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Partner with ISVs, strategic tech firms, and hyperscalers to co-innovate AI-driven integrations on the ServiceNow platform, guiding architecture, certification, and joint GTM for enterprise workflows.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Build and run a production-grade agentic platform on Kubernetes using Go and Python, integrating AI agents with enterprise tools, memory, and security layers.
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Build and lead Gen AI products using Python, React, and AWS, designing LLM pipelines, Agentic AI, and RAG systems while collaborating with cross-functional teams.
Build and scale multi-agent LLM systems and pipelines to power conversational user experiences across devices, using AWS Bedrock, vector search, and Kubernetes.
Design and implement AI-enabled, cloud-native architectures for enterprise clients, focusing on RAG, agentic AI, and cloud modernization using Azure/GCP.
Design and build GenAI and agentic AI solutions—like conversational AI and RAG systems—on Databricks and AWS to improve wealth-management workflows and decision-making.
Build and maintain scalable AI platforms on Kubernetes, wrapping managed AI services behind secure APIs with strict compliance and auditability for a global insurer.
Build and maintain secure, scalable APIs on Kubernetes that wrap AI services (Databricks, Azure OpenAI, AWS Bedrock) for regulated insurance use cases, enforcing compliance, auditability, and real-time streaming outputs.
Lead the modernization and security of Compare Club’s AWS cloud platform, migrating legacy systems to Terraform-managed ECS/Fargate, automating operations with Python/Bash, and embedding AI-driven incident response under ISO 27001 and PCI DSS.
Designs, builds, and deploys production-grade AI agents, copilots, and intelligent automations to transform business processes using enterprise AI platforms and low-code/no-code tools.
Build and operate HERE’s enterprise AI Hub: shared runtime, CI/CD, model registry, and observability for scalable, secure AI deployments and intelligent agents.
Builds cloud-native, full-stack products (React/Node.js/PostgreSQL) for a venture-funded startup focused on real estate automation, integrating generative AI (LLMs, vector DBs) and DevOps pipelines to streamline strata management workflows.
Builds AWS serverless backend services (Lambda, API Gateway, Bedrock/Q) and integrations for a supply-chain platform using C#, Node.js, and DevOps pipelines.
Lead a team designing and delivering AWS-based cloud solutions, including Amazon Connect migrations and AI-enabled contact center features, while mentoring junior consultants.
Build and scale AWS-based MLOps and cloud-native infrastructure for production AI systems, including CI/CD, Kubernetes, and AI agent deployments.
Build and deploy enterprise-grade AI agents and multi-agent systems using Python, LangChain/LangGraph, and RAG architectures for scalable copilots and automation.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
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