Harsh Porwal

Vellore.

About

I’m Harsh Porwal, a final-year Computer Science and Engineering student at Vellore Institute of Technology, specializing in IoT. I have hands-on experience in software development through internships at Clear Demand, Samsung R&D India, and Coelentera Technologies. My work spans web development, AI integration, and research in machine unlearning. I’ve developed impactful projects like an AI-based mock interview platform and a real estate web application, leveraging technologies such as Node.js, React, Docker, Prometheus, and AWS. I’m passionate about building scalable systems, automating workflows, and solving real-world problems through technology.

Work

Clear Demand

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SDE Intern

Highlights

Working on a web crawling tool using Node.js, focusing on data extraction and automation tasks.

Samsung R&D India

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Research Intern, Certificate

Highlights

Researched on machine Un-learning, analyzing current scenarios and applications.

Developed an algorithm for selective forgetting in deep neural networks using CIFAR-10.

Enhanced accuracy, achieving a 76% performance improvement.

Authored a research paper on machine unlearning methodologies.

Coelentera Technologies Pvt. Ltd.

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Web Development Intern

Highlights

Developed a Generic Payment Gateway Integration for e-commerce applications using MERN stack.

Worked on both frontend and backend development to ensure seamless integration.

Technologies learned: MongoDB, Express.js, React.js, Node.js, API integration, Payment Gateway Integration.

Education

Vellore Institute Of Technology

B.Tech Computer Science and Engineering with Spec. in IOT Grade: 9.45/10

Courses

Operating Systems

Database Management System

Computer Networks

Data Structures & Algorithms

Sensors & Actuators

Publications

Review of Data Bias in Healthcare Applications

International Journal of Online and Biomedical Engineering

Examined the impact of data bias in healthcare applications on 20+ metrics, exploring its effects on data collection, processing, and model building.

Skills

Frameworks

NodeJS, ReactJS, NextJS, ExpressJS, Prometheus, Grafana.

Tools

Docker, GIT, Postman, PostgreSQL, MySQL, Figma.

Languages

C/C++, Java, JavaScript, Python, SQL, HTML/CSS, Shell/Bash.

Platforms

Linux, Web, Windows, AWS, Arduino, ESP32.

Projects

AI Mock Interview Platform

Summary

Developed an AI-based mock interview platform that provides real-time feedback and performance evaluation, integrating Gemini AI to analyze user responses and deliver personalized interview preparation insights. The platform successfully engaged over 200 college students, helping them enhance their interview skills through interactive and data-driven evaluations.

SmartEstate

Summary

Engineered a comprehensive real estate platform enabling seamless property buying, renting, and listing functionalities, integrated real-time communication with Socket.io to facilitate instant messaging between buyers and sellers, and implemented advanced performance monitoring with Prometheus and Grafana to track over 30 key system metrics, including request latency, database performance, and user activity.

Expense Tracker

Summary

Implemented a robust CI/CD pipeline using GitHub Actions to automate frontend testing, build, and deployment. Developed and integrated unit and integration tests using Jest and React Testing Library to ensure frontend reliability. Deployed and managed backend services on AWS EC2 using Docker, while integrating Prometheus and Grafana for real-time API monitoring and tracking of key metrics such as request latency, active users, and error rates.