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Builds agent-based AI software using foundation models and modern engineering practices to create intelligent, autonomous systems.
Own end-to-end AI products from discovery to production, shipping scalable systems that turn Mercer’s expertise into client-facing tools while balancing speed and quality.
Build and optimize AI applications using LLMs, RAG, and agent frameworks on a central AI platform, integrating them into production for logistics use cases.
Build and ship full-stack features in C#/.NET and modern JavaScript, integrating AI tooling into established business-critical SaaS products.
Full-stack engineer building React front ends and C#/.NET APIs with SQL Server/Postgres, integrating LLMs into live products like garage management and rental systems.
Build and deploy Generative AI applications using Python, React, and AWS for a large financial services firm in London.
Build and deploy AI-powered features for an automotive finance SaaS platform, integrating LLMs and cloud AI services into production applications.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Research and develop multilingual large language models from scratch, including data curation, model architecture, and distributed training on GPU clusters.
Build and deploy enterprise AI solutions like LLM-powered agents and RAG systems to automate workflows and improve productivity in a renewable-energy company.
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Build and deploy AI agents and copilots that automate construction workflows, integrating predictive models and generative AI into tools used by project managers and superintendents.
Build agentic AI systems to automate simulation, evaluation, and performance analysis for NVIDIA’s LPU and GPU platforms, focusing on emerging AI workloads like reasoning models and coding agents.
Build and scale the Agentforce Reasoning Engine, a Python/FastAPI service that orchestrates multi-agent workflows and integrates with LLM backends to power intelligent agent reasoning at scale.
Build and integrate AI capabilities into enterprise tools, developing APIs and automating workflows using Python and TypeScript for Trimble’s digital transformation.
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Build and deploy enterprise GenAI tools and autonomous agent workflows to automate business processes across departments at Samsung Ads, using AWS Bedrock, Claude, and RAG pipelines.
Designs and builds AI systems and data pipelines to automate university operations, focusing on LLM integration, ML model deployment, and enterprise system integration using Python, TensorFlow/PyTorch, and cloud services.
Build production-grade AI agents using LLMs, RAG, and orchestration frameworks, integrating them into Workday’s platform for enterprise-scale deployment.
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