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Build production agentic AI systems for financial workflows using LLMs, orchestration, and RAG pipelines in Python/Go/TypeScript on AWS/GCP.
Principal engineer optimizing large-language-model inference at a major bank, designing quantization, speculative decoding, and benchmarking strategies to cut cost and latency for production AI workloads.
Designs, builds, and deploys production-grade AI systems (LLMs, RAG, agents) for Westpac’s banking platform, ensuring scalability, governance, and enterprise reliability while mentoring teams and setting AI engineering standards.
Full-stack R&D engineer building end-to-end web applications with React/Vue frontends and Python/Node.js/Java backends on AWS, integrating AI/ML capabilities like LLM APIs into production systems at Keysight Technologies in Singapore.
Design, build, deploy, and optimise AI/ML solutions for global clients as a Forward Deployed AI Engineer at a top-tier consultancy, working with Python, cloud platforms (AWS/Azure/GCP), and MLOps workflows with 50% travel across APAC.
Supports senior developers in coding, testing, and debugging software programs at Marsh, a global insurance and risk advisory firm, while providing internal technical support and monitoring system performance.
Design and deploy AI-native software products that transform geospatial data into actionable intelligence, using LLMs, multi-agent orchestration frameworks (LangChain, LangGraph, Google ADK), and cloud infrastructure on GCP/AWS.
Design, develop, and support enterprise AI and analytics solutions on the Palantir Foundry platform using SQL and Python for Daimler Truck Financial Services in Charlotte, NC.
Design, build, and maintain AI agents and Copilot experiences using Microsoft Copilot Studio to automate and optimize enterprise business workflows, integrating with Microsoft 365, Azure, and Power Platform.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
Build AI-powered applications, agents, and workflow automations using LLMs, Python/JavaScript, and platforms like Make, Zapier, and n8n, taking use cases from idea to production in a remote role during U.S. business hours.
Build high-performance C++ SDKs for computer vision, deploy and optimize ML models across diverse hardware (Qualcomm SoCs, Intel CPUs, NVIDIA GPUs), and maintain Python-based CI/CD automation pipelines at Zebra Technologies in London.
Leads AI architecture and development of GenAI systems (LLMs, multi-agent workflows, retrieval-augmented solutions), mentors cross-functional teams, and ensures scalable, production-grade AI applications while managing administrative responsibilities for a team of associates.
Design and develop Agentic AI solutions (multi-agent systems, RAG pipelines, LLM integrations) for Citi's Funds Transfer Pricing and Financial Hedging platforms using Python, SQL, and frameworks like LangChain and LangGraph.
Designs and deploys production-grade generative AI systems (LLMs, agentic frameworks) at a global financial institution, focusing on automation, workflow optimization, and enterprise-scale AI integration using Python and OpenShift.
Design and develop Agentic AI solutions for Citi's Funds Transfer Pricing and Financial Hedging platforms, building multi-agent systems with LLMs, RAG architectures, and vector databases using Python, SQL, and frameworks like LangChain and LangGraph.
Leads AI/data science teams to design, build, and deploy AI-driven solutions (e.g., LLMs, RAG) for PwC’s Advisory clients, blending technical leadership with business strategy to extract insights from data and drive decision-making.
Senior AI Engineer at PwC’s Manila Acceleration Center develops AI-driven data solutions, leveraging Python, cloud platforms, and ML frameworks to transform client data into actionable insights and strategic business decisions.
Designs and implements GenAI and ML systems using Python to transform client data into actionable insights, optimizing business processes and decision-making.
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