Hi, I'm Anuj Kumar

Master's of computer Application Student

A Second-year Postgraduate student at IMS Engineering College , Ghaziabad.

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About Me

My introduction

Second-year postgraduate student and Python Developer at KoiReader Technologies with a strong interest in computer vision and backend development. Self-motivated and adaptable, with hands-on experience in AI-based solutions and object detection models. Passionate about learning new technologies and seeking opportunities to grow and contribute to impactful projects.

9.1 Aggregate
CGPA
07+ Projects
04+ Months
experience
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Skills

My technical level

Programming Languages

C

C++

Python

IT Constructs

DBMS

DS & Algorithms

OOP

OS

Technologies & Frameworks

Git

Django | Django Rest FrameWork

Redis | PostgreSQL

Celery | RabbitMQ | Kafka

Docker

CSS

Flask

Work Experience

My professional journey
Experience

Python Developer

KoiReader Technologies
Feb 2026 - Present
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Computer Vision and AI Pipeline Development

  • Working on computer vision projects using Python.

  • Implemented object detection solutions using YOLO.

  • Performed model testing, annotation validation, and debugging.

  • Developed scripts for data processing and visualization.

  • Improved model performance by identifying and fixing edge cases.

Backend Developer
Intern

CodeAlpha
Aug 2025 - Sep 2025
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Backend API Development

  • Developed and maintained backend services using Python.

  • Worked on API development and database integration.

  • Improved system performance and optimized server-side logic.





Qualification

My personal journey
Education

M L I C

Dagraha
Intermediate
- 2020
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Class 12th Summary :

  • Subjects studied: Physics, Chemistry, Maths, English, Hindi.

  • Scored 70%

  • Came Winner up in College Cricket

College (UG)

Signa College
Kanpur
2021 - 2024
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College Summary :

  • learn core subjects of IT including DSA, Embedded systems, Design analysis and algorithm, Operating systems, and Computer architecture .

  • Scored an aggregate of 7.78 CGPA

  • Student coordinator in Coding Club

College (PG)

IMSEC,Ghiaziabad
2024 - 2026
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College Summary :

  • More Focus on core subjects of IT including DSA, Embedded systems, Design analysis and algorithm, Operating systems, and Computer architecture .

  • Scored an aggregate of 8.87 CGPA Till Now

  • Winner Of web warrior Club of the MCA department get first price.

  • Student Co-Ordinator Of CodeSpark (Coding Club)

Projects

Most recent work

LLD ChatRoom server

The **LLD ChatRoom Server** in C++ showcases advanced design using **sockets**, **threading**, and **Boost.Asio** for efficient asynchronous communication. It applies **OOP principles**, ensuring modularity and scalability. The project incorporates robust **memory management**, custom **protocol design**, and concurrency control, creating a reliable, high-performance chat server suitable for real-time interactions and distributed systems.

GitHub Repository See Live

College ERP

A full-featured College ERP platform built with Python and Django. Features include user authentication, two-step verification (OTP), attendance tracking, course management, and an admin dashboard. The system ensures secure access, efficient data handling, and streamlined operations, making it ideal for managing academic and administrative tasks in educational institutions.

GitHub Repository See Live

AI Career Counslor

Career Counslor is a web app developed using HTML, CSS, and JavaScript, Python, Django, PostgreSQL, RabbitMQ, DRF . It recreates AI Chatbot interface and features also, allowing users to Build There Resume, Chat Assistent, Resume Parsing , Career Guidence and experience on any device. Contributions are welcome!

GitHub Repository See Live

ChatBot

This is Chatbot App using chatgpt and gemini where we can ask the question's and chatbot reply within a second also if we don't login then chatbot don't give the answer

GitHub Repository See Live

WeWareEcom

This project is an AI-powered e-commerce web application built with Django. It allows users to browse products, add items to the cart, and make purchases seamlessly. The system features an intelligent recommendation engine that suggests products based on user preferences and behavior. To enhance performance, computation-heavy tasks in the recommendation model are optimized using Cython, ensuring faster processing and an improved, personalized shopping experience for every user.

GitHub Repository See Live

Contact Me

Get in touch

Contact Me

8737056329

Email

anuj.a87a@gmail.com

Location

Ghaziabad, Uttar Pradesh, India
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