Harsh Porwal

Harsh Porwal

A Passionate Software Engineer & Fullstack Developer !!

About Me

Passionate computer science student specializing in IoT at Vellore Institute of Technology. Experienced in full-stack development and machine un-learning, with a strong academic record and practical experience through internships and projects. Committed to leveraging technology to solve real-world problems and continuously expanding my skill set in the ever-evolving field of computer science.

Experience

Research Intern

Samsung R&D India

Dec. 2023 – Sep. 2024
Remote
  • Implemented an advanced machine unlearning algorithm using PyTorch and ResNet18, enabling selective forgetting of specific classes in a CIFAR-10 image classifier while maintaining 82% accuracy on retained classes.
  • Utilized adversarial noise generation and fine-tuning techniques to achieve targeted model amnesia.
  • Authored a review research paper on machine unlearning techniques, currently under review at academic journals.

Skills

Languages

  • C/C++
  • Java
  • JavaScript
  • HTML/CSS
  • Python
  • SQL

Frameworks/Libraries

  • React.js
  • Next.js
  • Node.js
  • Express.js
  • Redux

Databases & Developer Tools

  • MySQL
  • MongoDB
  • Git/GitHub
  • Docker
  • AWS (Amazon Web Services)

Projects

Crop-estate

Crop-estate

Developed a MERN stack real estate application for buying, renting, and listing properties, featuring real-time chat via Socket.io. The application is containerized with Docker, reducing deployment time by 50% and enhancing scalability. I also implemented Prometheus for backend metrics collection and created a dashboard with Grafana to visualize over 30 metrics.

Multithreaded Proxy Server

Multithreaded Proxy Server

Developed a high-performance, multithreaded HTTP proxy server capable of managing up to 400 concurrent client connections. To enhance response times and minimize bandwidth usage, I implemented an efficient caching mechanism using the LRU (Least Recently Used) eviction policy.

Send-It: File Sharing App

Send-It: File Sharing App

Developed a file-sharing platform that allows secure file upload, storage, and password-protected downloads. The platform also enables users to share files via short URLs and direct email capabilities, enhancing convenience and security.

Animal Health Monitoring (IOT)

Animal Health Monitoring (IOT)

Developed a wearable device with a Raspberry Pi Pico to monitor heart rate, respiratory rate, and temperature in animals. The device collects data using sensors and transmits it to ThingSpeak for real-time monitoring, with LEDs providing visual alerts for abnormalities. A moving average filter improves data accuracy. The project is showcased on GitHub, with a live website and YouTube demonstration.

Sumzee

Sumzee

Developed “Sumzee,” an open-source article summarizer powered by OpenAI GPT-4. This tool efficiently generates quick and accurate summaries of articles, allowing users to save time while staying informed. By streamlining the reading process, “Sumzee” helps users get the gist of content without the need to read lengthy articles. The project is designed to enhance productivity and information retention, making it a valuable resource for anyone looking to manage their reading more effectively.

Pharmacy Management System

Pharmacy Management System

Developed a Pharmacy Management System using Python’s tkinter for the GUI and MySQL for data management. The system enables users to efficiently add, update, delete, and search medication records through an intuitive interface. It enhances operational efficiency in pharmacies by streamlining medication information management, ensuring data accuracy, and providing user-friendly error handling.

Publication

Review of Data Bias in Healthcare Applications (Link)

iJOE International Journal of Online and Biomedical Engineering

Data bias is a major difficulty in medical AI, affecting data collection, processing, and model building. We examine its impact on healthcare and discuss methods to reduce bias, including algorithms like SMOTE, AdaSyn, Fair-SMOTE, and BayesBoost.

Education

Vellore Institute of Technology

B.Tech - Computer Science and Engineering (with spec. in IOT)

Aug. 2021 - Present

CGPA: 9.40/10.00

Loyola International School

Higher Secondary Education

Graduated May 2021

Percentage: 85%

GD Goenka Public School

Senior Secondary Education

Graduated May 2019

Percentage: 92%

Contact Me

Get in Touch

You can reach me directly at harshporwal204@gmail.com or call me at +91 7652053816. Alternatively, fill out the form below to send me a message.