ANIMISH VALUNJKAR

San Jose,CA

Summary

Staff-level Partner Solutions Engineer and Solutions Architect specializing in Ads platforms, AI-driven systems, and large-scale data workflows. Proven track record of driving $50M+ revenue impact, leading cross-functional initiatives, and architecting end-to-end systems that power partner ecosystems and measurement platforms.

Overview

years of professional experience

Work History

Senior Partner Solutions Engineer / Solutions Architect

09.2021 - Current

Architected end-to-end platform solutions enabling third-party integrations, driving $50M+ in advertiser revenue.
Led a cross-functional initiative across 15+ teams to evolve 300+ APIs to a versioned architecture, improving scalability and long-term platform maintainability.
Designed large-scale data pipelines and event-processing systems supporting conversion tracking, attribution, and partner data ingestion workflows.
Built server-side event-forwarding systems to improve measurement accuracy and support reliable advertiser integrations.
Designed AI-assisted engineering workflows using Claude to automate development and integration tasks, reducing delivery cycles from 30 days to 7 days, a roughly 75% acceleration.
Developed ML-based identity resolution systems, improving anonymous-to-user match accuracy from 55% to 63%.
Partnered with product, infrastructure, ML, and external stakeholders to define roadmap priorities and deliver scalable platform capabilities.
Automated API provisioning and onboarding workflows, reducing partner integration time from 20 days to 7 days.

Solutions Architect

Amazon

10.2020 - 08.2021

Designed scalable cloud architectures for 20+ enterprise Media and Entertainment customers.
Improved customer ROI by approximately 20% through performance optimization and cost-efficient system design.
Acted as a trusted technical advisor, influencing architecture decisions across customer organizations.

Senior Partner Engineer

Branch

01.2019 - 09.2020

Architected integration solutions for 30+ enterprise clients across attribution and deep-linking platforms.
Improved data workflows and onboarding pipelines through automation, cleanup, and system optimization.

Partner Engineer, Firebase

Google

11.2014 - 06.2018

Led SDK adoption and testing strategy across 50+ APIs and multiple Firebase product lines.
Built large-scale analytics pipelines and developed ML-based prediction systems using TensorFlow.
Contributed to scalable, privacy-conscious data architecture and governance systems.

Android Software Engineer

PayPal

12.2013 - 10.2014

Built an Android SDK enabling scalable location-based payment systems across retail environments influencing 75M spread across 1000+ Point of Sale.

Education

Master of Science - Computer Science

San Francisco State University

San Francisco, CA

12.2013

Skills

Solution Architecture Ads and Measurement Systems Conversion APIs Attribution and Identity AI/LLM Automation (Claude) Data Pipelines and Event Processing Distributed Systems API Ecosystems AWS GCP Strategic leadership Operational Excellence Forward Deployment Java Python

Timeline