Resume · Apr 2026 · 1 page
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Krishnasai Hemanth Randhi

Product Manager · AI · Regulated B2B SaaS · 4 yrs
Bangalore, IN · Open to Hyderabad / Remote
Profile

Product Manager shipping AI-native B2B SaaS in regulated domains. Four years across healthcare GRC, clinical workflows, and enterprise retail. ~$500K ARR shipped, one $1M project killed on purpose, and zero SLA breaches across cross-functional delivery.

Experience
Aug 2025 - Present
Product Owner
Symplr · Healthcare GRC SaaS · Bangalore, IN
  • Shipped LLM + RAG quote automation - cut data entry 88% (8 to 1 min/quote), turnaround 38% (3.2 to 1.5 days), scaled analyst throughput 1.65x without added headcount.
  • Identified $5-7M savings for enterprise hospital client through Spend & Evidence Analysis AI POC; delivered under compliance and zero SLA breaches.
  • Authored PRDs and WSJF-prioritized multi-product roadmap across four squads; owned Pendo telemetry and weekly review cadence with eng, QA, CS, compliance.
  • Stakeholder management: aligned cross-functional teams (eng, QA, CS, legal) on competing priorities; presented roadmap trade-offs directly to senior leadership.
  • Recognized: Dream Team (cross-product delivery), Consider It Done, You Make a Difference.
Feb 2022 - Aug 2025
Senior Business Analyst · Product
Quantiphi · AI-first digital engineering · Bangalore, IN
  • Led 0→1 clinical AI platform (FDA SaMD, multi-tenant) for an enterprise pharma client - pivoted MVP from speed-first to interpretability-first after 20+ clinician interviews; NLP 68 to 88%, $500K+ ARR in 6 months.
  • Eliminated 4,000+ manual hours/yr via clinical workflow automation; RAG + HITL architectures on Gemini foundation model.
  • Recommended termination of a $1M AI initiative in discovery after surfacing PHI/PII compliance blockers and negative ROI - engineering spend avoided, team rotated to shipping work.
  • Cut enterprise retail cart abandonment 42% via Pendo funnel instrumentation and controlled A/B testing.
  • AI model evaluation: ran structured red-teaming, confidence-threshold calibration, and edge-case taxonomy to improve model reliability and compliance defensibility.
  • Recognized: Kaizen (delivery excellence), Justice League (cross-functional impact), SPOT (client impact).
Capabilities
Product strategy
0→1 discovery Roadmap definition WSJF / RICE Kill-memo artifacts GTM sequencing Stakeholder management Executive communication
AI & regulated SaaS
LLM + RAG HITL architectures Gemini GPT Claude FDA SaMD HIPAA GDPR Prompt tuning Eval loops AI red-teaming
Execution
SAFe Agile JIRA Azure DevOps Confluence Sprint ceremonies Cross-functional delivery
Research & tools
Pendo Controlled A/B testing User interviews Figma Miro Postman SQL basics
Education & Certifications
Education
B.Tech, Computer Science & Engineering · India · 2018–2022
Certifications
SAFe 5.0 POPM · Google Associate Cloud Engineer · Google Cloud & Cybersecurity
Selected case studies