• Analyzed the integration of online and offline channels within healthcare services to improve effectiveness.• Investigated how patient feedback influences physician performance through online service reviews.• Designed and implemented analytical frameworks to evaluate the impact of patient feedback on physician behavior.• Collected, processed, and mined data from online healthcare platforms to generate actionable insights.• Developed a Latent Dirichlet Allocation (LDA) topic modeling system to categorize online reviews into distinct themes.• Fine-tuned Large Language Models (LLMs) to differentiate between informational and emotional content in physician follow-up communications.• Created a Causal Forest system to assess the effect of independent variables on physician demand in both online and offline contexts.

- AI Engineer: + Utilize Large Language Models (LLMs) using data in English and Vietnamese collected from diverse sources, including published data, local reports, peer-reviewed literature, and field studies of water-related problems to build an AI-powered chatbot which can answer any questions about water-related issues, especially salinity intrusion. + The solution is featured on Forbes. + It also won Grand Challenges grant – an initiative fostering innovation to solve pressing global health and development problems funded by the Bill & Melinda Gates Foundation.- AI Engineer of ExtendMe.AI (https://extendme.ai/):+ Created a revolutionary no-code platform that empowers individuals to create AI extensions of themselves.+ Developed and implemented complex data pipelines, optimizing efficiency for various file formats (e.g., PDF, TXT, Excel, JSON, SQL databases, etc.).+ Designed and implemented an advanced LLMs-based RAG architecture, facilitating document uploads and empowering AI extensions to extract relevant information from these documents for dynamic user interactions and accurate responses to user queries.+ Designed and developed multi-tools agents to enhance AI extension capabilities, providing users with a versatile suite of tools for customization.- Blockchain Engineer of Sprynt (https://www.sprynt.io/):+ Develop smart contracts and web3 server for cross-chain solutions, including:* Proposed an architecture to mint and sell NFTs across blockchains. These NFTs are seamlessly viewable on different networks simultaneously.* Established a robust infrastructure that allows the acceptance of funds from various EVM and non-EVM blockchains without the need for bridging funds.* Developed fully customizable contracts for reveals, auctions, whitelists, and other industry standards.* Developed smart contracts for recurring on-chain subscriptions monitoring.+ Attract over +1000 enthusiastic applications to the Closed Beta version.

- Conducted thorough literature reviews and in-depth studies on cutting-edge algorithms.- Led a team in strategic planning, product development, and progress reporting, emphasizing precise research question formulation and rigorous experimentation.- Authored 9 publications, showcasing advanced research methodologies and strong writing skills.- Presented findings to varied audiences, demonstrating effective communication skills.- Research Projects:+ Chest X-Rays Abnormalities Localization and Classification Using an Ensemble Framework of Deep Convolutional Neural Networks: Spearheaded the design and implementation of an ensemble framework leveraging deep convolutional neural networks to localize and classify abnormalities in chest X-rays. Achieved improved accuracy and robustness in diagnostic outcomes.+ Machine Learning-Based Application for Para-Clinical Diagnosis: Led a multidisciplinary team in developing a machine learning-based application for para-clinical diagnosis.+ Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images: Proposed and executed innovative research automating malaria detection in peripheral blood smear images using advanced deep learning methodologies.+ Utilizing Blockchain and Cryptography Techniques for EHR Storage: Explored applications of private blockchain and cryptography for secure EHR storage, developed a robust framework with a strong emphasis on data integrity and confidentiality.

• Developed an innovative deep learning-based system for automated resume screening. * Utilized advanced data scraping techniques to gather relevant information from diverse sources. * Applied data visualization to present insights effectively, conducting comprehensive analysis to refine deep learning models and inform strategic decisions. * Led end-to-end responsibilities in training and evaluating deep learning models. * Authored papers detailing proposed approaches and findings, contributing to the company’s intellectualproperty. * Collaborated effectively with cross-functional teams, actively participating in brainstorming sessions andproviding valuable insights to solve complex challenges.• Selected to receive an award for outstanding performance.