Product Manager, Senior PM, AI PM, SaaS PM.
Live portfolio system / PM candidate profile
Chaitanya Aggarwal
AI Product Manager, 0 to 1 builder, and operator who turns messy user pain into shipped products with measurable business impact.
Status: open to PM roles
Washington DC / Remote / Hybrid
Candidate ID
AI PM / Builder
FinTech, EdTech, SaaS, LLM evaluation
$
0.0
M impact
#
0
products shipped
+
0
engineers led
AI product strategy
LLM evaluation
B2B SaaS
0 to 1 launches
User research
Roadmaps that ship
AI product strategy
LLM evaluation
B2B SaaS
0 to 1 launches
User research
Roadmaps that ship
Recruiter Fast Mode
Fast signal for hiring teams.
AI-first teams, FinTech, EdTech, B2B SaaS, 0 to 1 products.
$1.8M NPA reduction, 6 shipped products, 30+ engineers led.
Mission Archive
Case studies that open like product incidents.
Each mission has a user problem, a decision path, and the result that proved the product worked.
Founder / Live Product
Finwise
AI personal finance coach built end-to-end after users said finance apps showed data but did not tell them what to do next.
Problem
Users were drowning in charts and starving for answers.
Decision
Ran 15+ interviews, built with React, Firebase, and Gemini API, then validated 50+ financial scenarios.
Result
Live MVP ready for user testing with personalized AI insights.
AI PM Lab
Ask the portfolio like it is an interview room.
Quick answers about product judgment, AI experience, prioritization, and team leadership.
product-agent.ca
system Ready. Ask about Chaitanya's product judgment.
Capability Radar
The rare mix: strategy, AI, execution, engineering empathy.
AI
Research
Delivery
Data
PM
Product vision, roadmapping, GTM, KPI and OKR frameworks, competitor analysis.
Agile, Scrum, SAFe, sprint planning, stakeholder communication, backlog ownership.
LLM evaluation, prompt design, SQL insights, analytics, hallucination and bias detection.
React, Firebase, APIs, Figma, wireframes, user interviews, A/B testing.
Trajectory
From engineering systems to AI product systems.
Built the systems-thinking base.
Translated field pain into SaaS workflows.
Owned enterprise roadmaps and measurable impact.
Deepened tech strategy and delivery leadership in the US.
LLM evaluation, Finwise, and AI-first PM work.