KINSHUOK MUNJAL

Work

Delhi Technological Unviersity
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Research Assistant

Summary

Conducting research in advanced image enhancement techniques under the mentorship of Dr. Anil Parihar, with a focus on implementing RetinexNet and Zero-DCE models for low-light image enhancement. Designed and implemented histogram equalization methods to improve image contrast, complementing machine learning-based techniques. Strengthened expertise in Python, Pytorch, and OpenCV for model development and image processing.

Education

Delhi Technological University

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Bachelors of Technology

Software Engineering

Grade: 8.51/10

The Vivekanand School, Delhi

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Class XII

Grade: 96%

Delhi Public School

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Class X

Grade: 92%

Skills

Programming and Markdown Languages

C++, Python, HTML, CSS, JavaScript.

Frameworks/Libraries

React.Js, Express.Js, Node.Js, Bootstrap, Tailwind CSS, SkLearn, Numpy, Pandas.

Technologies/Tools

Microsoft Visual Studio Code, Git, Github.

Databases

MongoDB, MySQL.

Platforms

Amazon Web Services, Google Cloud Platform.

Interests

Relevant Coursework

Object Oriented Programming(OOPs), Data Structures and Algorithms, Database Management System (DBMS), Operating Systems, Machine Learning.

Projects

Bot-forge

Summary

Developed a Next.js-based chatbot generation platform that produces a single, embeddable JavaScript plugin file, enabling seamless, no-code bot integration with customizable UI and behavior.. Designed a dynamic API integration system, allowing users to provide an API key for their own endpoints, enabling the bot to automatically call external APIs when needed based on predefined triggers and responses Implemented a secure authentication flow using Google OAuth 2.0 and MongoDB, ensuring safe storage of user configurations and API keys while enforcing access control for bot interactions.

Smarter Receipt

Summary

Developed a digital product and billing platform allowing shopkeepers to manage inventory, scan barcodes using the website, generate bills, and email them directly to customers. Integrated Google OAuth for secure user authentication, enhancing security and simplifying user access. Implemented AWS S3 for scalable and efficient product image storage, ensuring fast data access. Deployed on AWS EC2, ensuring high reliability and uptime with monitoring through CloudWatch.

Gym-Sync

Summary

Developed a user-centric web application using React.js for a workout dashboard, featuring an intuitive interface design. Implemented real-time editing capabilities using Express.js for workouts, which improved user interaction Innovated a workout-sharing feature, enabling users to share fitness routines, thereby fostering engagement.