# Siddharth Shah > Software Developer Location: San Francisco Bay Area, United States Profile: https://flows.cv/siddharthshah Senior Software Engineer on a Staff trajectory, focused on driving business growth through architectural excellence and AI-driven product innovation. My work has delivered significant user and revenue growth at a global scale (Business outcomes): ➡ +7,200 new user sign-ups by slashing p99 page load times by 50%. ➡ $400k+ projected annual revenue from an AI recommendation engine I helped architect and launch. ➡ Onboarded 60,000+ documents with a modernized receipt capture platform and scaled a global tax feature to support tens of millions of monthly interactions. I specialize in architecting complex systems that influence the entire organization (Tech Impact): ➡ Authored key architecture documents and technical evaluations that shaped the org-wide strategy for mobile platforms and shared components. ➡ Led the migration of 400+ micro-frontends to a unified API Gateway, creating the standard pattern adopted across the company. ➡ Drove the adoption of a modern React & TypeScript stack, setting new standards for code quality and performance. » My approach is to bridge product strategy with deep technical execution. I hold myself and my team accountable for quality while understanding the trade-offs needed to ship impactful software by prioritizing between feature impact on users vs tech efforts. ✩ I am seeking a Staff Engineer role focused on solving high-impact architectural challenges in a product-driven environment. Core Tech: AI/LLM & Agent Orchestration, React, TypeScript, API Gateway, Web Performance, Experimentation/A-B Testing, Observability/RUM (Splunk), Playwright, REST/GraphQL, CI/CD. ## Work Experience ### Senior Software Engineer @ Intuit Jan 2022 – Present | San Francisco Bay Area Trajectory: Transitioned from feature ownership to a strategic technical leader, architecting and delivering platform-level AI initiatives and driving modernization efforts cross teams that directly influenced global product strategy and revenue. Impact Summary: AI-first impact — delivered an intelligent report-consolidation agentic solution globally (UK/AU/CA). Also drove global growth and platform modernization: +7,200 sign-ups, ~7,000 upgrades/10 months, 60K+ receipts processed as well as SKU recommender feature which projected at +$400K/yr and +8K conversions. Initiatives: • Generative & Agentic AI: Spearheaded an intelligent report-consolidation assistant reducing manual effort and operational cost; architected backends for competitor onboarding; delivered an AI plan recommender driving measurable revenue growth. • Global Growth at Scale: Led 4 waves of sign-up flow optimization working with global cross-teams, adding +7,200 net-new sign-ups while reducing latency; unified the upgrade flow, enabling ~7,000 upgrades in 10 months (~12/day). • Modernized Core Workflows: Reimagined receipt capture by influencing product owner team (web + QR) with a standardized high-performance list component; 60K+ documents uploaded post-launch. Shipped international tax-selection modernization supporting tens of millions of monthly interactions. • Reliability & Operational Excellence: Built observability dashboards, improved RUM metrics, and expanded Playwright automation to cut regressions and time-to-detect. • Leadership & Influence: Directed 7 developers + 2 QA to 50+ PRs in four months; raised review standards and created onboarding guides. Stack: React, TypeScript, Web Performance, Experimentation/A-B Testing, LLM/Agent Orchestration, REST/GraphQL, Observability/RUM, CI/CD, Cursor, AI tools, Langgraph, Analytics libraries, Splunk ### Software Developer II @ Intuit Jan 2018 – Jan 2022 Trajectory: Evolved from core contributor to project lead, mastering complex systems and driving modernization efforts that improved user experience, developer productivity, and business-critical metrics. Impact Summary: Integrated ML-powered categorization APIs, lifting automation by +17.7%, review rates by +11%, and auto-add rules by 200%. Key contributor to a UI rewrite that reduced codebase by ~140K LOC, cut load times from 20s → 9s, and increased transaction review rates by 18%. Also led platform migrations and tooling upgrades that boosted productivity and reliability. Initiatives: • AI/ML Adoption & Integration: Collaborated with the ML team to identify impactful features from banking data and integrated their APIs into production. Delivered a category suggestion engine that improved automation and review efficiency for new users. • UI Modernization: Served as a key developer in a large-scale banking UI rewrite (Dojo → React/Redux/TypeScript), achieving >99% test coverage, shrinking codebase size, improving performance, and enhancing usability. • Platform Scalability: Directed the migration of six modules to a modern sandbox ahead of schedule, establishing standards later