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Preran A R

CS Engineering student · AI/ML Intern

Bangalore, KARNATAKA, India

@preran_a_r

0 followers

🎓 B.Tech in Computer Science Engineering — AI & Machine Learning at RV University · Graduating 2028

About

Computer Science Engineering student specializing in AI/ML with hands-on experience building full-stack AI-powered applications. Strong foundation in DSA, OOP, SQL, and modern deployment workflows including Docker, GitHub Actions, and Linux.

Experience

  • INTERN IN THE CS TEAM
    HFCL Limited · Bangalore, India
    Sep 2024 – Present

    Built full-stack AI-powered applications including an education management system, an emotion-aware conversational system, and an AI trading intelligence platform. Delivered hackathon projects end-to-end and managed codebases with GitHub Actions CI/CD on Linux.

Education

  • B.Tech in Computer Science Engineering — AI & Machine Learning
    Computer Science · 2024 – 2028

Skills

Tools / apps / platforms

2 to 5 years 2 to 5 years Several years of experience.
Git VS Code
1 to 2 years 1 to 2 years A year or two of steady use.
MySQL
6 to 12 months 6 to 12 months Most of a year behind them.
GitHub Actions
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Linux Docker

Projects

  • AI Emotion-Aware Conversational System
    Generative AI, sentiment analysis, intelligent interaction workflows

    Generative AI-based conversational assistant focused on sentiment analysis and intelligent interaction workflows.

  • Hoot & Howl Learning Platform
    Authentication, role-based workflows, database integration, responsive UI/UX

    Full-stack education management system with authentication, role-based workflows, database integration, and responsive UI/UX.

  • Aion - AI Trading Intelligence Platform
    LLM workflows, real-time market APIs, sentiment monitoring, technical pattern recognition, automation workflows

    AI-powered trading intelligence platform integrating real-time market analysis, sentiment monitoring, technical pattern recognition, and intelligent automation workflows.

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