Java, C++, javascript,Reactjs, VueJs
Resume:
ASHISH GUPTA
ACADEMIC PROFILE
Degree/Certificate Institution Percentage/CGPA Year
B-Tech Chemical Engineering IIT (BHU), Varanasi 7.64 2021 CBSE (XII) Guru Nanak public school 81.80 2017
CBSE (X) Saint John's Senior Secondary school 89.30 2015 SKILLS
Programming Language:C++, Java, Python, Javascript Technical skills: HTML/CSS, NodeJs, Firebase, Keras, Django, VueJs, ReactJs, Git Area of interest: Software development, DBMS, Operating system, Data structure and Algorithm INTERNSHIP/TRAINING
RoomLelo April'20 - June'20
Web Developer
Revamped the UI of the website using Vuejs framework along with Vuesax, Bootstrap and Glide library. The website was developed using NodeJs integrating with firebase database. Added the OTP authentication component using Firebase Authentication. Also built the admin page for the company for the root user and other staff to give dynamic control of the website to admin and other staff.
Exposure: VueJs, Bootstrap, NodeJs and Firebase
PROJECTS
Path finder
Web App
Developed a web app to find and visualize shortest path between two nodes in 50 by 50 grid using Dijkstra algorithm.
Aim of this project is to visualize the working of a weighted algorithm in a Graph. The web app was built using ReactJs Framework and HTML/CSS. Web app was deployed on Heroku.
Exposure: Graph Theory and React Framework.
Realtime chat application
Web App
Built a real-time chatbox on which multiple users can chat using different chat rooms at the same time. Socketio library was used for real-time bi-directional communication between frontend and backend. Used Nodejs environment to handle the backend.
The UI of chatbox was designed using HTML/CSS and Bootstrap library. Exposure : Socketio and NodeJs
Bee species predictor - Machine Learning
Design an ML architecture for classifying bee’s species from their images, using the dataset of two bee species coloured images.
In this project, HOG (Histogram of oriented gradients) and PCA was used for feature engineering. SVM Classifier was used with the linear kernel to classify label and performance is measured based on F1 score.
Exposure: SVM algorithm and Feature engineering.
CERTIFIED COURSES
System Design - Udemy
Udemy certified Linux course.
System Design Preparation by Udemy.
Machine Learning
Fundamentals of Quantitative Modeling by Coursera. Deep learning in python certified by DataCamp.
EXTRA-CURRICULAR ACTIVITIES
Codeforces
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