● Open to Work

Tejas_Choudhari

Software Engineer | Full Stack Developer | AI/ML Enthusiast
Pune

About Me

MCA candidate with hands-on experience building AI-powered and full-stack web applications using React.js, Node.js, Python, Java, MongoDB, SQL, and REST APIs. Strong foundation in DSA, OOP, DBMS, SDLC, and Generative AI. Passionate about solving real-world problems through scalable software and modern AI technologies.

Skills & Technologies

JavaPythonJavaScriptSQLC++RReact.jsAngularNext.jsHTML5CSS3BootstrapTailwind CSSNode.jsExpress.jsJava ServletsREST APIsFastAPIMongoDBMySQLPostgreSQLOracleOpenAI APINLPTensorFlowScikit-learnPandasNumPyLIMESHAPData StructuresAlgorithmsOOPDBMSOperating SystemsComputer NetworksSDLCGitGitHubPostmanVS CodePower BIAWSMicrosoft Azure

Projects

ThinkSy: AI-Powered Virtual Assistant (MERN + OpenAI)

Developed a full-stack AI assistant featuring secure authentication and REST APIs, integrating OpenAI APIs for intelligent, context-aware responses. The project includes a scalable backend architecture with a responsive React interface.

React.jsNode.jsExpress.jsMongoDB+2

VelvetStay – Hotel Booking Platform

Built a full-stack hotel booking platform supporting secure user authentication, room search and filtering, booking management, and responsive React UI. Designed backend REST APIs using Node.js, Express.js, and MongoDB for reliable data handling and maintainable server logic.

React.jsNode.jsExpress.jsMongoDB+1

Fake News Detection with Explainable AI (XAI)

Created an AI-driven fake news detection system employing machine learning, NLP, Transformers, and explainable AI techniques such as LIME and SHAP to highlight decision-making factors, improve transparency, and enhance user trust.

Machine LearningNLPTransformersLIME+1

Education

MCA

Computer Application

G.H.Raisoni International Skill Tech University Pune2024 - 2026

BBA.CA

Computer Application

PES Modern College Of Arts, Science and Commerce, Ganeshkhind Pune2019 - 2022
Tejas_Choudhari - Software Engineer | Full | HiringAnt