Nivedha J

About

Final-year B.E. student in Information Science and Engineering with internship exposure in artificial intelligence and machine learning. Builds AI-focused and full-stack academic projects and has a strong academic record.

Experience

• AIML Intern
  Infosys Springboard
  Feb 2026 – Apr 2026

  Gained hands-on exposure to artificial intelligence and machine learning concepts through guided projects and coursework. Worked with real-world datasets to strengthen practical understanding of AI/ML workflows.

• AI Intern
  Edunet Foundation
  Sep 2025 – Oct 2025

  Built foundational knowledge of AI and cloud technologies through structured training modules. Collaborated with peers on applied AI exercises as part of the internship curriculum.

Education

• B.E in Information Science and Engineering
  The Oxford College of Engineering
  Information Science and Engineering · 2023 – 2027
• Pre-University
  Swami Vivekananda Rural PU College
  PCMC · 2021 – 2023
• SSLC
  GHS Beratena Agrahara
  2020 – 2021

Skills

• Artificial intelligence 3 to 6 months
• C <3 months
• CSS <3 months
• HTML <3 months
• Python <3 months
• Machine Learning 3 to 6 months
• Oop <3 months
• Advanced DBMS <3 months

Tools / apps / platforms

• GitHub <3 months
• MySQL <3 months
• VS Code <3 months

Projects

• Full-Stack Learning Management System (LMS) ↗
  Full-stack web application

  Goal: build a full-stack web application with user authentication, course management, and content delivery features. Benefit: designed a database-backend architecture to support the platform. Impact: efficiently manages user data and learning modules.

• Smart Travel Itinerary Planner ↗
  Python

  Goal: build an AI-based application in Python that generates personalized travel itineraries using API integrations. Benefit: incorporates user preferences such as budget, interests, and location into the recommendation logic. Impact: delivers optimized, personalized travel plans for users.

• AI Resume Analyzer & Enhancer ↗
  AI

  Goal: analyze resumes for structure, keyword optimization, and ATS compatibility. Benefit: generates improved, job-aligned resume content with enhanced clarity and formatting. Impact: increases a resume's overall impact and alignment with job requirements.

• Autonomous AI Research Assistant ↗
  AI

  Goal: build an AI system capable of autonomous reasoning, iterative planning, and handling complex long-horizon tasks. Benefit: integrates knowledge retrieval and contextual memory into the system's workflow. Impact: enables adaptive decision-making for deep research workflows.

Courses & certifications

• Artificial Intelligence Primer Certification · Infosys SpringBoard

🏆 Achievements & awards

• Participant – OXYHACK · 2026

  Intra College-Level Hackathon, TOCE College

• Volunteer Teacher – NMMS Training Program · 2025

  Nov'2025 – Jan'2026

🤝 Volunteering

• Ashayam Foundation · Volunteer · 2025