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Build and deploy AI-powered Python full-stack applications, integrating LLMs, APIs, and MCP workflows to connect AI systems with customer platforms and data sources.
Build AI-powered features for a logistics platform using Python, LLMs, and cloud tools; develop smart assistants and agents that optimize ecommerce supply chains.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable cloud-native services and APIs for mass-affluent customers.
Build secure, scalable digital banking platforms using .NET Core, React/Next.js, AWS, and DevSecOps; lead architecture and mentor engineers while driving modernization and AI/GenAI adoption.
Builds production-grade AI applications (chatbots, RAG, agents) by refactoring prototypes into scalable, secure, and observable solutions using Azure AI services, full-stack tech (React/TypeScript, Python, .NET), and responsible AI patterns. Bridges business needs with engineering teams to accelerate AI adoption while ensuring governance, compliance, and maintainability.
Build and deploy production-grade agentic AI and LLM applications for APAC enterprises, including RAG pipelines, multi-agent systems, and ML services across cloud and air-gapped environments.
Build and scale AI-driven features for iGaming, including generative AI, voice AI, agentic systems, and RAG pipelines using Python, LLMs, and cloud infrastructure.
Build and deploy LLM-powered agents and RAG systems using Python, FastAPI, and vector databases; optimize token costs and model performance for scalable AI applications.
Build Python-based generative AI and agentic systems for a large bank, including FastAPI services, retrieval-augmented generation, and multi-agent orchestration.
Build and ship full-stack features and AI agents using TypeScript, Node.js, React, Next.js, and Postgres, with a focus on LLM integration and autonomous execution.
Lead architecture and build AI-powered backend systems for Salesforce’s public cloud platform, scaling distributed services for millions of users while ensuring security and backward compatibility.
Build and optimize AI systems for customer service automation using LLMs, prompt engineering, and RAG pipelines to improve interactions and efficiency.
Build cloud-native life-sciences apps with AI at their core, leading full-stack React/Django development, AI integrations, and DevOps on AWS/Azure/GCP.
Build and scale production-grade RAG systems for enterprise search and question answering using LLMs, vector databases, and retrieval pipelines.
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable APIs and event-driven systems for mass affluent and high-net-worth customers.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and deploy LLM-driven machine learning systems for enterprise clients, focusing on NLP, multi-step reasoning, and scalable AI solutions.
Build and deploy generative AI solutions (LLMs, agents, RAG) for enterprise clients using Python, LangChain, and cloud AI services like Azure OpenAI.
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