Kamal Kumar

Enterprise data intelligence platform built at Tesla. Databricks-like lakehouse architecture running Apache Spark on Kubernetes with integrated secret management, RBAC, and data governance. Powers security analytics, threat detection pipelines, and centralized security data lake across the organization.

Enterprise-grade, self-service AI helpdesk platform built at Tesla. Organizations configure their own integrations (email, Slack, ticketing systems) and plug in knowledge sources (Confluence, SharePoint, policy docs, mailboxes). The platform ingests, indexes, and learns from these sources using LLMs to autopilot tier-1 support — auto-classifying tickets, drafting contextual responses, and escalating intelligently. Designed as a multi-tenant platform with admin console for managing integrations, knowledge pipelines, and response tuning.

Enterprise IT and OT security posture management platform built at Tesla. Provides 24/7 continuous monitoring across cloud (AWS, Azure), on-premises IT infrastructure, and operational technology (OT) environments. Automated policy evaluation, drift detection, and one-click remediation. Unified compliance tracking against CIS benchmarks, SOC 2, NIST, and internal security standards — giving leadership a single pane of glass into the organization's security posture.

Enterprise AI agents platform built at Tesla, powered by Graph RAG architecture. Constructs knowledge graphs from security data lake, vulnerability scans, asset inventories, and remediation playbooks — capturing entity relationships (services → vulnerabilities → owners → remediation steps) for richer, context-aware retrieval. Autonomous agents traverse the graph to reason over multi-hop queries, auto-triage security findings, generate fix recommendations, and orchestrate remediation workflows. Enables application teams to resolve security issues through natural language — shifting security left at developer speed.