Mandar Majalgaonkar — Software Engineer

👨🏻‍💻 Software Engineer with hands‑on experience across wearable tech, frontend engineering, cloud platforms, and large‑scale QA. I specialize in building high‑performance React.js applications, designing end‑to‑end test strategies, and delivering reliable, scalable products through strong engineering fundamentals and cross‑functional collaboration. What I bring:- 🥽 Engineering experience on Meta’s HUD Smart Glasses, developing React.js UI components optimized for micro‑display hardware, low‑power rendering, and gesture‑friendly interactions contributing directly to next‑gen wearable experiences. ⚛️ Built 5+ core React.js utilities for Meta’s HUD ecosystem, improving UI consistency, developer velocity, and real‑time rendering performance across wearable interfaces. 🔐 Developed secure Meta account login & authentication flows, ensuring seamless onboarding and privacy‑focused access on resource‑constrained devices. 🧪 Designed and executed 1000+ test cases across UI, API, integration, and performance workflows—achieving 100% coverage for HUD features and reducing post‑launch defects. 📱 Validated end‑to‑end user journeys, collaborating with Product, UX, and Engineering teams to ensure feature readiness, edge‑case handling, and system‑level reliability. 🔍 Strong test strategy expertise creating test plans, regression suites, and scenario matrices based on functional, business, and technical requirements. 🧑‍🔬 Research QA experience at Binghamton University, authoring 500+ test cases, validating React.js features, and improving automation workflows using Selenium. ☁️ Cloud & backend engineering foundation with AWS, Azure, Java Spring Boot, ASP.NET Core, Kubernetes, Docker, CosmosDB, and CI/CD pipelines bringing an engineering‑first mindset to quality and development. 🐞 Strong defect management—triaging, logging, verifying, and supporting rapid fixes across pre‑production and production environments. 📊 Data‑driven testing mindset, using metrics, coverage reports, and risk analysis to prioritize testing and improve release confidence. 🤝 Highly collaborative, working closely with cross‑functional teams to align requirements, clarify edge cases, and ensure smooth delivery across engineering pipelines. 🌟 Passionate about building reliable products, improving development cycles, and driving engineering excellence through thoughtful testing, scalable architecture, and clean, maintainable code.

Stackforce AI infers this person is a Full-Stack Software Engineer specializing in Wearable Technology and Cloud Solutions.

Location: Redmond, Washington, United States

Experience: 1 yr