I design, ship and iterate software with clear metrics. Recent work spans consumer apps, IoT, and enterprise platforms.
At a Glance
β’ B.S. Computer Engineering β UC Santa Cruz
β’ Technology Analyst @ Wells Fargo (SWE)
β’ Focus: Product strategy, APIs, AI features, mobile
β’ Strengths: user research, KPIs, execution
Featured
SaaS Β· Mobile-first Β· MVP
HavenHOA β Community SaaS
Mobile-first platform for HOA communities: payments, announcements, documents, and governance.
Interviewed 15+ users; defined MVP and role-based access.
Set adoption KPIs (sign-ups, churn, admin engagement); GTM via HOA boards.
Competitive review of 5+ tools β differentiated UX and admin workflows.
Highlights
β’ Role-based access (board/admin/resident)
β’ Announcements & documents
β’ Payments & governance roadmap
β’ User-research driven MVP
SmartFeedr β Automated Pet Feeder
IoT feeder with real-time control, dual-camera monitoring, and automated discard logic that reduced food waste by
75% . Built with Python, Flask, Firebase, AWS, REST APIs.
Defined KPIs (uptime, adoption, waste reduction) and iterated after live demos.
Mobile-first interface; validated usability with pet owners; travel-friendly design.
Mood Lift β AI-powered Music & Journaling
Recommends Spotify playlists by mood and generates personalized journaling prompts with OpenAI.
Ran interviews; iterated features; +20% re-engagement via notifications + sequencing.
Built with React Native, Firebase auth/DB, Spotify & OpenAI APIs.
React Native
Firebase
Spotify API
Experience
Wells Fargo β Technology Analyst
Jul 2024 β Present Β· San Francisco, CA
Implemented Apigee; improved scalability and cut integration onboarding time by 30%.
Modernized Java/Spring Boot services; reduced incidents and improved stability for 10K+ daily users.
Mentor & community builder: selected 1 of 5 (of 180 analysts) to organize professional development events.
Wells Fargo β Technology Intern
Jun 2023 β Aug 2023 Β· Fremont, CA
Shipped a portal aggregating 20+ microservices; reduced employee access time by 40%.
Introduced GraphQL; cut redundant calls by 30%; usage analytics drove prioritization.
Delivered 10+ user-facing features across two releases in Agile sprints.
Wells Fargo β Technology Intern
Jun 2022 β Aug 2022 Β· Charlotte, NC
Automated reporting for 1,000+ batch jobs; reduced incident resolution time by 25%.
Co-designed schemas with data/product teams; improved analytics accuracy for reporting.
Validated pipelines with SQL to ensure clean, decision-grade reporting.
Β© Sriharsha Maddala
Built with Tailwind Β· Dark-mode ready