Open to opportunities

Apurva Nagarkar

@apurvanagarkar

Senior technical product leader delivering end-to-end AI and cloud platform products with strong governance and measurable ROI.

United States

Message

What I'm looking for

I’m looking for a technical product leadership role where I can own 0→1 and end-to-end delivery (AI/cloud/web APIs) with strong governance, measurable ROI, and cross-functional mentoring—especially in regulated or high-impact domains.

I bring 14+ years of experience in software engineering and product delivery, owning end-to-end product lifecycles from ideation and architectural design through large-scale deployment across distributed cloud applications (web/mobile/APIs). I’m experienced in Scrum/Kanban/SAFe and thrive in cross-functional delivery in regulated industries (finance/insurance) and high-growth startups, with a focus on governance, risk, and measurable outcomes.

Most recently, I led 0→1 AI product delivery for fact-checking, shipping an MVP and building LLM/RAG pipelines with model risk management guardrails for regulatory compliance. Previously at JPMorgan Chase, I delivered 0→1 omnichannel AI/ML capabilities (fraud/intent detection) for 35K+ users, achieving ~30% operations cost savings, improving queue wait time, and driving a 20% customer satisfaction lift—while mentoring a high-performance team of 8+ and strengthening delivery resilience through SLO/incident triage and RCA.

Experience

Work history, roles, and key accomplishments

Technical AI Product Manager

Fact Finders

Aug 2024 - Dec 2025 (1 year 4 months)

Owned a 0→1 AI fact-checking product roadmap and delivered an investment validation MVP using GenAI and RAG architectures. Reduced AI operational costs by 20% by implementing prompt caching and optimizing token spend with regulatory-focused model risk guardrails.

RAG Architecture Vector Databases Model Risk Management (MRM) Guardrails Prompt Engineering Cost Optimization Token Spend

Technical AI Product Manager

Fact Finders Pro

Aug 2024 - Dec 2025 (1 year 4 months)

Owned the 0→1 AI roadmap for fact-checking, delivering an investment-validation MVP using GenAI/RAG and OCR/NLP workflows. Established model risk management guardrails for regulatory compliance and reduced AI operational costs by 20% via prompt caching and token optimization.

GenAI RAG Vector Databases NLP Prompt Caching AI Governance Cost Optimization