DARSHAN S MAHENDRAKAR
Senior Technical Product Leader & AI Strategist — building enterprise GenAI platforms that scale to petabytes, serving thousands daily.
Building AI
Platforms That
Actually Scale
I'm a Senior Technical Product Leader & AI Strategist with 12+ years at the intersection of enterprise software, data engineering, and cutting-edge GenAI platforms.
As Product Director for Enterprise GenAI Platform at GSK, I lead vision, strategy, and execution of multi-cloud AI infrastructure powering 1,500+ models and 35+ applications.
My expertise spans the full lifecycle — from architecture to GTM — with deep focus on AI Governance, Responsible AI, and scalable hybrid-cloud solutions.
GenAI Platform Leadership
Governed Agent 365, Glean, Writer, Claude Code & Gemini Enterprise. Built LLM + MCP gateway on Kong AI with automated guardrails.
Multi-Cloud Architecture
GenAI Dev Kit across Azure, GCP & Databricks. Expert in EKS/AKS/GKE Kubernetes at petabyte scale.
Organizational Leadership
Managed geo-distributed teams and $20M+ budgets. Aligned engineering, security & business on unified GenAI strategy.
Responsible AI & Governance
FDA/GxP compliant environments, RBAC/ABAC security policies, and enterprise Trust & Safety frameworks at scale.
Full-Stack AI
Expertise
Professional
Experience
- Strategy: Set GenAI & Agentic AI vision; governed Agent 365, Glean, Writer, Claude Code, Gemini Enterprise.
- Platform: Multi-cloud GenAI Dev Kit (Azure, GCP, Databricks) powering 1,500+ models and 35+ apps.
- Gateway: Built LLM & MCP gateway on Kong AI with automated provisioning and enterprise guardrails.
- ML: Fine-tuned LLMs, transformers, GraphRAG, synthetic data; piloted Claude Code & Writer for delivery velocity.
- GTM: Led go-to-market for internal GenAI tools; evangelized MCP Server & A2A on petabytes of data.
- Leadership: Managed geo-distributed teams and $20M+ annual budget; unified platform, security & business.
- Architected global multi-cloud storage (Azure/Synapse) managing petabytes as backbone for enterprise analytics.
- Grew self-service data portal to 10,000+ daily users via UX modernisation and Terraform one-click provisioning.
- Delivered FDA/GxP compliant environment with granular RBAC/ABAC across the full data pipeline.
- Designed REST APIs and SDKs enabling seamless downstream integrations.
- Architected cluster-on-demand Cloudera environments; automated CI/CD and REST APIs.
- Secured stack with AD Kerberos, KTS, KMS, TLS; containerised services on Docker Swarm.
- HA/DR with NetApp and F5; tuned SOLR, HBase, HDFS for performance.
- Built Hadoop pipelines using MapReduce, Sqoop (HDFS ↔ MySQL), and Oozie orchestration.
- Automated Hive, Impala, and Sentry workspaces; managed cluster operations.
- Built distributed data platforms across Cloudera, Hortonworks, MAPR, and Datastax Cassandra.
- Designed high-performance Cassandra clusters and Hive schemas.
Education
GitHub Projects
Grab My
Resume
Clean one-page format — ATS-ready and recruiter-friendly.
Let's Build
Something
Together
Open to VP/Director-level roles in AI, cloud, and pharma tech — Google, Microsoft, Cloudflare, Shopify, and beyond.
Pick a time that works for you — afternoons, weekdays only. I'll confirm shortly.
Opens Google Calendar · Austin CT · Remote friendly