Inbaraj B

Implementation/Product Adoption Lead

inbarajb91@gmail.com·+91 7200108575·LinkedIn

Summary

Results-driven Implementation Lead and Program Manager with extensive experience in end-to-end SaaS and CMMS deployments, from requirement gathering and solution design to execution, UAT, and go-live support. Proven ability to translate complex operational needs into effective system configurations and successful rollouts. Adept at managing cross-functional teams, facilitating stakeholder engagement, and ensuring client success. Combines consultative thinking with precise execution to deliver impactful solutions and drive adoption.

Work Experience

Nov 2021 – Present

LEAD, PRODUCT IMPLEMENTATION

FACILIO

  • •Led 17 end-to-end full-scale enterprise implementations of CMMS/SaaS solutions for mid- to large enterprises, managing the full project lifecycle from initial scoping to post-go-live support.
  • •Facilitated client workshops and stakeholder meetings to gather and document detailed business requirements, translating them into clear BRDs and solution designs.
  • •Developed comprehensive project plans, including Work Breakdown Structures (WBS) and activity tracking, to ensure timely and efficient execution.
  • •Configured and tested SaaS platforms to meet specific client needs, addressing fixes, enhancements, and compliance requirements, driving customer adoption and enabling smooth management of maintenance operations.
  • •Managed client-facing communication across diverse organizations, interfacing with executives, project leads, and operational teams to ensure alignment and satisfaction.
  • •Acted as a customer advocate, bridging communication between clients and internal product, engineering, and design teams to drive solution improvements.
  • •Designed a structured, use-case driven implementation framework by documenting granular vertical-specific workflows, assigning complexity scores, and mapping predefined effort models. Enabled pre-sales to scope accurately, auto-calculate timelines, and reduce ambiguity during BRD and UAT cycles. Standardized delivery through reusable SOPs, eliminating rework and minimizing post–go-live change chaos.
  • •Identified unaccounted implementation effort caused by frequent sub-CR scope changes and built a structured tracking mechanism to quantify hidden workload. Partnered with Sales to introduce pre-purchased Professional Services credits, converting informal change effort into measurable, billable units. Enabled data-driven scope control, reduced revenue leakage, and created a scalable model for managing post-scope adjustments.

May 2016 – Oct 2021

SENIOR CATALOG SPECIALIST

AMAZON

  • •Managed and resolved catalog and procurement defects for critical Amazon programs (Amazon Fresh, Amazon Pantry, Prime Now), directly impacting operational efficiency.
  • •Designed and implemented a defect prioritization framework based on product forecast, inventory value, and glance views, resulting in an estimated monthly savings of $230K.
  • •Streamlined defect reduction processes by identifying and addressing gaps in Standard Operating Procedures (SOPs), significantly reducing invalid case assignments between support teams (average of 50 per day).

Projects

FM ENGINE | WhatsApp-First CMMSView

Engineered an automated intake system. Built a scalable multi-tenant architecture capable of onboarding new buildings in under two minutes, featuring real-time dashboard updates and secure identity mapping for residents.

Situation / Problem: Residents faced friction reporting maintenance issues due to app download requirements, leading to low compliance.

Solution: Developed a "Zero-Training" Facility Management platform enabling residents to report maintenance issues via WhatsApp, triaging informal chat messages into structured professional service requests.

Impact: Increased ticket reporting compliance by eliminating friction of app downloads, ensuring high data quality for facility managers.

Parabls | Conversational AI Job CurationView

AI-Driven "Conversation-First" Job Search Platform. Zero-Form Onboarding: Replaced traditional friction-heavy signups with an AI-led discovery chat (text/voice) that automatically generates user profiles, resumes, and search criteria. Story-Style Job Matching: Developed a "Job Intelligence" engine providing narrative-driven fit scores based on career goals and constraints.

Situation / Problem: Fragmented, form-heavy job search with generic resumes and weak ATS fit. Sourcing relies on unreliable data.

Solution: Zero-form onboarding via AI chat, generating profiles and resumes. AI Resume Builder creates ATS-optimized variants with real-time suggestions.

Impact: AI-driven job search platform with narrative-based fit scores, transparent application tracking, and curated data sourcing from verified portals.

Next.js 16 · React 19 · TypeScript · Tailwind v4 · shadcn/ui · Framer Motion · Supabase · Google Gemini · @react-pdf/renderer · Vercel

AI Configuration Query Assistant for Enterprise Platform Support

Built an AI-powered assistant that enables support teams to query enterprise platform configurations using natural language. The system retrieves and interprets account-level XML configuration data through internal tools to explain workflows, SLAs, and automation logic.

Situation / Problem: Enterprise implementations undergo continuous configuration changes from design to go-live, making solution documentation difficult to maintain accurately. Support teams often lack visibility into the final system configuration, leading to repeated dependency on implementation engineers during post-go-live issues.

Solution: Collaborated with engineering to export platform configurations as XML and expose them through internal retrieval tools. Implemented an AI query assistant that explores configuration repositories and fetches relevant XML data to answer support questions in natural language.

Impact: Enabled support teams to self-serve configuration insights without relying on implementation engineers. Improved handover quality and troubleshooting speed for enterprise customer environments.

AI · RAG · ChatGPT · XML · API

Skills

Technical
CMMS ConfigurationSaaS ConfigurationSystem IntegrationAPIJavaScript-like UI Scripting
Soft
Implementation LeadershipProgram ManagementSaaS DeploymentRequirement GatheringSolution DesignProject Planning & ExecutionStakeholder ManagementClient Relationship ManagementWorkshop FacilitationBusiness Requirements Documentation (BRD)UAT & Go-Live SupportTeam Leadership
Languages
EnglishTamil

Education

M.TECH in EMBEDDED SYSTEMS

Hindustan University · 2015

B.E in ELECTRONICS & COMMUNICATION

Balaji Institute of Engineering and Technology · 2012