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Builds and deploys production-grade AI systems—including multi-agent workflows and copilots—using Microsoft AI tools to automate decisions and improve efficiency in business operations.
Build and deploy enterprise-grade AI applications using LLMs, RAG, and intelligent agents with full-stack development in React, Python, and FastAPI.
Lead the design and delivery of full-stack applications with embedded AI features, guiding teams to build scalable, secure solutions while integrating generative AI, LLMs and vector databases.
Build and ship full-stack features in TypeScript/React with AWS cloud services for a real-time AI platform that helps sales teams during customer interactions.
Senior Full Stack Engineer building cloud-native financial crime prevention systems using Java/Spring, React, Kafka, and Kubernetes, with a focus on AI-driven fraud detection and regulatory compliance.
Senior AI engineer builds and scales Retrieval-Augmented Generation systems using Python, LangChain, and AWS AI services, while implementing MLOps practices for production ML.
Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Senior Data Scientist building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Design, build, and deploy AI agents and RAG systems using Azure OpenAI, LangChain, and Python/TypeScript, while ensuring security, governance, and responsible-AI compliance in a regulated government environment.
Designs and leads the end-to-end architecture for a GenAI underwriting transformation, integrating LLMs, RAG, and cloud services to build production-ready AI solutions for insurance workflows.
Design and deploy LLM-driven agentic AI systems for enterprises, focusing on multi-step reasoning and safe scaling while mentoring teams.
Design and deploy autonomous AI agents on GCP’s Vertex AI, using Gemini models, RAG, and agentic frameworks to automate enterprise workflows.
Lead the design and deployment of agentic AI systems, including LLM-driven agents with planning, tool-use, and multi-step reasoning for enterprise workflows.
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
Build and validate AI prototypes for enterprise clients, focusing on generative AI and agentic systems to solve business challenges through rapid experimentation.
Design and deploy AI agents and copilots to automate Roku TV workflows, integrating LLM orchestration, RAG, and multi-agent systems with Python and cloud tools.
Build and validate AI prototypes (summarisation, forecasting) using LLMs and Agentic AI for enterprise clients, assessing feasibility and ROI before full-scale deployment.
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