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Lead data engineering and analytics for fraud risk at a major African bank, building scalable platforms, ML models, and real-time detection systems to prevent financial crime.
Design and build scalable Python/FastAPI services and big-data pipelines using MongoDB and Apache Spark for Avnet’s digital transformation and AI/LLM integrations.
Build and optimize scalable financial software using Java, Spring Boot, and big-data tools like Spark and Hadoop to process large datasets for banking systems.
Build, deploy, and monitor ML models end-to-end using Python, scikit-learn, and cloud platforms to drive business impact in insurance and financial services.
Design and build custom applications using Databricks Unified Data Analytics Platform, focusing on data integration, transformation, and cloud-based workflows.
Develop, test, and maintain Hadoop-based big-data components for multiple client projects, optimizing distributed data workflows and collaborating across teams.
Design and build big-data applications using PySpark, leading integration and troubleshooting while coordinating with stakeholders.
Lead AI/ML projects for enterprise clients, designing and deploying custom deep learning and generative AI models with MLOps/LLMOps pipelines in cloud environments.
Design and build end-to-end ETL pipelines and data models for supply-chain planning, integrating ERP, IoT, and logistics feeds using Python, Spark, Kafka, and cloud platforms.
Lead a team building and scaling machine-learning systems in Python and AWS to deliver hyper-personalized marketing messages across channels, while ensuring model governance and responsible-AI practices.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and scale distributed systems that process billions of events to orchestrate customer lifecycle features for Amazon Prime globally.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
Build AI-driven geospatial models to predict ore-grade mineralization and guide mineral exploration, integrating geoscience data and uncertainty quantification.
Build AI-driven geoscience models to predict ore-grade mineralization using Python, Bayesian inference, and geospatial data, guiding exploration programs worldwide.
Build and maintain a large-scale, 24-hour automated trading system and research framework in Java, collaborating with research, systems, and operations teams.
Build and scale Colab, Google’s premier notebook platform, driving architecture, reliability, and engineering excellence while mentoring teams and collaborating with product and UX partners.
Build and maintain YouTube’s large-scale infrastructure and distributed systems using C++ to support billions of users.
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