KP

KETHA PHANEESH

B.Tech AI & ML student · Aspiring Software Development Intern

Kakinada, Andhra Pradesh, India

@phaneesh_ketha

0 followers

🎓 B.Tech in Artificial Intelligence and Machine Learning at Aditya College of Engineering and Technology · Graduating 2027

About

B.Tech student in Artificial Intelligence and Machine Learning with hands-on experience building full-stack applications, Python/Flask APIs, and AI-based projects. Strong foundation in Data Structures & Algorithms, problem-solving, and modern web/mobile development stacks.

Experience

  • Full Stack Development with Python
    Datavalley India Pvt. Ltd.
    May 2026 – Jun 2026

    Completed an online internship (in collaboration with APSCHE) building full-stack applications with Python.

  • Artificial Intelligence
    SkillDzire
    May 2025 – Jun 2025

    Applied fundamental AI concepts in a short-term, project-based internship program.

Education

Skills

  • CSS <3 months
  • HTML <3 months
  • Python <3 months
  • Java <3 months
  • JavaScript <3 months
  • Node.js <3 months
  • Tailwind CSS <3 months
  • Flask <3 months
  • React Native <3 months
  • Next.js <3 months
  • API Integration Understanding <3 months
  • Data Structures and Algorithms <3 months
  • Oop <3 months
  • Ngrok <3 months
  • Advanced DBMS <3 months

Tools / apps / platforms

  • Git <3 months
  • GitHub <3 months
  • Google Maps API <3 months
  • MongoDB <3 months
  • VS Code <3 months

Projects

  • AI Travel Planner — Personalized Itinerary Generator
    Next.js, Node.js, MongoDB, Google Maps API, Tailwind CSS, Framer Motion

    Architected a full-stack itinerary planner with JWT authentication, letting users generate, save, and manage trips and budget dashboards. Integrated Google Maps APIs for real-time route visualization; resolved React hydration issues to improve SSR reliability in a Tailwind CSS + Framer Motion UI.

  • SYNC — Remote Workspace: Remote PC Management App
    Python, Flask, REST APIs, React Native, Android SDK, Ngrok, psutil, pycaw

    Built a full-stack Android app and a standalone Flask REST API to remotely manage Windows PCs over cellular networks using secure Ngrok tunneling. Integrated Windows OS libraries (psutil, pycaw) to enable low-latency audio control and remote process termination triggered from mobile payloads.

Courses & certifications

  • Fundamentals of Responsible AI · Infosys Springboard
  • Data Analytics Job Simulation · Deloitte
  • Machine Learning with Python · CognitiveClass.ai (IBM)
  • Oracle Fusion AI Agent Studio — Certified Foundations Associate · Oracle University

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