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Build and scale Python backend services, APIs, and LLM agent frameworks while integrating external systems and improving observability for AI-driven applications.
Build and maintain secure GCP cloud infrastructure and GenAI pipelines for a financial-services client using IaC, CI/CD, containers, and observability tools.
Designs and maintains CI/CD pipelines, automates infrastructure with Ansible/Terraform, and integrates GenAI practices for DevSecOps compliance.
Develops backend services and multi-device applications for a GenAI platform, collaborating across teams while maintaining security standards.
Build and scale Python backend services for generative AI agents using LangChain/LangGraph, integrating LLMs and vector databases to power insurance and digital customer-service applications.
Designs and builds systems for training and evaluating large language models while collaborating with researchers to advance foundational AI.
Design and maintain data systems and pipelines to support AI operations using Python, SQL, and cloud platforms like AWS.
Design and build AI-driven software solutions for Barclays, focusing on scalable, secure systems while collaborating with cross-functional teams to align with business goals.
Build and ship AI features into existing C# .NET ERP products, integrating LLMs via prompt design, RAG, and evaluation pipelines while ensuring production-grade reliability and accuracy.
Design and build scalable data pipelines and AI architectures for a regulated financial advisory firm, enabling analytics and decision-making with modern cloud tools.
Build and maintain scalable AI-driven software solutions while collaborating with cross-functional teams to deliver reliable applications and technical documentation.
Builds scalable data pipelines and AI-driven tools using Python, Databricks, and AWS to support finance operations and automation.
Design and build data pipelines, AI models, and generative-AI solutions to turn raw data into business insights and automated decisions for clients.
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 maintain Python-based APIs and data infrastructure that power energy-market analytics and an LLM-driven AI Analyst, using AWS, Terraform, and streaming systems.
Senior Python developer building and scaling microservices in a hybrid role, focusing on backend systems, cloud infrastructure, and data-driven solutions.
Lead a team building LLM-powered test automation agents, designing workflows, and integrating them with CI/CD pipelines for UI/API testing and self-healing automation.
Build and deploy AI agents and automation workflows in Python using frameworks like LangChain and OpenAI Agents SDK to streamline healthcare operations while ensuring HIPAA compliance.
Research and develop AI systems, including LLMs and agentic AI, to build trustworthy banking solutions at Capital One.
Lead AI engineer at Capital One customizing and fine-tuning large language models to build responsible, reliable AI systems for banking and customer experiences.
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