Venkata – React, Java, Java EE

A web application for the telecommunications industry that enables supervisors to manage and monitor the daily operations of field technicians.

• Led a team of 4 UI engineers, driving sprint planning, code reviews, and the delivery of high-performance web and mobile applications;
• Built a micro frontend architecture using Webpack 5 Module Federation, enabling dynamic dependency sharing and modular deployment across enterprise-grade applications;
• Developed a reusable survey form library with plug-and-play capabilities, reducing UI implementation time by 90% within one month and standardizing form logic across projects;
• Converted complex web applications into mobile-native experiences using Capacitor JS, ensuring full Android compatibility;
• Integrated real-time technician tracking using MapLibre, HERE Maps, and Datadog, enabling live location monitoring and proactive alerting for field operations.

An AI-powered SDLC automation platform that transforms software features from ticket to production-ready, tested code through a multi-agent pipeline with automated quality gates and self-correcting feedback loops.

• Designed and built an autonomous multi-agent SDLC pipeline from the ground up;
• Defined the overall agent architecture, responsibilities, and quality gates for each stage of the software development lifecycle;
• Engineered a self-correcting feedback model that automatically routed failures to the appropriate agent based on the root cause;

Top Achievements:

• Architected a six-agent pipeline covering the full SDLC — from Requirements (Jira) and Design (Figma + MCP) to Architecture, Implementation, QA & Visual Verification, and Release — with each agent owning a dedicated phase behind an explicit quality gate and no manual handoffs;
• Designed self-correcting feedback loops that identified failures by type and routed them to the root-cause agent (e.g., design mismatches to the Design agent, architectural issues to the Architect, and test failures to the Implementer), eliminating unnecessary escalation cycles;
• Reduced a multi-day, multi-role software delivery process to a single guided execution, using bounded iteration limits and human-in-the-loop review only for final approval and exception handling.

A multi-tenant web and mobile platform for schools that streamlines academic management, real-time communication, AI-assisted learning, live transport tracking, and role-based access across students, teachers, parents, and administrators.

• Designed a multi‑tenant architecture with secure RLS‑based data isolation;
• Delivered a smooth, production‑ready mobile UX with theming, transitions, and deep linking;
• Built a scalable NestJS backend with project‑per‑tenant isolation and cached settings API;
• Used AI tools (Copilot) to accelerate feature scaffolding and maintain high code quality;
• Delivered a complete end‑to‑end app ready for deployment across Web, Android, and IOS.

An AI-powered, framework-agnostic design-to-code platform that converts Figma designs into production-ready UI code for Android, Kotlin Multiplatform, React, and Angular while enforcing design system consistency and visual accuracy.

• Designed and built a framework-agnostic AI platform for automated Figma-to-code conversion;
• Architected a four-phase AI pipeline (Analysis → Generation → Validation → Visual Comparison);
• Delivered ~85% faster UI development while achieving ~99% visual fidelity;
• Built reusable framework-specific rule sets packaged as downloadable bundles for Android, Kotlin Multiplatform, React, and Angular;
• Automated mapping of 100+ design system components using repository APIs and framework-specific component catalogs;
• Implemented an AI-powered visual feedback loop to detect UI differences and iteratively improve generated code;
• Created a 7-point QA pipeline covering accessibility, component states, layout accuracy, and code quality.