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Senior Game Designer at Sports Interactive to lead feature design for the Football Manager franchise, defining systems and interfaces that deepen simulation quality and authenticity in Unity.
The CDO - Insider Risk Technical Analyst monitors and analyzes data loss events, implements security controls (e.g., Microsoft Purview, DLP tools), and collaborates with stakeholders to mitigate risks and automate workflows in a fintech cybersecurity team.
Build and deploy ML models for 3D geometry and multimodal AI in Autodesk’s design software, focusing on generative AI and computational geometry pipelines.
Lead co-design of production agentic AI systems with enterprise partners, building RAG, multi-agent, and LLM workflows on NVIDIA’s stack (NeMo, TensorRT-LLM) and shaping product roadmaps.
Designs and deploys Microsoft Agentic AI solutions, focusing on multi-agent systems and AI-powered apps using Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
Build and deploy AI/ML models for cybersecurity at scale, focusing on GenAI, LLMs, and agentic systems to enhance security operations and threat detection.
Build and deploy AI models for creative asset generation and analysis using LLMs, multi-modal AI, and RAG systems in a media/advertising agency.
Lead AI Engineer designs, builds, and scales enterprise-grade AI systems (including LLMs and generative AI) for regulated industries like healthcare and public sector, while mentoring teams and ensuring responsible AI governance.
Embeds with enterprise customers to prototype, deploy, and scale AI applications using Cloudera’s platform, focusing on generative AI, agentic systems, and enterprise-grade MLOps.
Designs and evaluates large language models (LLMs) and generative AI solutions, assessing technical feasibility, scalability, and integration risks for enterprise use cases.
Lead a team building secure, scalable document-management systems using React/Angular, Java/Python, and cloud tools, while integrating AI-assisted coding practices and ensuring responsible AI use.
Build and fine-tune large language models for healthcare using proprietary medical datasets, then deploy them into production workflows and agentic AI systems.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Lead the design and deployment of scalable GenAI and Agentic AI systems, focusing on LLMOps, MLOps, and cloud-native infrastructure for enterprise-grade applications.
Build and deploy GenAI and ML systems for natural language understanding, data extraction, and information retrieval at enterprise scale within S&P Global’s financial-intelligence products.
Designs and deploys AI solutions for local governments, focusing on computer vision, deep learning, and generative AI using NVIDIA’s software and hardware stack.
Build and operate a secure, scalable AI platform to deploy and manage LLM services across providers, ensuring high availability, cost efficiency, and enterprise-grade governance for legal-tech products.
Senior Data Scientist at S&P Global designing and building GenAI-driven and ML-powered products for natural language understanding, data extraction, and information retrieval solutions. Core technologies include large language models, Python, MLOps, and NLP architectures.
Lead R&D on large-scale generative AI and NLP models for Yahoo Mail, optimizing transformers, distillation, and evaluation frameworks to power personalized inbox experiences for hundreds of millions of users.
Build and deploy ML pipelines and LLM systems for EA Sports FC, optimizing models for edge devices like consoles and PCs to power in-game experiences.
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