Lead AI Engineer, Core AI Innovation Team
KEARNEY (FORMERLY A.T. KEARNEY CONSULTING)
Gurugram, India
03/2023 - Present
- Architected an Agents-as-a-Service platform so teams could query structured and unstructured knowledge for supplier discovery, peer benchmarking, and market intelligence.
- Scaled search across 1.5M+ suppliers and 200+ peer companies with dockerized workers on Azure serverless compute and centralized PostgreSQL telemetry state.
- Implemented Agentic RAG over the Databricks lake using tree-search retrieval to improve extraction quality from sparse supplier and procurement records.
- Designed orchestrator plus specialist sub-agent execution for parallel low-latency runs, supporting 50+ daily active users across 10+ internal projects.
- Built and scaled AI Workflows-as-a-Service so project teams could run repeatable AI pipelines for data cleanup and procurement insights.
- Enabled procurement teams to build high-fidelity spend visibility in hours across multi-year spend data from 10,000+ suppliers.
- Built event-driven execution with capacity-aware Databricks scheduling, low-latency job state updates, and deterministic plus LLM-as-judge quality checks.
- Delivered spend categorization and supplier/SKU harmonization pipelines used across telecom, retail, machinery, logistics, and banking sectors.
- Drove roughly 8x throughput and about 90% faster turnaround on core procurement deliverables across platform-enabled engagements.
- Prototyped a multimodal operational agent for a USD 200B+ retailer and shaped client-facing AI value narratives tied to process redesign.
- Defined product vision, led biweekly demos for Partners/CXOs, authored decision memos and roadmaps, and mentored junior engineers.