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About

Motivated B.Tech CSE (AI & Machine Learning) student with hands-on experience in full-stack web development (React, Flask/Django, SQL), machine learning (Scikit-learn, XGBoost, TensorFlow), and enterprise platform administration (ServiceNow CSA, CAD certified). Seeking an entry-level opportunity to apply strong problem-solving skills, project experience across web applications and ML systems, and cloud/DevOps foundations (Azure, OCI certified) to contribute.

Experience2

  1. Virtual Internship - Python Full-Stack Development

    Oct 2025 — Nov 2025

    Infosys Springboard

    Completed training in Python Full-Stack Development, covering frontend, backend, and database technologies. Worked with HTML, CSS, JavaScript, Python, Flask/Django, and SQL to develop web applications, including REST APIs and CRUD operations.

  2. Virtual Internship - ServiceNow Administration

    Jul 2025 — Aug 2025

    ServiceNow | AICTE – Smart Bridge

    Gained hands-on experience with ServiceNow platform administration and workflow automation. Completed ServiceNow Administration Fundamentals and relevant micro-certification modules, developing foundational knowledge of ServiceNow platform configuration and enterprise workflow management.

Projects3

  • AI Resume Analyzer

    Designed and built a React/TypeScript SPA prototype for resume analysis, including ATS score display, skill-gap visualization, and job recommendation UI. Built the full component architecture using React Router and TanStack Query, integrated Supabase for authentication and backend setup.

    • React
    • TypeScript
    • Supabase
    • Tan Stack Query

  • Hostel Issue Resolution System (ServiceNow)

    Re-engineered the hostel complaint management problem as a ServiceNow scoped application, extending a prior React/Supabase implementation into an enterprise low-code platform. Built a resident-facing request form and implemented business rules and Flow Designer workflows to auto-route requests.

    • ServiceNow
    • Flow Designer

  • ML Prediction System

    Worked through a structured machine learning curriculum covering data preprocessing, classical ML, and deep learning. Implemented and experimented with model training and evaluation notebooks across supervised learning, neural networks, and NLP techniques.

    • Python
    • TensorFlow
    • Scikit-learn
    • XGBoost

Education1

  • B. Tech in CSE (AI & Machine Learning)

    2023 — 2027

    Pragati Engineering College

    Computer Science