# Roohanjyot S. Sidhu Phoenix, AZ • (925) 900-3949 • info@roohan.dev [LinkedIn](https://www.linkedin.com/in/roohanjyot) • [GitHub](https://github.com/roohanjyot) --- ## 🎯 COMPREHENSIVE PROFESSIONAL SUMMARY **Software Engineer:** Performance-driven Software Engineer with 4 years of full-stack engineering and product strategy experience at American Express. Expert in bridging the gap between business strategy and complex engineering reality. Proven track record of leading cross-functional teams, defining robust product lifecycles, and managing technical debt at an enterprise scale. Technically profound in architecting microservices, optimizing GraphQL APIs, and establishing automated CI/CD pipelines, having successfully reduced critical API latency by 80% and FaaS volume by 85%. Highly skilled in translating complex system constraints into clear business value, driving consensus across fragmented organizational silos, and ensuring zero-defect deployments on accelerated multi-PI timelines. --- ## 🛠 CORE COMPETENCIES & TECHNICAL SKILLS ### Product Strategy & Delivery * **Product Management:** Agile/Scrum Methodologies, Backlog Prioritization, Strategic Roadmap Planning, Stakeholder Negotiation, User Story Definition & Slicing, Definition of Readiness (DoR) Metrics. * **Lifecycle Management:** Cross-functional Delivery, Crisis Management, Technical Debt Mitigation, Release Planning, KPI Tracking, Delta Analysis. * **Analytical & Tracking Tools:** OpenSearch (Log Analytics), JIRA, Confluence, Advanced Excel, Tableau. ### Engineering & Architecture * **Languages:** JavaScript (ES6+) (Proficient), Java, Python, SQL (Basic), HTML5, CSS3, Kotlin. * **Frameworks & Libraries:** Node.js, GraphQL, React.js, Spring Boot, Jest, Astro.js. * **Data & Infrastructure:** Docker, GitHub Actions (GHA), AWS, CI/CD Pipelines, MySQL, MongoDB, Cassandra, Sequelize. * **Enterprise Ecosystems & Concepts:** RESTful APIs, Web Services, Microservices Architecture, Function-as-a-Service (FaaS) Optimization, Service-level Tracing, Automated Performance Suites. --- ## 💼 PROFESSIONAL EXPERIENCE ### **American Express** | Phoenix, AZ **Software Engineer I** | *September 2023 – Present* *Promoted to drive major business initiatives spanning multiple themes within the core enterprise platform, balancing high-level architectural optimization with cross-team product delivery.* **Enterprise API Optimization & Architecture Strategy:** * **Core API Refactoring:** Led a comprehensive refactor of business-critical, customer-facing API integrations. Architected a highly performant solution that implemented request batching and eliminated N+1 query patterns. * **Performance & Cost Engineering:** Strategically reduced redundant encrypt-decrypt API consumption, resulting in an **80% reduction in outbound API call latency** and an **85% decrease in encryption-based Function-as-a-Service (FaaS) call volume**. This significantly improved queries across primary product suites. * **Schema Optimization:** Partnered closely with System of Record (SOR) and client platform teams to deliver foundational updates to key enterprise banking initiatives. Pooled multiple fragmented requests into optimized upstream calls, delivering highly performant solutions to vital enterprise schema fields related to user relationships and authorization data. **Cross-Functional Delivery & Stakeholder Management:** * **Accelerated Multi-PI Feature Delivery:** Led the cross-functional delivery of a complex, multi-PI feature, successfully managing the lifecycle from initial concept to deployment in an accelerated 5-week timeframe. Engineered solutions that met aggressive enterprise deadlines without sacrificing code quality. * **Driving Enterprise Consensus:** Facilitated critical alignment for net-new functionality that required extensive negotiation between client-facing teams and the System of Record (SOR). Successfully bridged the gap regarding major data scrubbing constraints on the backend, ensuring a unified business-centric view. * **Crisis Management & Tactical Prioritization:** Exhibited decisive ownership during a critical Q3 2025 enterprise release. Rapidly assessed technical feasibility to balance deployment urgency with strict quality standards, ensuring zero-defect execution and maintaining architectural integrity. **Data-Driven Success Metrics & Platform Observability:** * **Impact Quantification:** Redefined product standards by integrating metric collection directly into the Definition of Readiness for user stories. Ensured baseline platform data was captured *before* development commenced, allowing stakeholders to transparently observe the precise delta and true impact of new features post-launch. * **Continuous High-Volume Contribution:** Delivered 56 PRs in 2025 (a 12% YoY increase), driving consistent growth across the enterprise platform ecosystem. This included 11 platform-centered PRs focused on CI/CD improvements, 9 observability enhancements (service-level tracing and socket timeout visibilities), and multiple quality/performance scoped PRs. * **Long-term KPI Ownership:** Took end-to-end ownership of feature success by utilizing long-term OpenSearch reports and data analytics to drive continuous iteration, proving tangible business value to upper leadership. --- **Junior Engineer** | *May 2022 – September 2023* *Recruited to modernize legacy infrastructure, where I rapidly expanded my scope to initiate the team's first automated testing frameworks and standardize the product deprecation lifecycle.* **Automated Testing Infrastructure & Quality Assurance:** * **Custom Performance Suite Engineering:** Spearheaded the integration of enterprise performance tools with GitHub Actions (GHA). Initiated and built the platform's first fully automated performance testing suite with built-in alerting functionality, covering the top 20 critical queries and addressing long-standing needs for scalable metrics. * **Regression Testing Architecture:** Developed a modular regression testing suite from scratch for reusability across multiple teams. Led the migration of all production-level queries into this new suite, implementing a custom workflow for seamless cross-communication. * **Product Evangelism:** Selected to present at an internal enterprise developer conference on the topic of *"Automating Performance Testing with GHA."* Championed enterprise-first solutions and drove platform-wide adoption of these new QA frameworks. **GraphQL Migration & Platform Modernization:** * **Legacy Modernization:** Modernized legacy architecture by seamlessly migrating 7 RESTful APIs to GraphQL, enhancing data fetching efficiency and standardizing a response compression protocol with the client team that decreased average packet sizes by 11%. * **Core Data Subgraph MVP:** Played a pivotal role in the foundational development of a critical core data subgraph. Contributed over 30 commits across 12 PRs to establish the Minimum Viable Product (MVP), setting up the build environment, test suites, linter, and deployment pipelines leveraging enterprise deployment frameworks and GitHub Actions. * **Full-Stack Feature Development:** Initiated, developed, and delivered 36+ features from the use-case planning phase to deployment. Implemented a brand-new internal client portal built in Astro.js and React.js, enabling client teams to easily traverse the newly built graph. **Product Lifecycle & Deprecation Management:** * **Defining Product Standards:** Identified the absence of a clear process for handling legacy features and conceptualized the "Deprecation Protocol." Played a key role in defining the scope, timeline, and user stories required to build this standard. * **Technical Debt Tracker:** Created a centralized deprecation tracker, standardizing the documentation and reasoning for sunsetting features. Established defined "from" dates to help the product team systematically manage technical debt and track fields nearing the end of their lifecycle. --- ## 🚀 KEY PROJECTS **Shoe Retail Microservice Architecture** | *Full Stack Developer* * **System Design & Scalability:** Designed and scaled the backend of a highly concurrent microservice serving as the backbone for a large-scale shoe retail web application. * **High-Volume Data Handling:** Optimized database schemas to support 10 Million primary records and over 100 Million secondary records, ensuring robust data integrity and low latency response times during high-traffic request periods. --- ## 🎓 EDUCATION **San Jose State University** | San Jose, CA *Bachelor of Science in Information Science and Data Analytics* **Diablo Valley College** | San Ramon, CA *Associate of Science in Computer Science*