Shaik Sushmitha riyaz

Full-Stack Developer with 3+ years of experience building scalable web and mobile applications using .NET Core / ASP.NET Core, C#, and React.js on production systems at TCS, including a dedicated retail-domain client engagement. Comfortable across the stack — from responsive front-ends and RESTful API design to relational database design (SQL Server) and backend services in .NET Core — with hands-on experience in Azure RAG pipelines, generative AI features, and LLM-driven recommendations shipped to real end users. Strong track record of writing clean, maintainable, and performant code, debugging across the full stack, conducting code reviews, and delivering in Agile/Scrum sprint cycles.

Software Engineer at Tata Consultancy Services (TCS) (2023-08 – Present)

Agile Delivery · Full-Stack Web & Mobile · Azure AI

• ALDI (Retail Client Engagement) — Sep 2023 to Jul 2024: Worked on.NET and.NET MAUI applications for a retail-domain client, optimizing existing code for better performance and resolving a wide range of issues, including functional bugs, UI/UX inconsistencies, performance bottlenecks, data synchronization errors, integration failures, and application crashes.
• Improved application responsiveness and stability by profiling and refactoring performance-critical modules, reducing bug backlog and improving release quality through structured triage and root-cause analysis.
• Retail Strategic Innovation — Contributed to the design and development of a suite of AI-powered retail products spanning web and mobile, from UI architecture through REST API integration to Azure OpenAI prompt design and production deployment
• Smart Cart (React.js, Azure RAG, Voice AI): Built the complete React.js front-end for an AI-powered grocery cart with Azure RAG-based real-time voice-driven aisle navigation, reducing product-search time by ~40% in user testing, plus conversational product suggestions and personalised dietary recommendations.
• GroceryMate (.NET MAUI,.NET Core, Azure OpenAI, MVVM): Delivered an end-to-end mobile app with LLM-backed recipe suggestions from text prompts, grocery images, and purchase history; built.NET Core backend APIs and integrated barcode scanning, allergen comparison, and analytics dashboards, serving active users in production.
• DigitalWardrobe (.NET MAUI,.NET Core, Azure OpenAI, MVVM): Built a Gen AI-powered wardrobe management app with.NET Core backend APIs powering outfit suggestions, similar-item recommendations, and colour detection.
• Smart Table (React.js, Azure RAG): Designed and developed the full React.js UI for a smart grocery tracking platform with voice-based recipe suggestions powered by Azure RAG.
• Wine Sommelier (React.js, CMS): Built an AI-powered interactive retail display with dynamic CMS-driven wine recommendations, architected to scale across retail, restaurant, and D2C environments.
• Developed and consumed RESTful APIs across web, mobile, and AI projects, collaborating with backend teams to optimize data flow and reduce latency.
• Designed responsive, accessible interfaces with TailwindCSS and contributed to UI testing and QA within fast-paced Agile sprint cycles.

B.Tech in Computer Science Engineering – Andhra Loyola Institute of Engineering and Technology (2019 – 2023)