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Tarun Abhaye Thiagarajan
Mid-level Solutions & Pre-Sales Manager specializing in HRMS, analytics, and multi-cloud AI
CA, USAReader – AGSM Business School and Department of Sociology, University of California, Riverside3 years experienceMid-LevelEducationConsultingProfessional Services
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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.
Experience
Reader – AGSM Business School and Department of Sociology, University of California, RiversideUniversity of California, Riverside
Assurance – FSO Technology Risk InternEY (Ernst & Young LLP)
Executive HCM – Pre Sales Manager (APAC)Adrenalin eSystems Pvt Ltd
Implementation Engineer – APACAdrenalin eSystems Pvt Ltd
Travel ConsultantPickYourTrail
Assurance – FSO Technology Risk InternErnst & Young LLP (EY)
Education
University of California, Riverside - A. Gary Anderson Graduate School of Managementmaster, Business Analytics
Anna University, Chennai, Indiabachelor, Electronics and Communication Engineering
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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