[ RESUME ]
The Full picture
Doubled GMV at a seed-stage B2B marketplace, then led product on a consumer iOS app that drew 240 organic downloads at an 18% App Store conversion rate. CSPO certified, MS in Management of Technology at ASU. Here's everything in one place.
2×
Monthly GMV · IKT
25 → 40%
Gross margin · IKT
18%
Aatram App Store CVR
240
Organic downloads
[ 01/05 ][ EXPERIENCE ]
Co-Founder
Aatram
Nov 2025 – May 20266 mo
- Co-founded Aatram with two friends; shipped V1 to App Store in 7 days of intensive build, followed by a V2 anti-interruption rewrite now live, free, bootstrapped, and built without ad spend
- Drove the organic launch to 240 first-time downloads at an 18% App Store conversion rate in the first four months, entirely through LinkedIn, Instagram, and X content with zero ad spend
- Shipped across 158 commits with a 3-person team on SwiftUI, SwiftData, Supabase, and Apple Foundation Models while owning UI/UX, brand voice, an 18-component design system with hex-locked tokens, motion language, and aatram.com end-to-end
- Ran a 25-user closed beta and 16 archetype interviews that drove V2 priorities: killed Plan Mode after Google Calendar overlap surfaced, encoded "no leaderboards" at the schema level so ranking is a compile-time impossibility, and chose stopwatch over countdown because deadlines increase dread for avoidance-prone users
- Specced an on-device AI nudge engine on Apple Foundation Models with the Intelligent Notification Engine (up to 5 escalating touches per task, tuned in a 25-user beta), PredictiveEngine (abandonment-risk detection above 0.7), and UrgencyScorer; task content never leaves the device by structural type constraint
- Drove the pre-submission audit closing 22 findings; shepherded build 3 through App Review with screen-recording proof for guideline 5.1.1(v); owned PostHog instrumentation across session, drop-off, retention, and onboarding funnel surfaces
Product & Growth
IKT India / Hyderabad, India
May 2023 – Aug 20241 yr 3 mo
- Ran product & growth at a 15–20 person seed-stage B2B marketplace for handloom and sustainable clothing brands across India, owning vendor-side product surfaces and partnering directly with the founders on quarterly roadmap
- Designed and ran a concurrent A/B test on 50 SKUs with price floors against a matched control cohort, scaled the winner to 500+ SKUs, lifting gross margin from 25% to 40% and doubling monthly GMV
- Cut seller onboarding from 3 days to 6 hours via verification automation, doubling first-listing rate from 30% to 60%; grew the active vendor base from 20 to 35+
- Built a SQL + Mixpanel seller-health dashboard with 7-day inactivity triggers and re-engagement workflows, lifting 60-day vendor retention by 20 percentage points
- Authored PRDs and ran 2-week Scrum sprints with a 4-engineer team; owned weekly CAC, GMV, and gross-margin reporting in SQL that drove leadership’s pricing pivot from cost-plus to floor-based
[ 02/05 ][ PROJECTS ]
Strategic Product Teardown: Notion's Activation Paradox
Product Strategy / Activation
- Ran 10 qualitative interviews across 5 user segments triangulated with G2, Trustpilot, Reddit r/Notion, and Hacker News review data; identified an activation gap where 8 of 10 interviewees learned core product value from YouTube rather than in-product onboarding, mapped the AARRR funnel, and proposed 5 RICE-scored fixes for 90-day activation lift
- Coined the “workspace decay” concept framing AI agents as workspace stewards rather than setup accelerators; applied Strategy Choice Cascade to translate findings into a defensible product recommendation
FrictionLens: AI Review Intelligence Tool
AI / Product & Design
- Shipped an AI review analyzer (Next.js, TypeScript, Supabase, Google Gemini) by directing AI development tools, ingesting App Store, Play Store, Reddit, and CSV reviews into a single Vibe Report with BYOK and AES-256-GCM per-user key encryption
- Designed a 3-tier rule-based classifier routing short reviews through keyword + star rules, medium through keyword sentiment, and long batches to Gemini with Zod-validated structured outputs to stay within free-tier API cost curves
kizu: A Private Group Taste Space
Consumer / AI-Native Build
- Conceived, designed, and shipped a live invite-only consumer web app for private friend-group recommendations: 28 users across 4 active friend groups, grown purely by word of mouth with zero marketing, at $0 infrastructure cost. Built solo by directing AI development tools through 67 reviewed pull requests on Next.js 16, TypeScript, and Supabase
- Cut page loads from 1 to 2.5 seconds down to roughly 200ms by root-causing cross-region latency; ran two-viewport Playwright QA on every UI change and a SQL save-to-verdict funnel analysis (self-chosen 67% vs auto-inserted 12%) that killed a planned feature and redirected the roadmap
[ 03/05 ][ EDUCATION ]
Graduate
M.S. in Management of Technology
Arizona State University
Aug 2024 – May 2026
Undergraduate
B.Tech in Electrical & Electronics Engineering
Malla Reddy Engineering College (JNTU Hyderabad)
2020 – 2023[ 04/05 ][ SKILLS ]
Analytics & Data
SQLPythonMixpanelPostHogGoogle AnalyticsExcelPower BI
AI / ML
Apple Foundation ModelsGoogle GeminiOpenAI APIStructured Outputs (Zod)On-Device AIBehavioral Pattern Detection
Methods
Agile/ScrumA/B TestingUser ResearchJobs-to-be-DonePRDsRICECohort AnalysisStatistical TestingHeuristic EvaluationTAM/SAM/SOM
Design & Build
UI/UXDesign SystemsDesign TokensBrand VoiceMotionTypeScriptNext.jsReactTailwindSwiftUISupabase
Tools
FigmaNotionJiraConfluenceRetool
Languages
English (fluent)Telugu (native)Hindi (conversational)
[ 05/05 ][ CERTIFICATIONS ]
Certified Scrum Product Owner (CSPO) · Scrum Alliance
Digital Product Management · University of Virginia (Coursera)
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