Saurabh Ranjan

Own end-to-end customer engagement for client MahaIT (Maharashtra IT), spanning engineering efforts, product planning, execution, and delivery, with multi-level stakeholder management across MahaIT officials, directors, department secretaries, and the chief secretary. Serve as the primary technical interface between multi-level client stakeholders and internal engineering teams, aligning product planning, execution, delivery, and broader rollout strategy.

Served as forward-deployed AI systems architect for strategic enterprise and government partners, including Google, IBM, HPE, and national security, law enforcement, and central/state government agencies—owning end-to-end technical discovery, solution engineering, architectural decisions, technical POCs and demos, deployment, and multi-level stakeholder management. Led execution of AI-enabled systems including Facial Recognition Systems (FRS) and video, audio, and document forensic workflows from ambiguous requirements through production deployment, making risk-aware architectural decisions that balance performance, security, compliance, and operational constraints while maintaining direct accountability for delivery outcomes in complex, multi-party environments. Led end-to-end development, deployment, and delivery of an intelligent citizen-facing chat platform for Dubai RTA. Drove client engagement, pre-sales, and post-sales efforts through technical POCs, demos, solution design and documentation, and deployment production-readiness standards, release governance, and quality guardrails.

Led a cross-functional team of 20 across backend, frontend, DevOps, QA, and cybersecurity analysts to develop a cybersecurity product suite spanning compliance management, vulnerability assessment, threat intelligence, intrusion detection, and data loss prevention—owning product discovery, requirements gathering, sprint planning, resource allocation, performance reviews, and cross-team collaboration while remaining hands-on. Architected and delivered an AI-driven cybersecurity monitoring platform covering threat detection, vulnerability assessment, compliance automation, and DLP—reducing manual threat analysis time by 50% while ensuring auditability across product modules and enterprise-grade security controls. Led pre-sales and post-sales efforts—solution engineering, technical POCs, and demos—translating fragmented client requirements into deployable solutions and de-risking adoption within security-critical workflows. Designed and led adoption of an organization-wide architectural philosophy for application development spanning backend and frontend, including migration to a micro-frontend and a generalized core platform that let teams build, deploy, and ship new applications faster and more consistently across the organization.

Led a team of 5 engineers across backend and frontend in designing and implementing CyberX, a cloud-native anti-fraud cybersecurity platform for Indian Railways (IRCTC)—managing technical leadership, stakeholder management, and deployment/security environments, improving fraud prevention outcomes by 40%. Collaborated with multi-level stakeholders of IRCTC's anti-fraud unit on product discovery, feature prioritization based on expected outcomes and client value, and management of a multi-cloud environment.

Built Blaze Deploy, a SaaS platform automating Salesforce configuration deployments, cutting deployment errors by 90% and accelerating release cycles for enterprise clients. Developed STELA, integrating surgical mapping data with Smith+Nephew's LMS to improve clinical efficiency and procedural accuracy in regulated healthcare environments.

Maintained and enhanced an internal financial training and management platform, improving system reliability and consolidating user data for informed decision-making. Improved front-end performance by reducing load times and introducing modular components to support maintainability and future enhancements.