Summary
Shubham Goel is an AI and machine learning leader with 12 years of experience building customer-facing, high‑scale AI products that grew user bases from zero to double‑digit millions and created eight‑figure revenue streams. He has led GenAI, search, recommendation, speech, vision and conversational AI efforts at companies including Dropbox, Autodesk, LULA and now Atlassian, combining research-grade methods (LLMs, RLHF, RAG, graph ML) with production systems and MLOps at cloud scale. At LULA he shipped low‑latency speech‑to‑speech agents handling millions of calls per month and owned proprietary LLM and speech evaluation stacks; at Autodesk he translated ML proofs‑of‑concept into products used by 44 of the top 50 US contractors. Comfortable spanning strategy, engineering and cross‑functional execution, he pairs hands‑on Python/PyTorch development with infrastructure know‑how (Kubernetes, Vertex, SageMaker, feature stores) to move models from prototype to reliable run‑rate. A founder at heart with early startup and consultancy roots, he also brings unusual domain breadth—from construction and enterprise search to voice AI—plus patents and public speaking that reflect a track record of turning hard research into practical customer value.
12 years of coding experience
12 years of employment as a software developer
Master of Information Management and Systems, Master of Information Management and Systems at University of California, Berkeley
Indian Institute of Technology Kanpur
Management Essentials, Management Essentials at Harvard Business School Online