Ambiguity to Action — Through Design.

Hello! I am Abhi. I help transform complex products and abstract ideas into scalable and desirable products.

At Google, I am leading the vision of AI-charged experiences for advertiser platforms used by millions — and I’m excited about how AI and design are reshaping the way we solve problems.

Current: Google Ads - AI & Performance

Role: Sr. Interaction Designer

Location: Mountain View, CA

AK

Scroll down

〰️

Selected work

〰️

2018 - present

〰️

Scroll down 〰️ Selected work 〰️ 2018 - present 〰️

SEARCH ADS 360

AI - powered Unified campaign management

Context: Enterprise advertisers struggled with fragmented Ad creation workflows across platforms.

Challenge: How might we streamline complex, multi-engine/channel campaign management?

My Role: Lead designer across core surfaces; drove cross-functional strategy with PM, ENG and UX research partners.

Timelines: Dec 2021 - present, totaling 4 projects.

Press release: Google Marketing Live 2024: Your roundup of Google Marketing Platform announcements

Highlights:

  • Led 0→1 design of bulk workflows with embedded LLM based AI suggestions.

  • Validated research with agency users across Americas and APAC.

  • Introduced modular UI for customizing cross-platform flows.

Impact:

  • Reduced setup time by 42%

  • Increased repeat usage by 30% over 6 months

  • Adopted by all global accounts managing $XBn+ in spend

Google ADS

Building Trust in Google’s AD Policy

Challenge: Google Ads serves millions of advertisers, but increasing complexity in ad policies led to frequent violations, repeat offenders, and confusion — eroding user trust and increasing support load.

My Role: Led end-to-end UX for policy enforcement, driving strategy through cross-functional workshops with legal, policy, support, ENG, PM and research teams to prioritize clarity and self-service.

Timelines: July 2018 - Nov 2021, totaling 3 projects.

Outcome: These solutions turned policy from a black-box penalty engine into a transparent system advertisers could trust and navigate confidently — supporting both platform integrity and user retention.

Press release:

Highlights:

  • Designed scalable patterns for repeat offender handling and violation resolution.

  • Enabled advertisers to clearly see what policy was violated, why, and how to fix it.

  • Introduced a tiered warning system to encourage self-correction before penalties.

Impact:

  • Decreased customer churn (XX%)

  • Improved CSAT with support interactions (XX pts)

  • Reduced repeat violations significantly

  • Boosted advertiser trust in policy fairness

Google Ads

Empowering USERS with Data & Automation Transparency

Challenge: Advertisers relied on automation but lacked visibility, leading to frustration and reduced trust.

My Role: I co-led UX partnering with PMs, Data Scientists, and Researchers to simplify complex systems through clear journeys, data visualizations and delightful insights.

Timelines: July 2018 - Nov 2021, totaling ~10 projects.

Outcome: Together, these tools gave advertisers more control, more clarity, and more time back. By turning fragmented data into actionable insights — and making automation explainable — we helped users not just “manage,” but make smarter decisions.

Press release:

Highlights:

  • Google Ads home page: Designed modular card framework to show campaign health, insights, billing, and recommendations.

  • Report Editor 2.0: Created a unified reporting interface that also served 10+ Google products like SA360, DV360, Waymo etc.

  • Explanations Tool: Delivered AI-powered narratives with charts and CTAs that explained fluctuations in performance and automated changes.

Impact:

  • +21% increase in reporting tool usage

  • Strong Q/Q retention growth

  • 80% CSAT for Explanations feature

  • 13% reduction in diagnostic support contacts

  • Adopted by over 50% of advertisers (by spend)

Nothing can beat listening directly from the customers - start watching from 1:29s. Video credits: Benjamin from LoveData YT channel