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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 maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
Build end-to-end web apps with .NET Core back-end and Vue/React/Angular front-end, deploy AI features to production, and lead cloud-native projects on Azure or AWS.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Build AI-powered data platform tools (React UIs, Python APIs, vector stores) that let users explore and query financial data in natural language while ensuring security and correctness in a regulated environment.
Build and deploy AI-powered coding agents and agentic frameworks using Python, TypeScript, and React; own cloud deployments, CI/CD, and quality assurance for AI-generated code.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Design and operate PostgreSQL clusters and vector search systems to power Kraken’s crypto exchange and AI features, focusing on performance, reliability, and automation.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Build and maintain a Java/Spring Boot backend for an enterprise marketing supply chain platform, integrating AI via Amazon Bedrock and optimizing PostgreSQL with pgvector.
Build and maintain Java/Spring Boot backend services for an enterprise marketing supply chain platform, integrating AI via Amazon Bedrock and optimizing PostgreSQL with pgvector.
Builds automated scrapers and an AI-powered match engine to extract IT hardware inventory from auction sites and pair it with incoming RFQs using Python, Playwright/Selenium, and PostgreSQL/MongoDB.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Build end-to-end AI applications using Python (FastAPI), React, and LLM workflows; integrate with customer systems and deploy on GCP.
Build production-grade agentic AI systems that analyze workplace data (surveys, reviews, goals) to power HR features like feedback and performance insights using Python, React, and graph/RAG techniques.
Design and lead enterprise AI solutions for Australian clients, building secure LLM/RAG architectures and rapid PoCs while mentoring AI engineers.
Build AI-powered web apps with React/Next.js and Python backends, integrating LLMs and RAG pipelines to automate design workflows and business operations.
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