Frontend Developer
A Computer Science Engineer passionate about Programming, Machine Learning and Design.
See ProjectsHi, My Name Is Pranjal Sharma. I am Full Stack Developer & ML Enthusiast.
I am currently pursuing MTech in Computational Materials Engineering at IIT Roorkee.
I did B.Tech in Computer Science from UIET, CSJM University Kanpur.
I am proficient in Frontend skills like React.js, Recoil, React Native, Axios, Tailwind CSS, and many more.
In backend I know Node.js, Express.js, MongoDB.
These are some of my best projects. I have built these with React, MERN, ML, DeepLearning, and Reinforcement Learning. Check them out.
Real Time Stock Dashboard
This project is a real-time stock market dashboard built using React, Tailwind CSS. It provides users with live updates on stock prices, allowing them to monitor market trends and make informed investment decisions. The dashboard features a user-friendly interface, customizable watchlists, and real-time notifications for price changes.
Metal Casting Defect Detection
This project implements a Convolutional Neural Network (CNN) to automatically detect defects in metal casting products. The model analyzes images of casting components and classifies them as either defective or non-defective with high accuracy. This automated inspection system can significantly improve quality control processes in manufacturing environments by reducing manual inspection time and ensuring consistent evaluation criteria.
Zip-Link
Text2Pic
Poetify-GPT
RealVibes
RealVibe is a dynamic React Native app, powered by Firebase and Expo, offering effortless reel creation, interactive viewing, and social engagement. Users can create, explore, and interact with short video reels, while the app optimizes loading and provides flexible playback controls. Experience the future of short video content with RealVibe.
Article Summarizer
Movieflix-PJ
Model-LunarLander-v2
These are my Experiences:
Product Engineering Intern
As a Product Engineering Intern at PsyTech, I contributed to several projects, including the development of a news aggregator app. During my time there, I worked on full-stack development of the app as a native application and conducted a sensitivity analysis on various machine learning models.
ML Intern
Worked on building Numbers of Data Sets, & done preprocessing and data wrangling on it. Using Pandas & Numpy for data preprocessing & wrangling, Clean it & make it ready to use on different ML models. Worked on Traffic Violation Detection using the YOLO algorithm, which detects traffic violations such as Red light jumping, Seat belt & Helmet worn or not, etc.
SDE Intern
Developed the Reward & Recognition System(R&R).For the employees using React, HTML, CSS, and JavaScript. Created the complete UI/UX for the R&R system, used the Real-Time Database of Firebase as Database, also used the Firebase authentication system for user authentication, and also host it using Firebase Hosting services.
I am currently open for a fulltime Frontend Developer & ML Developer role. If you want to discuss about that feel free to email me or call me.
Email: pranjal1476772@gmail.com || pranjal.software.engineer@gmail.com
Phone: +91 7895336610