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Founding Data Scientist - Lending FinTech
Build and deploy credit risk models for a salary-linked lending fintech, using Open Banking and ML to shape underwriting decisions and lending strategy.
Senior Lead Product Manager, Enterprise Predictive AI Platform
Lead the product strategy for Wells Fargo’s enterprise AI platform, guiding model development, deployment, and governance to deliver secure, scalable predictive AI solutions across the bank.
AI Tech Architect
Design and build cloud-native AI infrastructure, MLOps pipelines, and multi-modal feature platforms for fintech clients, leveraging AWS, GCP, Azure, and AliCloud.
Data Scientist (AI & Machine Learning)
Build and deploy AI/ML models (forecasting, CV, NLP) end-to-end, from problem definition to production, using Python, TensorFlow/PyTorch, and MLOps tooling.
Senior Data Scientist
Senior Data Scientist builds ML/NLP models and LLM/RAG systems to extract insights from Medicaid claims and policy data, improving program oversight and health outcomes.
Tech Lead Data Engineer
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
Senior Data Science Engineer / Senior Machine Learning Engineer (Applied Insights)
Senior Data Science Engineer or Senior Machine Learning Engineer at PayPay builds and deploys ML models for fraud detection, recommendations, and insights, using Python, SQL, and cloud tools in a hybrid Tokyo office.
AWS Cloud Engineer
Designs, deploys, and secures AWS GovCloud environments with Zero Trust principles, automating infrastructure via CDK and Lambda while integrating AI/ML services like SageMaker.
Associate Lead Data Scientist
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Technical Architect – Data & AI
Design and lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Data Scientist – Enterprise AI Solutions
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
GenAI-Driven Cloud Data Engineer (AWS)
Designs AWS-based data pipelines, deploys GenAI models on SageMaker, and builds dashboards to extract business insights.
Data Scientist – Enterprise AI Solutions
Build and deploy AI/ML models, RAG pipelines, and generative solutions using Python and enterprise platforms to deliver predictive analytics and business insights.
AI & Cloud Data Engineer (PySpark + GenAI)
Build and optimize cloud data pipelines with PySpark and AWS Glue, deploy ML models on SageMaker, and integrate Generative AI tools to turn raw data into actionable insights.
AI DevOps Engineer (MLOps & Cloud)
Build and maintain cloud infrastructure and CI/CD pipelines for AI/ML systems, automate deployments, and ensure scalable, secure, and observable production environments.
Computer Vision Engineer, Healthcare AI
Build and deploy computer-vision models for early detection of eye diseases using TensorFlow/PyTorch on AWS, focusing on segmentation, detection, and explainable AI for global healthcare impact.
Amazon Sr. Streaming Specialist Solutions Architect, WWSO Data & AI GTM
Design and deploy scalable cloud analytics architectures for AWS customers using streaming services like MSK, Kinesis, and Flink, and guide migrations to AWS data solutions.
MLOps / Gen AI Engineer
Build and maintain MLOps and GenAI pipelines on AWS SageMaker and Bedrock, provisioning cloud infrastructure with Terraform and ensuring production-grade monitoring and observability for AI models and agents.
Accolite Digital-Senior Full Stack Developer (Python + react)
Build and maintain full-stack Python (FastAPI/Flask/Django) and React apps with MongoDB, AWS, and Terraform, owning end-to-end delivery of scalable cloud-native features.
Architect – AI & Data Science
Lead the design and implementation of scalable AI and data science solutions for banking, integrating ML platforms, MLOps, and responsible AI practices.