S U Tejas

Flutter engineer focused on AI-native product development, production mobile systems, and workflow-driven application architecture. Experienced in building state-heavy Flutter applications with BLoC and Clean Architecture while integrating AI-assisted workflows, document-centric systems, and asynchronous inference pipelines. Strong focus on maintainability, runtime stability, orchestration patterns, and scalable UI architecture for complex product flows.

Associate Software Engineer at Melento (2025-02 – Present)

AI-native Collaborative Intelligence platform automating document-centric workflows.

• Collaborated on AI-native document workflow systems involving semantic extraction, document comparison, eSign orchestration, and contextual in-app search experiences.
• Built and maintained production Flutter modules for AI-assisted workflows, translating ambiguous product requirements into stable, testable, and maintainable application flows.
• Designed responsive UI systems around asynchronous AI operations, streamed states, and long-running workflow execution pipelines.
• Reduced widget rebuild times and UI jank by ~70% by profiling render paths, restructuring widget trees, and minimizing unnecessary rebuilds across state-heavy screens.
• Refactored legacy UI modules into reusable architecture-driven components aligned with BLoC and Clean Architecture principles.
• Implemented predictable state orchestration patterns across multi-screen workflows, reducing state-related inconsistencies and improving runtime reliability.
• Designed and implemented 15+ production-grade screens from Figma while balancing accessibility, responsiveness, and rendering performance constraints.
• Participated in pull request reviews, production debugging, and release stabilization efforts across critical feature areas.

Product Engineer (Contractor, Part time) at RestoMag (2026-04 – Present)

• Contributing to a Flutter-based vehicle restoration shop management platform focused on operational workflows, customer lifecycle systems, and service management tooling.
• Building production application features using Flutter, Riverpod, Hooks, GoRouter, Supabase, Freezed, and functional programming patterns with fpdart.
• Developing modular systems using strict Clean Architecture principles with clear separation between Domain, Data, and Presentation layers.
• Implemented customer goals and preference workflows including repository abstractions, asynchronous state handling, validation layers, and structured error propagation.
• Designed reusable repository and state orchestration patterns to improve scalability, maintainability, and long-term feature extensibility.
• Authored engineering workflow and architecture standards documentation to improve development consistency and reduce codebase entropy.
• Followed structured feature branching strategies and conventional commit workflows to support scalable collaborative development practices.
• Focused on predictable UI behavior, domain isolation, and minimizing business logic leakage into presentation layers.
• Applied AI-assisted development practices to rapidly iterate on feature systems, repository abstractions, and state orchestration patterns across production application modules.

B.E. in Computer Science (Data Science) – Vivekananda College of Engineering and Technology (2025)