Harjot SINGH MAKKAR

Dynamic AI Prompt Engineer Intern at Edera, I spearheaded DevOps solutions, enhancing software delivery by 300% and deployed predictive models using machine learning. As a Team Leader at Smart India Hackathon, I excelled in project management and teamwork, driving innovative solutions with a focus on containerization technologies and collaboration.

• Human Resource Management System (HRMS) : Developed a comprehensive HR management system using React and Node.js, featuring attendance tracking, payroll processing, performance reviews, role-based authentication, and document management. The system is containerized and fully automated with Docker, Kubernetes, Makefile and Minikube ensuring high scalability and maintainability.
• Project Codera : Led the database team at edera.in to create a platform hosting the top 100 coding and interview questions for various programming languages and tech companies. Leveraged AI prompts to generate thousands of lines of database code, designed the backend, and ensured seamless integration and high performance.
• AgroPact App Frontend : Built a cross-platform app using Flutter that facilitates contracts between farmers, wholesalers, and retailers. Features include real-time negotiation, crop bidding, digital contract generation, and secure transaction tracking.
• Student Management System (StudentDB) : Created a MERN-stack application with CRUD functionality to manage student information. The project includes Docker containerization, a Makefile for process automation, and an organized directory structure for efficient educational data management.
• Publicize.AI : Created for the Accenture Hackathon, this generative AI-driven tool optimizes social media management with scheduling, content insights, and ESG-focused analytics to boost platform engagement and visibility.
• Multi-Language Compiler Project : Developed a compiler tool capable of compiling code in multiple programming languages (Python, C++, C, Java, JavaScript) via API integration, enabling seamless testing and execution for developers.
• Implementation of LRU Cache : Designed an LRU Cache algorithm in C++ to optimize memory usage and access time, improving efficiency in systems with limited resources by managing data based on least-recently-used logic.
• WCM Invention : Currently leading a confidential engineering project that merges mechanical and electrical systems to enhance large-scale operational efficiency, with significant potential for industry application.

• Data Structures and Algorithms, Pregrad (2024)
• Advanced Python Programming, CodeWithRandom (2024)
• LRU Cache Project, Pregrad (2024)
• Pitch Your Idea Summit, MAIT (2024)