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Build and maintain web apps and APIs for a digital asset platform, integrating crypto exchanges, banking rails, and AI coding assistants while learning to apply LLM features.
Build full-stack web apps and AI-enabled solutions for airport operations and passenger experience using React, AWS, and generative AI tools.
Build and deploy full-stack cloud-native apps using Node.js, React, and AWS services; implement GenAI features with RAG via AWS Bedrock.
Build and maintain SGInnovate’s Deep Tech Central platform using full-stack skills (Next.js, NestJS, PHP, Drupal) and integrate AI features with AWS Lambda, vector databases, and LLM APIs.
Build full-stack web apps and AI-enabled solutions for airport operations and passenger experience using Python/JavaScript, React, and AWS cloud services.
Build and deploy generative-AI agents and copilots for enterprise clients, bridging business needs with technical implementation using platforms like Copilot Studio and RAG.
Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
Build AI-driven automation solutions using Python, Azure, and AI agents to streamline business processes and integrate systems.
Develops production-grade GenAI systems (agent frameworks, RAG pipelines) and integrates LLM models with enterprise systems and Azure cloud, focusing on backend Python, API design, and CI/CD.
Build next-gen AI systems using LangGraph and GraphRAG to enable natural-language queries and insights from distributed data, with Python and AWS.
Builds AI-powered agents and copilots to embed into Flock Freight’s operational workflows, improving decision-making, automating tasks, and driving measurable business impact by collaborating directly with business teams.
Builds and maintains AI-enabled apps, agents, and workflow automations for healthcare workflows, integrating LLMs, RAG systems, and enterprise tools to improve efficiency and knowledge reuse.
Build and deploy generative AI features (LLMs, RAG) and traditional ML models, owning the full lifecycle from data pipelines to production deployment.
Build production-grade AI agents and retrieval systems using Microsoft Foundry, Azure AI Search, and MCP for enterprise clients in the Middle East and Africa.
Build and deploy AI solutions for enterprise customers, including predictive models, GenAI chatbots, and agentic AI systems using Python, LangGraph, and Kubernetes.
Build production-grade AI systems like copilots, RAG, and agents using LLMs and vector databases, deploying them in enterprise environments.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Lead the design and deployment of generative AI systems, including LLM integrations and RAG architectures, while setting engineering standards and mentoring teams.
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
Build and deploy AI systems for a Saudi real-estate platform: integrate LLMs, design RAG pipelines, and ship production-ready analytics tools for commercial, retail, and residential portfolios.
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