Built the Fableverse AI platform from 0 → 150K+ users, leading 0→1 development of the image generation infrastructure (~1,000 images/day), internal model training and prompt intelligence systems, and APIs enabling external chat platforms to generate context-aware images.

• Led UX definition for homepage discovery and the in-chat user lifecycle, including onboarding questions, narrative pacing, and action affordances (generate, regenerate, edit) that structured the roleplay interaction model
• Authored detailed UX specifications for modals, edit flows, and generation controls (selection states, constraints, empty/loading states, fallback behavior), ensuring clear design-to-engineering handoffs
• UX decisions contributed to ~1 hour average app session time and significantly deeper engagement on mobile vs web

• Shifted roadmap focus to depth-first engagement, identifying message count and image interaction as key intent signals
• Drove product changes that resulted in 27% of app users sending 50+ messages, 733 avg messages per app user (~30% higher than web)
• Improved early retention for high-intent cohorts, achieving ~30% D1 retention for 20+ message users and up to 54% D1 retention in smaller cohorts

• Owned product analytics instrumentation in partnership with the data team, defining event taxonomy, schemas, and properties across chat engagement, AI SEE image generation, UGC creation, and activation triggers
• Designed funnel checkpoints and cohort logic (e.g., 20+ / 50+ messages, image generators, UGC creators) to ensure product questions were measurable and actionable
• Used event-level insights to diagnose drop-offs, inform prioritization, and guide iteration across engagement and retention loops

• Owned the product definition and UX of AI SEE image generation as a creator engagement and monetization surface inside chat
• Defined generation behavior across prompt construction, async delivery, loading states, and fallback UX, balancing latency, model quality limitations, infrastructure cost, and chat continuity
• Scaled SEE usage to ~1,000 image generations per day with entirely organic traffic, making SEE one of the platform's most-used interactive features

• Led product definition for SEE API, extending VoyceMe's AI generation platform into a B2B product enabling external chat platforms to integrate real-time image generation
• Defined API product behavior including generation request structure, prompt rendering from live chat context, async vs real-time delivery, latency thresholds, and error handling
• Worked with AI engineers to improve model training targets and prompt rendering pipelines, ensuring generation quality across partner use cases
• Designed client-facing usage dashboards and analytics instrumentation tracking API volume, latency, success rates, and downstream image interactions

• Owned UGC character creation as a product system (create → test → regenerate → repeat), driving 63% UGC participation, 44% character creation penetration, and ~3 generations per user
• Designed and optimized activation triggers inside product flows, achieving 19% sign-up conversion via character creation and 22% conversion on regenerate actions (highest-performing trigger)
• Identified creator retention constraints (15–18%) and surfaced product-side levers to improve repeat creation and long-term engagement

• Built internal tooling for dataset curation, prompt intelligence, and generation quality evaluation across the Scene Engine platform
• Defined workflows for training data ingestion and annotation, including a custom browser plugin for collecting and tagging training images from the web
• Developed systems for prompt similarity scoring, prompt rewriting, and prompt generalization to improve generation consistency
• Helped establish model evaluation workflows, including test harness validation and bad-generation classification

Led product roadmap, monetization, and activation initiatives across web and mobile, contributing to $2M+ ARR. Owned feature delivery, lifecycle design, and PLG motion for a 25K+ MAU creator SaaS, combining user research, cohort analytics, and GTM execution.

• Redesigned onboarding using behavioral segmentation and dynamic routing, improving homepage engagement from ~70% → 92% and first-week activation from 11.5% → 14.1%
• Introduced guided walkthroughs and coach marks informed by session replay and drop-off analysis, increasing first core action completion by ~28% and feature adoption by 31%
• Built churn prediction models using RFM and activity scoring across 7- and 30-day cohorts, reducing churn from 17% → 10.2%, and to ~7.8% for targeted cohorts

• Led development and launch of AI Writer, AI Carousel, and AI Influencer; piloted Chrome extension for transcription workflows
• AI Writer v1 increased free-to-paid conversion by 41% post-launch and added $17.8K MRR within 60 days
• Shipped Workspace Collaboration features (team invites, approvals), achieving 18.4% adoption among active accounts within 45 days

• Introduced reverse free trial across US & Canada cohorts, improving trial-to-paid conversion from 6.9% → 11.7% (+69%) and adding ~$31K ARR in 90 days
• Launched feature-based add-ons, improving ARPU by 18% and contributing ~$51.2K in view-through revenue
• Overhauled pricing architecture with modular, usage-based plans; 78% of paying users upgraded to annual subscriptions

• Designed Amplitude event schema and dashboards, increasing active analytics usage by 28% and accelerating experiment iteration
• Drove SEO and distribution flywheels (AI tool pages), adding 9.1K users, 2.8K trials, and 42% organic traffic growth over 90 days

• Owned product surfaces across onboarding, discovery, and premium conversion for a 1.2M+ MAU consumer fintech platform, partnering with design and engineering on scope and prioritization
• Defined and shipped the iOS onboarding and migration flow, enabling 41K installs in 3 weeks and migrating ~79% of active web users within 14 days
• Owned product definition and rollout of core features (ETF Screener, Signals, SGB Tracker), contributing to ~17% MoM activation lift for newly launched experiences
• Redesigned onboarding and lifecycle flows using usage-based triggers, improving click-to-conversion from 1.1% → 2.3% across high-intent journeys
• Informed pricing and upgrade mechanics through cohort and usage analysis, contributing to a 31% improvement in premium upgrade rate

• Owned onboarding and activation flows for farmer-facing and AI advisory features used by hundreds of thousands of users
• Drove UX and flow-level changes based on 15+ field visits and usability sessions, improving first-week feature usage by 21% and reducing early churn by 12%
• Partnered with Tech PMs to define success events, localization requirements, and rollout sequencing, improving feature adoption by ~27%

• Partnered with product and design to shape onboarding and creation flows for an educator-first SaaS platform scaled to 4M+ users
• Contributed to product-led activation by improving setup flows and in-product guidance, increasing trial signups by 53% and reducing setup drop-offs by 18%

• Design System Bootcamp (2024) — Credential ID: jWpLTWCc
• Global Certificate in Product Management & Product Management Foundation — Accredian (2022) — Credential ID: INDM16953