Krishnasai Hemanth Randhi

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

Profile

Four years shipping AI-native B2B SaaS in regulated domains: healthcare GRC, clinical workflows, and enterprise retail. $500K+ ARR shipped, $5–7M in client savings identified, and one $1M project killed on purpose.

krishnashemanth@gmail.com · linkedin.com/in/krishnashemanth · krishnashemanth.github.io

Experience

Aug 2025 – Present

Product Owner

Symplr · Enterprise Healthcare GRC SaaS · Bangalore, IN

Shipped LLM + RAG quote automation: cut extraction time 97% (30–40 to under 1 min/quote) at ~99.9% accuracy, turnaround 38% (3.2 to 1.5–2 days), without added headcount.
Identified $5–7M savings for enterprise hospital client through a clinical AI POC validated against live contract data; adopted into the core sales narrative within 90 days.
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-functional collaboration), You Make a Difference (AI POC delivery).

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 (process improvement), SPOT (exceptional delivery).

Capabilities

Education & Certifications

Education. M.Tech, Industrial Biotechnology · NIT Karnataka (NITK Surathkal) · CGPA 8.2
B.Tech, Biotechnology · NIT Andhra Pradesh (NITAP) · CGPA 7.3

Certifications. SAFe 5.0 POPM · Product Management Certificate, Product School · Google Associate Cloud Engineer

Selected case studies

AI Quote Automation 97% faster extraction, ~99.9% accuracy, in production.
Clinical Radiology AI · 0→1 NLP 68 to 88%, $500K+ ARR in 6 months.
The $1M project I killed on purpose Compliance-driven discovery kill memo.
Phoenix: Legacy Modernization Prototype 20-yr, 366-screen legacy rebuilt as an AI-first web app.

All 9 case studies →

Let's build what actually ships.

krishnashemanth@gmail.com LinkedIn →