Aug 2023 – Aug 2024 · 1 yr · North Carolina, United States · Hybrid

• → Led Google Meet Add‑ons SDK from alpha to global GA across Web/Android/iOS, setting vision and roadmap for cross‑platform parity at 100M+ DAU; increased US daily add‑on usage from ~15% to ~30% during Alpha → Developer Preview and launched 6 add‑ons pre‑GA.
• → Defined platform/SDK strategy and prioritized high‑value collaboration scenarios—MainStage co‑creation (Figma/Miro), co‑watch (YouTube), synchronized listening (Spotify)—plus Samsung integrations to expand consumer use cases and differentiate vs. FaceTime/Messenger.
• → Applied decisive prioritization to resolve schedule and parity risks—sequencing scope, aligning platform pods, and securing interim support—resulting in the first three‑platform dogfood in 3 years and an on‑time GA.
• → Set clear product quality bars to elevate performance and reliability at scale—faster add‑on start, lighter SDK footprint, resilient error/crash handling—improving engagement and launch readiness across iOS/Android/Web.
• → Built developer experience and GTM end‑to‑end—alpha (10 marquee partners) → Developer Preview (~50 US developers) → GA—with Workspace Marketplace publishing, release/migration guides, sample apps, and weekly office hours; de‑risked ecosystem readiness and shipped 6 new add‑ons in Developer Preview.
• → Operationalized cross‑functional execution and communications—pod‑based delivery, bi‑weekly xFN forums (25+ attendees), weekly partner syncs, weekly wins/misses newsletter, and monthly VP readouts—accelerating decisions and maintaining executive alignment.
• → Led consumer platform strategy for education and family use cases—targeting education and kids gaming partners and supporting the Duo → Meet transition by replacing lightweight features with immersive add‑ons for kids and adults—broadening consumer relevance and ecosystem growth.

Jul 2022 – Aug 2023 · 1 yr 1 mo

• → Owned product strategy, PRFAQ, and roadmap for a global ML recommender within Amazon’s employee recognition platform—addressing a critical engagement and retention gap at operations scale (32K managers; 1.5M+ associates across ~84% of sites in 19 countries); standardized manager workflows and elevated recognition as a measurable lever for sentiment and attrition.
• → Defined KPI architecture and model governance (CTR, coverage, acceptance, satisfaction; precision, recall, F1, NDCG), operationalizing offline/online experimentation, A/B testing, and drift monitoring to sustain relevance and adoption.
• → Strategized, prioritized, and launched a rule-based ML recommendation engine using operational signals (attendance, training participation, peer recognition, manager feedback) mapped to Leadership Principles; embedded responsible ML with fairness, bias mitigation, and data privacy guardrails.
• → Optimized end-to-end performance—moving CTR from a 60% baseline toward an 80% target and expanding coverage from ~4% toward a 10–20% goal—while sustaining ~60% acceptance; instituted weekly reviews and experiment governance for stakeholder alignment and go-to-market decisions.
• → Validated impact with randomized A/B tests across manager segments, delivering statistically significant uplifts (2.6–22.3pp) in target outcomes and a 20% increase in employee satisfaction; reduced recognition bias by standardizing decision criteria and helping managers discover overlooked associates.
• → Scaled internationally with privacy-first adaptations—localized inputs for Canada, UK, and EU; established cross-regional performance and fairness reviews to maintain relevance, compliance, and trust; achieved 1M+ recognition moments in six months (~25% ML-originated) and facilitated 4M+ manager–associate conversations.

Mar 2021 – Jul 2022 · 1 yr 4 mos · remote

• →Launched small-dollar donation subscriptions from painted-door experimentation to pilot to U.S.-wide rollout, partnering with Legal and Finance on compliant terms and messaging; drove $2M+ recurring revenue, +18% donor LTV, and +26% monthly active contributors.
• →Launched an in-house, compliant sweepstakes drawing system by defining requirements, leading a pod (1 UX, 3 Eng), and securing gaming approvals; retired a third-party vendor and reduced annual costs by ~£/$100K while improving auditability and control.
• →Scaled an Optimizely experimentation program by designing 5–6 A/B tests (homepage revamp, checkout bundling), instrumenting KPIs, and operationalizing decision rules; lifted landing-to-checkout CTR by ~20% and increased annual donation volume by ~5%.
• →Led UK market launch by localizing product (GBP pricing, UK NGOs, positioning) on Shopify and aligning with GDPR; exceeded first-campaign target by ~20% and raised low-seven-figure donations within two months.

Jun 2020 – Aug 2020 · 2 mos · New Jersey, United States

• → Led discovery for an open creator marketplace, translating interviews and market signals into product pillars, customer journeys, and a clear product strategy.
• → Co-authored the 2023 Creator Portal vision, outlining MVP scope, success metrics/KPIs, and north-star outcomes for leadership stakeholders; informed prioritization and roadmap planning.
• → Orchestrated cross-functional alignment with engineering, data science, and design to build the MVP shortlist, apply a prioritization framework, and sequence a phased product roadmap toward an ~18-month launch.

Jan 2020 – Apr 2020 · 3 mos · Mountain View

• → Facilitated discovery workshops and user walkthroughs to define the MVP scope for an e‑concierge within the Emirates app; produced wireframes, PRDs, and demo assets.
• → Presented findings and recommendations to senior stakeholders, shaping prioritization and handoff to the implementation team.

Oct 2017 – Jul 2019 · 1 yr 9 mos · Bengaluru Area, India

• → Helped take ColorTokens from stealth to market validation by co-leading the Forever 21 POC with Sales/Sales Engineering, demonstrating demand for Zero Trust microsegmentation.
• →Accelerated PoC velocity by supporting Product to enable OAuth-based cloud trials on a multi-tenant, Kubernetes SaaS—eliminating on‑prem installs and shortening setup from weeks to days.
• →Supported additional enterprise POCs across healthcare, education, and banking; translated field feedback into prioritized enterprise-readiness improvements and sales enablement.
• →Led and mentored two junior engineers delivering customer-facing observability and threat detection dashboards used in executive demos and PoC success criteria.
• →Recognized with a quarterly employee award and regularly briefed internal executives on PoC status, risks, and next-step recommendations.

Oct 2014 – Oct 2018 · 4 yrs · gurgaon

• → Founding engineer who built and scaled Goibibo’s UGC platform from 0 → 100M+ reviews/Q&A/photos across 5+ verticals, influencing purchase decisions for tens of millions at a market-leading OTA (40–50% share).
• → Shipped hotel reviews MVP in 6 months; reached 100K organic reviews by month 12; engineered lifecycle notifications/nudges that increased bookings→reviews conversion by 60%, fueling the UGC flywheel and SEO indexation.
• → Progressed from Software Engineer → Senior Engineer → Product Owner (post-merger) for UGC across Goibibo + MakeMyTrip; led a ~10-person cross-functional team (web/Android/iOS engineers, design, test) with 2 direct reports; owned roadmap, OKRs (UGC volume/coverage/quality), engagement, and moderation SLAs.
• → Launched community Q&A (80% answer rate) and real-time in-stay reviews, lifting NPS by +20 and increasing engagement/retention by ~40%.
• → Re-architected from monolith → microservices and built ML/NLP moderation (incl. Google Cloud Vision) for classification, fraud/spam, and photo hygiene, reducing approval time from ~24h to <2 minutes and enabling reliable scale across brands.
• → Award: Received the 2016 Impact Award for significant business impact—improved NPS and reduced customer grievances by ~40% in a short period by launching in-stay reviews and accelerating triage pipelines that routed low-rating reviews to Customer Support.