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Builds NLP models in Python to extract and reconcile financial data from documents using OCR, fuzzy matching, and LLMs, then deploys them as REST APIs on Azure.
Build and deploy AI models and cloud infrastructure for real-time data pipelines in energy and commodities sectors using TensorFlow, PyTorch, Python, and cloud APIs.
Build and deploy AI models and cloud infrastructure for energy/commodities trading clients using Python, TensorFlow, PyTorch, and DevOps practices.
Builds and maintains Android apps in Kotlin, integrating AI features and cross-platform frameworks like KMP/Flutter for Motorola Mobility devices.
Design AI training tasks, write ground-truth solutions in Python/R and SQL, and audit AI-generated code to improve model reasoning and precision.
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch, with cloud platforms (Azure/AWS/GCP) and MLOps practices.
Design and deploy enterprise-scale AI solutions using LLMs, RAG, and Agentic AI to improve reporting, forecasting, and business intelligence in a hybrid London role.
Design and implement advanced ML models to improve delivery and customer experience using Python, TensorFlow/PyTorch, and cloud platforms.
Build and maintain ETL/ELT pipelines and Snowflake data warehouse, using dbt and Python to enable self-service analytics for a fintech SME lender.
Build and maintain scalable data pipelines and AI-driven systems for an ethical ad-tech platform, integrating ML models into production while ensuring data quality and security.
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch across Azure, AWS, or GCP.
Builds and deploys Python-based AI/ML features, designs APIs, and mentors junior engineers using TensorFlow and Docker.
Design and build data pipelines, AI models, and generative-AI solutions to turn raw data into business insights and automated decisions for clients.
Build and deploy computer-vision models end-to-end, from research to production, using frameworks like PyTorch or TensorFlow.
Lead AI and data engineering teams to build scalable pipelines, ML models, and generative AI solutions that drive business decisions and digital transformation for clients.
Build and deploy AI/ML models and generative AI systems for government clients, focusing on scalable MLOps pipelines, cloud deployments, and integration with Army operations.
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Lead a team building AI-driven financial software using Java/Python, integrating LLMs and agentic workflows while ensuring secure, scalable production systems.
Build and deliver AI/ML systems using Python/Java, agentic frameworks (LangChain), and cloud tools to create scalable, secure production solutions for JPMorganChase’s AI initiatives.
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
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