// about
Vrushabh Jambhulkar
Senior Software Engineer — AI Product Engineering
Senior Software Engineer at Coinbase focused on building AI-native products, platform infrastructure, and developer tooling at scale. Over the past several years, I have evolved from mobile and web application development into platform architecture, AI-powered workflows, and cross-functional technical leadership.
My work spans frontend systems, backend-integrated platforms, agent-based workflows, MCP integrations, evaluation frameworks, experimentation systems, and large-scale product experiences used across Coinbase. Most recently, I architected and helped build a company-wide content operations platform that combines schema-driven UI generation, AI agents, tool orchestration, analytics, experimentation, and content management into a unified workflow.
// experience
- —Architected and led development of a company-wide content operations platform powering critical growth, content, and experimentation workflows across Coinbase.
- —Designed a schema-driven rendering framework enabling backend-agnostic UI generation and reducing frontend release dependencies.
- —Built AI-powered workflows integrating agents, MCPs, tool orchestration, analytics, eligibility management, and content operations into a unified platform.
- —Led platform adoption across multiple teams, achieving 105 MAU, 26.7K+ page views, 60% fewer incidents, and 4 hours lower weekly support burden.
- —Drove Retail Client Quality initiatives across high-traffic user journeys, reducing RN non-blocking errors by 41%, web errors by 52%, and Android/iOS parity issues by 77.6%.
- —Led development of Coinbase's dynamic content and growth experiences across web and mobile platforms.
- —Architected and launched the Onchain Summer experience, driving 110M impressions, 1.3M clicks, and 6K+ NFT mints.
- —Authored foundational platform architecture for Presentation Service adoption and dynamic page composition across Coinbase web surfaces.
- —Built backend-driven UI controls and operational tooling that improved incident response and reduced dependency on code deployments.
- —Mentored engineers and interns while driving cross-functional delivery across engineering, product, design, and content teams.
- —Built and shipped consumer-facing mobile experiences using React Native, GraphQL, and experimentation frameworks.
- —Contributed to Feed, Home, and trading experiences, helping drive significant increases in user engagement and retention.
- —Implemented experimentation and analytics systems to support data-driven product decisions.
- —Participated in incident response, production debugging, and platform reliability initiatives.
- —Revamped trade flows to optimize performance, reducing trading errors by 25%.
- —Retrofitted websocket streaming architecture to enable real-time data streaming in the Android app.
- —Modified Espresso and Mockito test suites to reduce CI/CD build failures by 50%.
- —Led Android development and software architecture across social networking, e-commerce, and entertainment apps shipped on Android, iOS, and web.
- —Managed client requirements and engineering delivery end-to-end across a multi-platform product portfolio.
- —Implemented custom maps, real-time data, user auth, and dynamic UI systems from scratch as the founding technical lead.
- —Developed and maintained two Android applications with a combined user base of 30,000+.
- —Collaborated with backend team to optimize database algorithms, reducing API response time by 75%.
- —Partnered with design to architect improved UI systems, measurably increasing user engagement.
- —Served as Google Facilitator for the Applied CS with Android program at NIT Calicut.
- —Conducted workshops on Data Structures & Algorithms through hands-on Android app development.
- —Bridged Google's engineering education curriculum with students pursuing CS degrees.
// skills
AI & Agents
Languages
Frontend
Mobile
Backend & Data
Cloud & DevOps
Testing
Platform & Leadership
// education
GPA: 4.0 / 4.0
- —Courses: Software Management, Software Analysis & Design, Statistical Machine Learning, Data Mining, Human Computer Interaction, Data Visualization, Mobile Computing, Semantic Web Mining, Distributed Database Systems.
- —Student Volunteer at iLUX lab.
GPA: 3.3 / 4.0
- —Google Facilitator for the Applied CS with Android program at NIT Calicut.
- —Lead Android Developer, College App Team.
- —Member of the Computer Science and Engineering Association (CSEA).
- —Member of College Web Design Team.
// projects
AI companion pendant
A wearable pendant (ESP32-S3 circular AMOLED) with camera, mic, and speaker, driven by parametric commands from a cloud backend — an expressive animated face with emotional presence.
Ambient stock & crypto dashboard
A single-owner ambient dashboard that cycles through full-screen slides — price charts, sector heatmaps, market movers, MACD signals — built to run 24/7 on an always-on display with server-side caching and multi-provider fallback.
A multi-step agent that plans, cites its sources, and grades its own work
A LangGraph multi-agent system that generates PRDs, user stories, experiment designs, architecture reviews, and roadmaps — a supervisor routes into a PRD agent, three sub-agents fan out in parallel once the PRD exists, and a roadmap agent joins their outputs. Grounded in two real MCP servers (pgvector docs search, live GitHub stats), with rate limiting, durable run traces, and a bias-checked eval harness.
// blog
A production agent leaked a promotion to users outside its target group with every eval green. What that taught me about the gap between a valid artifact and a correct outcome — and the three layers of containment we built around it.
// contact
Let's build something
Open to conversations about AI product engineering, agent systems, and platform work. Reach out any time.