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Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Builds and scales Python/FastAPI backend services that integrate LLMs, RAG pipelines, and vector databases for an AI-driven healthcare market-research platform.
Build and deploy AI-powered Python full-stack apps and integrations for customers, using FastAPI/React, MCP, LLM APIs, and cloud services.
Build AI-powered recruiting tools using Java, Spring Boot, and Oracle tech stack; design APIs, microservices, and GenAI features for talent acquisition.
Build and refactor full-stack systems for a fintech company, integrating AI APIs into customer support and shipping responsive Next.js/React interfaces with TypeScript.
Leads full-stack development with Node.js/React, Supabase, and AWS while owning CI/CD, AI-driven workflows, and mentoring engineers.
Build and lead a full-stack system using Node.js (NestJS/Express), React, Supabase, and AWS, while integrating AI tools for coding, testing, and automation in an edtech environment.
Builds and maintains .NET web/desktop apps and integrates AI features like chatbots and document processing using C#, ASP.NET, and Azure AI/OpenAI APIs.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy production-grade Generative AI services in Python, integrating LLMs, agents, and vector databases to power personalised travel experiences and internal tools at Air New Zealand.
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse to deliver insights that guide business decisions using PySpark, SQL, and Terraform.
Build Palette’s AI-native signal engine: ingest team tool data, model it as a queryable graph, and power shared context for both humans and agents using LLMs and vector search.
Build and scale an AI-powered edtech platform using TypeScript, Vue 3, and modern cloud tools; either focus on polished frontend UX or design robust AI pipelines and backend services.
Build and scale Alice’s AI-powered edtech platform, either as a frontend-focused full-stack engineer or an AI/backend specialist integrating LLMs, vector DBs, and orchestration pipelines in TypeScript.
Build and scale an AI-powered edtech platform using TypeScript/Vue 3 on the frontend and Node.js/tRPC backend, with LLM pipelines and agentic workflows.
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Designs and builds AI platform infrastructure, including LLMs, MLOps pipelines, and orchestration services to support AI product delivery in Cyberjaya.
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
Build and deploy enterprise AI systems like RAG pipelines and AI assistants using Python, LLMs, and vector databases; optimize performance and integrate APIs for production environments.
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