Teams at Quantiphi

Design and deliver enterprise-grade generative AI solutions on AWS using Bedrock, AgentCore, SageMaker, LLMs, RAG pipelines, vector databases, and agentic workflows. Build scalable APIs and integrations, optimize prompts and models, evaluate performance, and implement security and governance. Collaborate with application, data, and platform teams, troubleshoot production systems, define best practices, and mentor engineers while remaining hands-on.

Design, implement, and support secure, scalable Azure platform solutions. Lead cloud migration and legacy application modernization, including containerization on AKS. Build Terraform-based infrastructure and GitHub Actions CI/CD pipelines, manage Azure services, networking, identity, databases, monitoring, and production support. Troubleshoot incidents, perform root cause analysis, document architectures and runbooks, collaborate across technical teams, and mentor junior engineers.

Audits data pipelines, optimization outputs, and promotional recommendations for anomalies, data drift, integrity issues, and commercial feasibility. Performs root-cause analysis, scenario modeling, and pre- and post-event evaluations of promotional ROI, cannibalization, halo effects, and trade-spend efficiency. Collaborates with engineering, data science, optimization, UI/UX, and client teams to improve data feeds, model logic, and RGM tool adoption.