experience in developing AI/ML projects from scratch using Chainer and TensorFlow, overcoming challenges related to technology, research, computational hardware, and limited support from the development community and open-source projects. - I have a strong background in various algorithms, including CNN, RNN, Clustering, GAN, Tree-based algorithms, and XGBoost. - I have worked with various data types, such as image, speech, ECG signal, test case data, and time-series data and contributed to the development of various AI applications, such as image classification, object detection, air quality forecasting, object matching, speaker identification and diarization, and pix2pix image generation.