Build retrieval-based solutions that allow AI applications to efficiently work with large codebases and engineering documentation, using techniques such as embeddings, vector search and hybrid retrieval
Make integration effortless: Create reusable frameworks, SDKs, and configuration patterns so new connectors and integrations can be built quickly and maintained reliably.
Assist with day-to-day tasks such as data analysis, operations support, and player customer service backup; specific scope adjusted flexibly based on team needs; Engage in cross-functional communication and collaboration to drive requirement delivery.
Drive large and complex customer engagements across pre-sales and delivery, from ideation and strategy through architecture design, scoping, execution, and successful delivery outcomes
Advanced Modeling: Apply dimensional modeling (Kimball/Inmon) to ensure data structures reflect actual business processes, making them intuitive for AI models and analysts alike.
Engagement Progress: Monitor engagement progress, follow up on outstanding information/review points, and coordinate with teams and clients to meet agreed completion deadlines.