adopted org-wide. Spearheaded a CLI tooling migration, reducing build times by 80%+ and enabling forward compatibility. • Reliability & Incident Management: Owned and resolved multiple RCAs in core banking applications, adding guardrails and strengthening system reliability. • Mentorship & Growth: Onboarded and mentored a summer intern, providing guidance on React/Redux fundamentals and execution planning, accelerating their delivery and technical growth. Stack / keywords: React, Redux, TypeScript, Performance Profiling, Testing Strategy, Build Tooling, API Integration, Analytics, Reliability/RCAs ### Intern @ F5 Networks Jan 2017 – Jan 2017 | San Francisco Bay Area Worked as Web Services developer on Big-IQ management which is used to collect data from F5’s ADCs (known as Big-IPs) and provide rich reporting interface to the clients. These improvements will be impacting thousands of clients in better decision making while improving F5's market share in this domain. Summary of work: • Implemented interactive UI using JavaScript, AngularJS (ES6) and React.js. • Designed Elastic Search Documents to be accessed by Web-Services. Parsed data in UI using elastic.js JavaScript libraries. • Designed and coded modular charts (like bar, pie, line, etc) using d3.js. Provided drill-down capabilities to each chart using JavaScript for user accessibility. • Discovered and fixed unidentified existing bugs while new development. • Debugged thousands of lines of javascript code developed over 4 years to solve reported bugs on the reports. • Understood the functionality of the existing products and fixed small bugs before starting with major changes. • Obtained proficiency in JavaScript (ES6) and Advanced AngularJS concepts and coding practices. ### Intern - Full-Stack Developer @ CME Group Jan 2016 – Jan 2016 | Greater Chicago Area Worked as Full-Stack (Back-end logic and Web Services mainly) developer on Admin Dashboard to provide administrative functions for CME's new instant messaging platform. This stand-alone SOA based application helped to manage all administrative functions to CME internal users and external clients. Summary of work: ■ Obtained proficiency in Agile and SCRUM practices. ■ Obtained proficiency in Angular and JAVA Rest API development. ■ Designed project structure from scratch for responsive, interactive, maven application on the top of Tomcat server. TECHNOLOGIES: AngularJs, Java, SpringBoot, SQL Server, Redis. ■ Implemented robust entry point validations in Java to avoid any authentication violations and data manipulations from front-end. ■ Created various JAVA based Web-Services using SpringBoot and Rest API calls for admin functionalities like Manage Users, Manage Sessions, Activate Maintainance mode, etc. ■ Provided user interface (view) with Angular, Bootstrap, Spring for existing chat application (API). ■ Integrated Web Services with the repository (used SQL Server and Redis) calls from back-end. ■ Provided continuous integration and deliveries with project builds using Bamboo automation and releases with Chef cookbook and recipes. ■ Code testing with unit test case and integration test case using JUnit and functional testing (exit-point testing) with Cucumber test cases and feature files. ■ Increased productivity with collaboration with Git/Stash and agile development. ■ Actively participated in monthly sprint planning and reporting daily updates on JIRA stories during morning stand-ups. ### Software Engineer @ Tata Consultancy Services Jan 2013 – Jan 2015 | Pune Area, India Worked with client BestBuy in the retail domain to provide Intelligence from data collected over past years. Provided 3 essential services over the period of 15 months. Analytics provided with these services assisted BestBuy with their sales strategies for holiday seasons and improved overall sales for the years 2014 and 2015. Summary of work: ■ Got proficiency with JAVA, SQL and Enterprise Data Warehousing. ■ Worked with architects to design 6 stage ETL workflows to process millions of transactional data and build data-warehouse. Implemented using SSMS with SQL and T-SQL. ■ Fine-tuned Data Mart insertion and update efficiency by reducing >75% query run-time. Optimization techniques included 3 union insertion, create statistics implementation, package partition, and partition swap. ■ Automation of ETL test workflows with JAVA. ■ Provided timely and accurate maintenance to the deployed project to the customers, resulting in >94% Customer Satisfaction Index (CSI). ■ Owned and designed principle Master Data Management architect role. Later became SME for the same. ■ Provided detailed documentation of the architecture and code work-flow for engineers going to take over my tasks including 3 demos. ## Contact & Social - LinkedIn: https://linkedin.com/in/siddharth091 --- Source: https://flows.cv/siddharthshah JSON Resume: https://flows.cv/siddharthshah/resume.json Last updated: 2026-03-22