20 enterprise SaaS rollouts across the UK, US, and Middle East. 5 years bridging business requirements and technical execution — on-site and remote. Now building AI-native tools that solve the problems I’ve lived through.
Conceptualized a use-case-driven implementation framework with complexity scoring and effort models — enabling pre-sales to scope accurately, auto-calculate timelines, and cut BRD/UAT ambiguity.
Identified unaccounted scope-change efforts and built a tracking mechanism. Collaborated with Sales to introduce pre-purchased Professional Services credits — converting informal changes into billable units.
Travelled on-site to Saudi Arabia for a half-million dollar engagement and to the UK for MHA — field requirement gathering, stakeholder workshops, and go-live training across UK, US, and Middle East.
4 of 5 pilots converted to full-scale enterprise rollouts — through structured discovery, early value demonstration, and deep stakeholder alignment during the pilot phase, driving $350K+ in expansion value.
Owned the end-to-end requirements lifecycle — from scoping workshops with client stakeholders to documenting BRDs with solution designs. Worked cross-functionally with integration, product, and engineering teams to tailor configurations that best fit each client’s operational workflow.
Scoped and defined integration requirements across SSO (SAML/SCIM) and third-party platforms including Xero, CorrigoPro, Equiem, Wooqer, Bill.com, SiteFotos, and SFG20. Validated API feasibility via Postman and vendor documentation, determined integration patterns (polling vs webhook), and authored integration requirement documents for the engineering team.
Zero-training facility management platform. Residents report maintenance issues via WhatsApp — informal chat messages triaged into structured professional service requests. Multi-tenant architecture.
AI-driven “conversation-first” job search. Zero-form onboarding via AI chat generates profiles and ATS-optimised resumes. Narrative-based fit scores and transparent application tracking.
AI-powered assistant that lets support teams query enterprise platform configurations in natural language — eliminating dependency on implementation engineers post go-live.
Bridges the gap between raw trading interfaces and disciplined strategy-driven execution. Users define structured trading blueprints — AI monitors conditions, generates setups, and drafts trades for human approval.
30 minutes. No agenda needed.
Whether you’re hiring, evaluating, or just want to understand how I work — pick a slot and let’s have a conversation.
Targeting roles in implementation leadership, business analysis, or account management — ideally at a company where enterprise depth meets product thinking.
Based in Chennai. Available for hybrid or remote roles.