Full Stack Data Science | AWS Machine Learning certified | Machine Learning (ML) | Deep Learning (DL) | Natural Language Processing (NLP) | Large Language Models (LLM) | Social Network Analysis / Graph Learning (User Profiling, Knowledge Bases, Link Prediction) | Data Engineering (building Scalable Data Pipelines) | Software Development | Generative AI | MLOpsA Computer Science Engineer turned Data Scientist with over 8 years of professional experience in Full Stack Data Science & Applied Research. Am passionate to create value for businesses through insights and enabling AI for scalable software products & services. Cultivated extensive experience in delivering excellence for high impact projects across public and private sectors on problems with broad spectrum of use cases in Human Resources, Education and Healthcare Industries. Have been privelleged to closely associate with the best talents across disciplines and geography. At present, am a Research Engineer at Living Analytics Research Centre Singapore (in collaboration with Carnegie Mellon University) working on the intersection of Data Science, ML and Social Computing for Singapore's Smart Nation Analytics initiatives in the Job, Skill and Career Intelligence space, extracting knowledge from large scale unstructured data.I solve problems end-to-end from Data Acquisition, Data Analysis, Problem Formulation, Feature Engineering, Data Modelling, Model Training for ML applications, Model compression and quantization, Deployment and Monitoring (MLOps) on both private GPU powered server infrastructure and Public Clouds (AWS, Google Cloud). Have been constantly provided with the opportunity to hone Applied Research Skills contributing to 6 publications in top-tier Data Science conferences / journals such as SIGIR, ICDM etc. Am also involved in Commercialization of the developed technology as IP. In my earlier job role, been a Lead Research Engineer in the National Science Experiment (Singapore) to build large scale Data Driven Education platform in collaboration with a multi disciplinary team from academia, industry and public policy (Principal Investigators trained from top institutes such as MIT, ETH Zurich ). I was involved in development of Software for Data Collection and Analytics on both edge devices (IoT device with M4 cortex chip) and microservices on public cloud (AWS)I hold a Master of Science in Electrical Engineering from the National University of Singapore, NUS (specialising in Computer Engineering with a focus on Distributed Systems and Neural Networks)