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Build full-stack AI systems, including backend services, APIs, and frontend components, to power agentic frameworks and prototypes using frontier model APIs and Snowflake data infrastructure.
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Build and deploy AI-powered applications using Python, LLMs, and vector databases. Design scalable GenAI systems with cloud-native tools and enterprise integration patterns.
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Builds and polishes React/Next.js interfaces for an AI-platform that embeds virtual workers into business workflows, with full-stack ownership of features using TypeScript, Node.js, and PostgreSQL.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Design and maintain cloud backend APIs and infrastructure for a Bitcoin mining and AI cloud platform using Java, Go, Node.js, Python, and Kubernetes.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js/Python/.NET, SQL/NoSQL) while leveraging AI coding assistants daily.
Build full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
Lead a team building AI-powered SaaS features for commercial real-estate tools, designing LLM agents, RAG pipelines, and MCP integrations in a Node.js/Python stack.
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.
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