Customer & Behavioral Psychology
Understanding how users think, struggle, decide, and adopt products.

AI-First Technical Product Manager
Ex-AWS PMT-ES Intern · Ex-Microsoft Azure Engineer · UW Foster STEM MBA ’26
Who I Am
Hi 👋, I’m Shankar — an AI-first Technical Product Manager who brings curiosity, technical depth, product taste, and grit to ambiguous problems. I enjoy product work that starts with a messy human problem, moves through disciplined discovery, and ends in a clear strategy, prototype, or roadmap that helps cross-functional teams build simple, scalable products customers adopt and trust.
Outside product work, I’m usually hiking, working out, or trying to understand why people behave the way they do.
Below are a few of my latest projects, some of which are still works in progress. For more project work, check out the Experience and Education sections below.
Discovered student wellness pain points through six customer interviews, synthesized unmet needs, and built a behavioral psychology-informed GenAI product in three hours at the OpenAI Codex Hackathon.
Architected a cost- and time-efficient AI Hike Researcher, an agentic skill that automates real-time data gathering across six safety-critical dimensions, reducing weekly planning time by 98% through staged research and personalized filtering.
Built a GenAI music recommendation engine in n8n for mood and occasion sub-playlist curation, using dynamic song-feature selection and improving relevance by 73% versus a rule-based baseline in project testing.
Led an 11-member cross-functional team across design, engineering, and business to build HeyLily, a Hiya competitor and GenAI scam-call assistant for seniors. Ran 15+ user interviews, guided development of an android call app, and crafted a 5-year B2B2C go-to-market model.
Understanding how users think, struggle, decide, and adopt products.
Using AI to rethink workflows, reduce friction, and create new product experiences.
Turning customer signals, usage patterns, and business context into better product decisions.
Connecting customer needs, market context, financial tradeoffs, and go-to-market realities into product decisions that create durable business value.
Working credibly with engineering teams across cloud infrastructure, distributed systems, scalability, and reliability.
Aligning engineering, design, business, and customer stakeholders around clear problems and measurable outcomes.
Discipline, consistency, attention to detail, and simplicity.
Systematic thinking, observation, long-term orientation, and outcome-driven decisions.
Curiosity, empathy, inquisitiveness, abstract thinking, and high IQ + EQ.
Where I Worked
Amazon Web Services
Seattle, WA
Worked on AWS FinOps cost optimization strategy, customer discovery, roadmap prioritization, and PRFAQ-style product definition.
Microsoft
Bangalore, India
Built and led work across Azure Storage, Migrate, and Monitor, with experience spanning developer experience, distributed systems, UX performance, incident workflows, and cross-team delivery.
Spearheaded the 0-to-1 development and launch of a Windows CLI client using WSL2 virtualization for Blob NFS, unlocking a new Windows segment and onboarding 150+ B2B customers while partnering with product leadership on go-to-market strategy.
Built troubleshooting tooling to diagnose Azure Blob NFS issues, collect useful logs, and support faster root-cause analysis for users and Azure support workflows.
What I Studied
Foster School of Business, University of Washington
Seattle, WA
VP of Foster Tech Club and AI Product Builder, focused on product strategy, customer research, AI prototyping, go-to-market thinking, and product leadership.
Architected a cost- and time-efficient AI Hike Researcher, an agentic skill that automates real-time data gathering across six safety-critical dimensions, reducing weekly planning time by 98% through staged research and personalized filtering.
Built a GenAI music recommendation engine in n8n for mood and occasion sub-playlist curation, using dynamic song-feature selection and improving relevance by 73% versus a rule-based baseline in project testing.
Discovered student wellness pain points through six customer interviews, synthesized unmet needs, and built a behavioral psychology-informed GenAI product in three hours at the OpenAI Codex Hackathon.
Benchmarked Asana's sales strategy and go-to-market motion across nine dimensions, recommending clearer PLG vs. SLG guidance and competitive differentiation. Awarded 1st place for best assessment out of eight teams.
Led an 11-member cross-functional team across design, engineering, and business to build HeyLily, a Hiya competitor and GenAI scam-call assistant for seniors. Ran 15+ user interviews, guided development of an android call app, and crafted a 5-year B2B2C go-to-market model.
Launched a new Product Teardown series to deconstruct world-class products, producing three events with 110+ attendees.
Proposed Roblox, a user-generated-content platform, as the acquirer for Shutterstock in the Foster Case Competition. Presented a $1.5B valuation and synergy analysis showing how Shutterstock assets could expand Roblox creator tools, content quality, and market share.
Developed a go-to-market strategy for Microsoft 365 Copilot to capture 1% of the U.S. university student market, modeling $2.9M in value over four years. Positioned Copilot as a Gen Z-facing AI productivity product through campus adoption, value messaging, and education-focused GTM tactics.
Produced four milestone reports on South Korea's gaming sector, covering market sizing, developer and publisher mapping, growth themes, and investment analysis. Turned the research into a prioritized outreach list of six targets to guide 2025 go-to-market planning.
Developed a structured consulting analysis for SBS, turning client context, market research, and strategic signals into prioritized recommendations, supporting rationale, and an executive-ready presentation.
Created event marketing assets, posters, and audience-facing messaging for Foster Tech Club programming, translating event goals into clear promotional content and registration flows.
NextLeap
Bangalore, India
Product management fellowship focused on structured product thinking, customer pain-point analysis, and capstone problem solving.
Analyzed 100 one-star Bumble App Store ratings, root-caused the recurring no-matches problem, brainstormed solutions, and proposed Bumble Barney, a GenAI wingman intended to decrease no matches by 10%. Won 2nd rank in the February NextLeap Capstone project.
Designed wireframes for a Netflix social discovery concept, exploring how friend circles, onboarding, and recommendation flows could make content discovery more social and habit-forming.
Created a user persona and mapped Netflix's new-user onboarding journey to identify friction points, emotional states, and opportunities to improve activation, personalization, and first-session value. Published the journey map on Figma, where it received 650+ uses and 17+ likes.
Collected product design explorations in Figma, including journey maps, wireframes, and interface concepts that show product thinking across discovery, interaction design, and user experience.

PES University
Bangalore, India
Graduated with a 9.5 CGPA, ranked in the top 5% of the class.
Built a GenAI tool that transforms hand-drawn sketches into realistic images using Convolutional Neural Networks and Generative Adversarial Networks. Won 2nd place in the final-year project competition for applying computer vision and generative modeling to creative image generation.
How to Contact Me
Liked my work, have an idea to collaborate on, or just want to chat? I’d be happy to hear from you. ☕