Yash Farakate

Yash Farakate

Pre-Final year @IIIT Allahabad | Coordinator @Metaverse Wing, Gravity

Maharashtra, India
2roles
41skills
4education

About

B.Tech Information Technology student at IIIT Allahabad with experience building backend, full-stack, and machine learning projects.

Experience

Metaverse Wing Coordinator

Gravity, IIIT Allahabad

8 mos

Executive

Aparoksha, IIIT Allahabad

2 mos

Education

Indian Institute Of Information Technology Allahabad

Bachelor of Technology - BTech, Information Technology

2023

Indian Institute of Information Technology, Allahabad

B.Tech, Information Technology

Aug 2023 – Jun 2027

Expected 2027; CGPA: 8.20

Vidyadham Jr Science College

Class XII (HSC)

Jun 2023

Percentage: 85.33%

Gaikwad Global School

Class X (CBSE)

Jun 2021

Percentage: 98.4%

Skills

SoftwareDatabase Management System (DBMS)Database ServersWeb TechnologiesData StructuresObject-Oriented Programming (OOP)Competitive ProgrammingObject Oriented SystemsAlgorithmsDatabase DevelopmentInformation TechnologyData Structures & AlgorithmsOperating SystemsDatabase Management SystemsComputer NetworksObject-Oriented ProgrammingC++PythonJavaSQLNode.jsExpress.jsDjangoFlaskRESTful API DesignPostgreSQLMongoDBReact.jsNext.jsTypeScriptJavaScriptHTML5CSS3Tailwind CSSNumPyPandasScikit-learnGitGitHubDockerPostman

Projects

Scholarly — Campus Discussion Platform

Django-based campus discussion platform with a role-based access control backend, PostgreSQL full-text search with vector indexing, and query performance optimization through indexing and pre-fetching. Technologies: Django, Python, PostgreSQL, Tailwind CSS, JavaScript.

MindWell — Mental Health & Wellness Platform

Mental health and wellness platform with a Node.js REST API, stateless JWT authentication using HTTP-only cookies, React lazy loading, TypeScript generics, and asynchronous Cloudinary and Nodemailer pipelines. Technologies: React.js, TypeScript, Node.js, Express.js, MongoDB, Cloudinary, JWT, Nodemailer.

Behavioural Authentication using Keystroke Dynamics

Machine learning project using statistical classification, normalization pipelines, RFECV, PCA, and an ensemble Voting Classifier with Random Forest and AdaBoost; achieved a 0.989 F1-score and reduced feature space from 31 to 15 features.

Volunteering

Wing Coordinator, Web Development Wing

Gravity, IIIT Allahabad

2025

Publications

Computer Networks

Database Management System

Object Oriented Methodology

Operating Systems