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Tarun Abhaye Thiagarajan

Mid-level Solutions & Pre-Sales Manager specializing in HRMS, analytics, and multi-cloud AI

University of California, RiversideUC RiversideCA, USA3 Years ExperienceMid LevelWorks On-Site

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About

Enterprise implementation/deployment specialist focused on HRMS and payroll systems across APAC customers, combining cloud/hybrid (AWS/Azure/GCP) integration work with strong client-facing delivery. Demonstrated ability to debug complex production issues across application, database, and network layers (e.g., isolating VPN/router congestion) and to tailor Python-based data cleaning/scoring/utilities to customer-specific workflows.

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Key Strengths

  • Led complex enterprise HRMS/payroll deployments with live integrations and compliance constraints
  • Systematically resolved data quality/edge-case issues via schema standardization, validation, parallel testing, and staged rollouts
  • Cross-layer (app/DB/network) troubleshooting to isolate root cause using logs, monitoring, and network traces
  • Diagnosed and mitigated VPN/router congestion issues (rerouting, bandwidth increases, app retries/timeouts)
  • Strong customer-facing delivery: sets milestones, communicates risks/trade-offs in business terms, and aligns releases to outcomes
  • Hands-on on-site collaboration with HR/payroll/operations teams to map workflows and iterate on production-ready fixes
  • Owned end-to-end lightweight outbound motion (prospecting → outreach → discovery → demo → proposal/RFP → close/expansion)
  • Strong ICP definition and target list building using clear criteria (industry, size, maturity, tech stack, pain signals)
  • Prioritizes prospects using fit + timing signals (growth, compliance pressure, leadership changes, vendor/tooling changes)
  • Effective multi-channel enterprise outreach with event/timing-based follow-ups (payroll cycles, compliance deadlines)
  • Built repeatable pre-sales processes in ambiguous early-market expansion (discovery templates, demo checklists, rollout steps)
  • Uses AI/automation to accelerate GTM workflows (research, drafting, summarization) and prototypes internal tools quickly
  • Experience selling HRMS/payroll SaaS into APAC enterprise stakeholders (HR/CHRO/IT/ops/rev ops)
  • Took AI-assisted payroll & compliance solution from PoC to production for enterprise customers (Philippines)
  • Anchors AI solutions on real customer workflows and production reliability (rules, checks, fallbacks)
  • Strong at diagnosing LLM workflow issues end-to-end and isolating failure points live with customers
  • Stabilized inconsistent LLM outputs caused by noisy regional data using schema validation, prompt constraints, deterministic rules, and live A/B testing
  • Effective technical communication: translates technical challenges into business impact and clear trade-offs
  • Developer-focused demos/workshops emphasizing APIs, data models, failure modes, extensibility, and interactive whiteboarding

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Experience

Reader – AGSM Business School and Department of Sociology, University of California, RiversideUniversity of California, Riverside · Jan 2025 – Mar 2025part-time
Assurance – FSO Technology Risk InternEY (Ernst & Young LLP) · Jun 2025 – Aug 2025internship
Executive HCM – Pre Sales Manager (APAC)Adrenalin eSystems Pvt Ltd · Apr 2023 – Aug 2024
Implementation Engineer – APACAdrenalin eSystems Pvt Ltd · Feb 2022 – Mar 2023
Travel ConsultantPickYourTrail · Nov 2021 – Feb 2022
Assurance – FSO Technology Risk InternErnst & Young LLP (EY) · Jun 2025 – Aug 2025internship

Education

UC Riversidemaster, Business Analytics
Anna Universitybachelor, Electronics and Communication Engineering

Languages

English

Certifications

CSPO (Certified Scrum Product Owner)CSM (Certified ScrumMaster) (in progress)CSPO®CSM® (in progress)

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Connect with Tarun

Tarun already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

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Hire with Reval

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Tarun Abhaye ThiagarajanMid-level Solutions & Pre-Sales Manager specializing in HRMS, analytics, and multi-cloud AI