Kushmaniar

Kush Maniar

A intermediate developer with a constant spark to expand evolve, and collaborate in dynamic workplaces.
Seize opportunities to enhance my technical knowledge.
Keen to learn and overcome
mistakes.
Experienced and interested in AI/ML/DL and frontend web development with a splash of
Creativity and Design.

Projects

Smart Bin

This project is a smart bin automated and intelligent IoT device integrated with a ML model and a React Native app which enables smart solid waste segregation and management in urban cities.React Native, Iot, Ml

CheckMate

To keep your mates in check!Flask, Machine Learning, Python, React.js, Django rest framework, Face Recognition

Skills

Python
JavaScript
TypeScript
React.js
Next.js

Experience

  • Haspr - Brand Experience Agency - Frontend Developer Intern
    July 2022 - August 2022

    Developed Admin, Operator and Customer mobile interfaces for "Bus Karo" Bus Transport management and tracking application using ReactNative.

  • Buyceps - Software Developer Intern
    February 2023 - April 2023

    An E-commerce application that utilises GraphQL and ApolloClient Integration with Next.js and TypeScript

  • Techolution - Artificial Intelligence Intern
    June 2023 - July 2023

    ◦ Object Detection and Classification: Built a custom YOLOv3 model according to client’s KPIs to successfully generate a time-based logging system for detected tools.
    ◦ YOLO Performance Enhancement: Researched, contrasted, and implemented upgrades to custom YOLOv3 model that overcome hurdles like occlusion, low resolution, and high level semantic feature loss.
    ◦ Custom Dataset Generation and Augmentation: Developed a custom dataset, using python scripts. Optimized storage including data pre-processing and cleaning. Data Augmentation and dataset format generation.
    ◦ Model Dockerization and Cloud Hosting: Deployed the model using Docker onto a Virtual Machine Pod on GCP. Integrated the model training, testing, and retraining with Frontend Interface.