Frontend & product engineer. React, Next.js, TypeScript. Building AI agents that ship real PRs.

Jitendra Kumawat • Peerlist

Mini project made as a team of 5 during the course of Big Data Essentials (18CSE443T) on how Content Distribution Network (CDN) works in real-world scenarios.

Content Distribution Network (CDN) Analysis (

Mini project made as a team of 5 during the course of Database Management Systems (18CSC303J) on how Covid Vaccines are being handled in India during the time of the pandemic.

Covid Vaccine Distribution System (DBMS)

Developed across-platform messaging application using Flutter hosted on Firebase.

Flash Chat

A digit recognition system designed on MNIST data which could achieve an accuracy of 95%.

MNIST Digit Recognition System

Built an AI-enabled PDP model using Scikit-Learn which predicts payment clearing date for B2B companies using Invoice data. SQL database was used and the model was deployed as a responsive web application using Javascript, HTML/CSS and its backend was handled by Java.

Payment Date Prediction

Developed a cross-platform mobile application using Flutter hosted on Firebase to modernize athletes approach to maintaining their fitness journal. Spot My Gains is an interactive mobile journal designed specifically for gym-goers to track their progress using beautiful graphs and share their achievements/daily workouts on an inbuilt social media platform.

Spot my gains

Developed a Traffic Object Detection model that identifies and locates different object classes in images and builds a bounding box around objects. The model was built using a pre-trained, powerful YOLO model using Tensorflow and Keras.

Traffic Object Detection

Developed a contextual virtual assistant integrated with a prediction model that can answer any query regarding breast cancer. The model also classifies tumours into malignant or benign by analyzing past trends for images of tumours. Deployed on Flask and hosted on Heroku.