(Jun 2025 – Jul 2025)
AI / ML Intern
Tata AIA Life Insurance
constdeveloper={name:'Harman Singh',role:'Full-Stack Developer / DevOps-Focused',coreSkills:['React', 'Next.js', 'Node.js', 'Express', 'NestJS', 'MongoDB', 'MySQL'],devOps:['Docker', 'CI/CD', 'AWS'],engineeringMindset:'Scalable · Secure · Maintainable',isHireable:function() {return(this.coreSkills.length >= 5&& this.engineeringMindset);});};};Who I am?
Computer Science undergraduate with hands-on experience in full-stack web development and applied machine learning. Contributed to real-world projects involving MERN-based applications, Android development, and machine learning prediction systems. Currently strengthening DevOps capabilities with a focus on CI/CD pipelines, containerization, and cloud deployment. Demonstrates strong problem-solving ability, adaptability, and a solid understanding of production-level software systems.

(Jun 2025 – Jul 2025)
AI / ML Intern
Tata AIA Life Insurance
(Jul 2025 – Aug 2025)
Web Developer Intern
Yugasa Software Labs
(Aug 2023 – Present)
Computer Science Undergraduate
BML Munjal University
Freaks-Corner (E-commerce Web App)
constproject={name:'Freaks-Corner (E-commerce Web App)',tools: ['React', 'Node.js', 'Express', 'MongoDB', 'JWT', 'REST API],myRole:Full Stack Developer,Description: A full-stack e-commerce web application developed using the MERN stack. Features include user authentication, product listing, cart functionality, order management, and role-based access. The application focuses on clean UI, scalable backend APIs, and database-driven workflows.,};AI-Based Health Risk Prediction
constproject={name:'AI-Based Health Risk Prediction',tools: ['Python', 'Pandas', 'NumPy', 'Scikit-learn', 'EDA', 'Matplotlib],myRole:ML Developer,Description: A machine learning project focused on predicting health risk factors using exploratory data analysis and supervised learning techniques. Performed data cleaning, feature engineering, model training, and evaluation to derive actionable insights from health datasets.,};Automatic Attendance System (Face Recognition)
constproject={name:'Automatic Attendance System (Face Recognition)',tools: ['Python', 'OpenCV', 'Face Recognition', 'NumPy],myRole:ML / Python Developer,Description: An automated attendance system using face recognition. The system captures facial data, compares it against stored encodings, and marks attendance automatically, reducing manual effort and improving accuracy.,};Job Search Mobile Application
constproject={name:'Job Search Mobile Application',tools: ['Android', 'Kotlin', 'Firebase', 'REST API],myRole:Android Developer,Description: An Android-based job search application that allows users to browse job listings, view job details, and apply for roles. Built with a focus on clean architecture and user experience.,};2023 – 2027
Bachelor of Technology (B.Tech) in Computer Science and Engineering
BML Munjal University

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