Dharun Prakash J A

Working as a Junior Engineer on Triumphal's product and client engineering initiatives, contributing across the stack to design, build, and ship production features while continuing to deepen full-stack and cloud engineering expertise.

Key Highlights

• Contributing to end-to-end feature development across frontend and backend services
• Collaborating with senior engineers on architecture, code reviews, and delivery
• Applying modern engineering practices — Git workflows, testing, and CI/CD

Technologies Used

• JavaScript
• React
• Node.js
• REST APIs
• Git

Product Engineer on AlertEagle, an enterprise monitoring and alerting platform. Own features end-to-end across the Next.js frontend and Django/Flask backends — from enterprise authentication and AI-powered reporting to deployment, testing, and product design.

Key Highlights

• Implemented SAML Single Sign-On (SSO) and Multi-Factor Authentication (MFA) for enterprise customers
• Built AI-powered report generation with SMTP delivery and Docker-based deployment
• Delivered platform enhancements across Next.js, Django, and Flask services
• Led end-to-end testing, UI/UX improvements, landing page design, branding, and marketing creatives

Technologies Used

• Next.js
• Django
• Flask
• SAML SSO
• MFA
• Docker
• SMTP
• Generative AI

Worked on AI-driven solutions and enterprise software development across the complete software development lifecycle. Started with full-stack web applications using Flask, MySQL, HTML, CSS, and Bootstrap, then progressed to AI-powered applications — a Train Booking Chatbot using Gemini APIs, Ollama, RAG, Generative UI, and Agentic AI; an AI Support Automation Agent that analyzes customer-reported issues and generates code fixes with automated pull request creation; and Elverve AI Readiness, an assessment platform that evaluates organizational AI readiness and delivers intelligent reports via SMTP. Later joined the AlertEagle team, contributing to frontend and backend development with Next.js, Django, and Flask.

Key Highlights

• Built a Train Booking Chatbot with Gemini APIs, Ollama, RAG, Generative UI, and Agentic AI concepts
• Developed an AI Support Automation Agent that generates code fixes and opens pull requests automatically
• Shipped Elverve AI Readiness — an AI-powered assessment platform with intelligent report generation and SMTP delivery
• Contributed to AlertEagle: SAML SSO, MFA, AI report generation, Docker deployment, and platform enhancements
• Handled end-to-end testing, UI/UX improvements, landing page design, branding, and marketing creatives

Technologies Used

• Python
• Flask
• MySQL
• Bootstrap
• Gemini API
• Ollama
• RAG
• Agentic AI
• Next.js
• Django
• Docker

Technical Associate building client projects for Zealous Tech Corp, taking web applications from requirements through design, development and delivery.

Key Highlights

• Build and deliver client web applications from requirements to deployment
• Turn client requirements into responsive, maintainable React and Material UI interfaces
• Maintain and enhance live client sites after launch

Technologies Used

• React
• Material UI
• Node.js
• Firebase
• Git

Contributed to the development of Zealous Pro Foundry, a Learning Management System (LMS) built on the MERN stack with a microservices architecture. Developed and maintained backend services across six independent microservices, built responsive React + MUI frontend modules, and participated in deploying and managing the application on AWS.

Completed an internship as a Node Microservice Developer, contributing to backend services built on a microservices architecture. Developed and integrated key components of the Z-Bank Debit Card API as the capstone project, applying microservices design principles to build scalable, modular, and maintainable services.

Designed the Low-Level Design (LLD) for an Uber Clone application as the capstone project. Analyzed functional requirements and translated them into scalable system components and architecture, applying object-oriented design principles and appropriate data structures and algorithms.

Contributed to the capstone development of the Cookd web application using the MERN stack (MongoDB, Express.js, React.js, and Node.js). Developed and integrated multiple frontend and backend modules based on project requirements, delivering milestones within the internship timeline.