Haneet Singh Chhabra

I work closely with product and leadership throughout the feature lifecycle — not only during implementation. This is a core part of how I deliver as a senior Android engineer.

Examples

• Video reviews — self-initiated from discovery: partnered with PM on user stories, aligned vendor (BV) on API behavior, and scoped a 3-sprint Android delivery plan.
• Architecture decision — engaged five teams, documented seven options, and presented recommendation to senior leadership for product data on review pages.
• Creator vs Reviewer Program — identified a product constraint no team owned; designed APIs and aligned both program teams on enforcement.
• Used & refurbished products — Android technical lead coordinating requirements and timelines across backend, web, and product.
• AI image search — partnered with data science and search teams from prototype scoping through Android delivery.

Walmart Shopping App · Reviews & User-Generated Content

Android Performance & Architecture

• Owned reviews UI performance on the item detail page — render time 380ms → 96ms, CPU −72%, dropped frames −73%, jank eliminated on one of Walmart's most-visited Android screens.
• Led variant reviews caching on Android — reduced 1–1.6 billion API calls per day and improved latency ~21% without business impact.
• Migrated reviews from a legacy embedded module to a standalone Android module — zero production regressions, full backward compatibility.
• Architected parallel dashboard data loading on Android with timeout controls, partial-failure handling, and graceful degradation.

Android Features — Owned E2E

• Camera upload and multi-image selection — presigned URL flows, image compression, and direct-to-cloud upload integration on Android.
• Reviewer community and direct camera entry — owned from PM discovery through Android implementation and iOS/web alignment.
• Self-initiated video reviews on Android — vendor API research, multipart upload design, metadata extraction, PoC, and sprint plan.
• GenAI image search prototype — partnered with data science and search teams; vector similarity and on-device model integration on Android (<2s latency).
• Android technical lead for used/refurbished product experiences — coordinated delivery across backend, web, and product teams.

Backend & API (When Features Require It)

• Contributed to GraphQL API orchestration for reviews platform rebuild — resolvers, seller reviews, product sampling, and catalog enrichment.
• Built OpenAPI service clients and integration patterns adopted team-wide; designed Redis caching projected to cut peak backend load ~85%.

Quality, Tooling & Leadership

• Built PixelMind (Android visual regression testing) and release sign-off SOP — both adopted as team standards.
• Sustained 48+ consecutive stable CI runs; led incident response when automation dropped to ~48%.
• Designed A/B experiments with clear success metrics; mentor 2–3 Android engineers on performance and architecture.

As an Android engineer, I don't stop at the Activity layer. I drive features from first conversation to production — partnering with PM, aligning stakeholders, and writing the code myself.

Discover & Align

• Partner with PM on Android feature discovery, epic scoping, feasibility, and sprint planning.
• Coordinate across Android, iOS, web, backend, data science, and vendor teams on scope and timelines.
• Identified Creator Program vs Recognized Reviewer mutual-exclusion gap; designed APIs and cross-team data flow.

Design & Influence

• Own Android technical design — module architecture, performance strategy, feature flags, and cross-platform alignment.
• Evaluated seven approaches across five teams for product data on review pages; briefed 8+ senior stakeholders and drove the adopted path.
• Proactively surfaced cross-team API migration blocker before downstream Android teams were impacted.

Ship & Grow the Team

• Shipped production Android features with zero accessibility defects across multiple releases.
• Mentor 2–3 engineers on Android performance, architecture, and test automation; delegate design reviews across workstreams.