Software Engineer and B.Tech Computer Science graduate (2026) with 1+ year of professional experience building cloud-native, API-first, microservices-driven platforms using Angular (v16–v20), React.js, Node.js, Python (D…
Software Engineer and B.Tech Computer Science graduate (2026) with 1+ year of professional experience building cloud-native, API-first, microservices-driven platforms using Angular (v16–v20), React.js, Node.js, Python (Django/FastAPI), and TypeScript. Experienced in full-stack architecture, TDD (Jasmine/Karma/Playwright/Cypress), Docker and Kubernetes containerization, CI/CD pipelines, and AI/ML LLM integration (Claude, GPT, GitHub Copilot). Skilled in relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases, Power BI analytics, and enterprise-grade UI engineering. Passionate about building intelligent, scalable CPQ and digital transformation platforms in fast-paced Agile/Scrum environments.
Experience
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Software Engineer — Full-Stack Development
DIOnce Technology, Bangalore,India·Adugodi , Karnataka , India
May 2025 - Present · 1 year 6 months
<p>Architected and executed the migration of 3 core enterprise repositories (Research Hub, Digital Marketing, UI CX) to Angular Standalone Component architecture and Signals — reducing legacy NgModule boilerplate by ~40% and improving tree-shaking performance across cloud-native enterprise front-end layers.</p><p> Independently translated wireframes, mockups, and requirements documents into production-ready, Rich GUI enterprise platforms — delivering responsive, pixel-perfect interfaces in Angular, TypeScript, HTML5, and SCSS that operate seamlessly across desktop, tablet, and mobile devices.</p><p> Developed Python FastAPI and Django REST API services integrated with PostgreSQL and MongoDB — implementing API-first microservices design patterns for data-driven CPQ-style enterprise analytics workflows.</p><p> Integrated Claude (Anthropic), OpenAI GPT-4, and GitHub Copilot into development workflows — applying prompt engineering, LLM proxy patterns, and agentic automation to accelerate feature delivery and embed AI intelligence into enterprise platform modules.</p><p> Containerized services with Docker and configured GitHub Actions CI/CD pipelines — managing branching strategies, pull requests, and version control via Git/GitHub to ensure automated build validation and zero-downtime deployments.</p><p> Applied TDD with Jasmine/Karma (unit), Playwright, and Cypress (E2E) — achieving >80% code coverage and reducing post-deployment regression defects by ~30% across Agile sprint cycles.</p><p> Engineered analytics UI dashboards with card-based, responsive layouts and graph database integrations — enabling real-time data visualization for enterprise clients with ~25% improvement in dashboard load time through optimized component architecture.</p><p> Implemented JWT-based session management, inactivity timeout modules, and RBAC front-end security — securing multi-role enterprise applications with configurable idle-period enforcement and automatic logout.</p>
