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Prashant Rana

AI Product Manager | Generative AI, Agentic Workflows, LLM Applications | Building Healthcare AI Platforms at Enterprise Scale | Building & Shipping AI Side Projects

Bengaluru

4+ years of work experience

Elsevier
Jan 20269 mosPresent

Gurugram, Haryana, India

Jio Platforms Limited (JPL)
Jan 20233 yrs 3 mosMar 2026

Bengaluru, Karnataka, India

Karkinos Healthcare
Jul 20227 mosJan 2023

Bengaluru, Karnataka, India

Prashant’s AI Stack

aistudio
aistudio
anthropic apis
anthropic apis
claude code
claude code
claude
claude
gemini
gemini
Figma Make
Figma Make

Education

Chitkara University

Master of Business Administration - MBA, Healthcare Management with IT & Analysis

Chitkara University

20212 yrs2023

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Headline

AI Product Manager | Generative AI, Agentic Workflows, LLM Applications | Building Healthcare AI Platforms at Enterprise Scale | Building & Shipping AI Side Projects

About

AI Product Manager building Generative AI and agentic platforms for healthcare, used by clinicians, researchers, and enterprise health systems at scale. I also prototype AI products on the side, exploring how LLMs and agentic systems can solve workflow problems beyond my day job. At Elsevier, I lead AI product strategy for healthcare AI platforms deployed across India and the UK, including work with NHS and frontline health teams. The work sits at the intersection of LLMs, agentic workflows, and clinical adoption, where accuracy, safety, and trust are non-negotiable. I focus on three things: 1. Building AI that clinicians and end users actually adopt Most AI products fail at adoption, not capability. I design with users from day one, define evaluation benchmarks before launch, and treat human-in-the-loop as a feature, not an afterthought. 2. Productionising Generative AI responsibly Prompt iteration, eval harnesses, agentic orchestration, model performance thresholds, guardrails, and release gates. The unglamorous work that decides whether an AI product survives contact with reality. 3. Shipping with measurable outcomes Roughly 50% faster response times after AI-assisted app rollout. 40% reduction in physician documentation effort through AI scribing. 30% revenue lift across AI-driven workflows. 10M+ structured records on the oncology data platform I scaled at Jio. Previously at Jio Platforms, I led 0 to 1 builds and scaling for: - Oncology data platform: 10M+ records, 75% improvement in structured coverage - Clinical analytics platform: 38K+ records, used by tumour boards - AI clinical documentation (speech-to-text plus LLM summarisation) - Expert Opinion platform scaled to 1,350+ weekly cases Outside of work, I prototype small AI experiments to stay sharp on how LLMs and agentic systems behave in the wild. Not polished products, just hands-on building to keep my intuitions honest as the technology moves. What I care about: AI Product Strategy. LLM Application Design. Agentic Workflows. RAG and Retrieval Systems. Model Evaluation. Human-in-the-Loop Design. Responsible AI. Platform Thinking. Healthcare AI Adoption. Open to conversations on AI product strategy, healthcare AI, and building AI systems for high-stakes domains. Reach out at rprashant605@gmail.com.

Location

Bengaluru

AI stack

aistudio

anthropic apis

claude code

claude

gemini

Figma Make

Work experience

Product Manager at Elsevier, Jan 2026 - Present · 9 mos, Gurugram, Haryana, India

Product Manager at Jio Platforms Limited (JPL), Jan 2023 - Mar 2026 · 3 yrs 3 mos, Bengaluru, Karnataka, India

Tech Intern at Karkinos Healthcare, Jul 2022 - Jan 2023 · 7 mos, Bengaluru, Karnataka, India

Education

Master of Business Administration - MBA, Healthcare Management with IT & Analysis, Chitkara University