Murali Chinta

Background

About Murali Chinta

Staff Technical Program Manager with over 14 years of experience across enterprise IT and SaaS - including 8+ years leading high-impact technical programs. I specialize in driving enterprise-scale initiatives across Generative AI, LLMs, AI Agents, cloud-integrated SaaS platforms and hyperscaler ecosystems (AWS, Azure, GCP). At Freshworks, I’ve led some of the company’s most transformative AI initiatives - including Freddy AI Guardian, AI Fabric and Cloud Observability - collaborating across 6+ engineering teams. I translated complex AI governance goals into scalable execution, overseeing end-to-end delivery while aligning product, security, data, infra, and vendor ecosystems (AWS, Microsoft, Databricks, ScyllaDB). A career highlight: spearheading the AWS SCA Co-Build Initiative, securing $1.89M in funding and delivering three cross-BU AI programs - including LLM-integrated features, modernized MLOps pipelines, automation and intelligent search - all shipped on time while deepening hyperscaler alliances. Beyond AI, I champion developer productivity and cloud efficiency. I led GitHub Copilot adoption via org-wide Codeathons and enablement workflows, resulting in a 35% increase in dev velocity. I’ve also designed cloud cost governance playbooks, driving 20%+ infra savings across environments. What I bring to the table: • A builder’s mindset – leading zero-to-one programs and scaling platforms across global teams • Executional excellence – driving complex initiatives with structure, velocity and stakeholder alignment • Strategic influence – orchestrating outcomes across Product, Engineering, Legal and Vendor leadership • Product-tech fluency – I speak engineering, understand system trade-offs and lead with curiosity My focus: Driving GenAI programs with deep emphasis on LLMs, AI Agents, RAG workflows, Responsible AI, and governance-first delivery. I lead cross-functional execution across data labeling, model evaluation, MLOps platforms (MLflow, Vertex AI, SageMaker), vector databases and annotation tools (Label Studio, Argilla, Labelbox)- ensuring scalable, secure, and ethical AI systems in production.