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kfoura/README.md

Kaushik Nagarajan

Software Engineer

CS @ Texas A&M, minors in Statistics and Film Studies

Incoming SWE Intern @ Viasat

Skills

Python · Java · C/C++ · JavaScript/TypeScript
Flask · Django · Node.js · React
MongoDB · Redis · SQL · AWS · GitHub Actions

Personal Interests

  • Movies
    • Favorite Movies: La La Land, The Princess Bride, Singin' in the Rain, The First Omen, Twelve Angry Men
    • Favorite Genres: Horror, Musicals
  • Books
    • Favorite Books: No Longer Human, All the Lovers in the Night, The Picture of Dorian Gray
    • Favorite Genres: High Fantasy, Chinese Cultivation Novels
  • Music:
    • Favorite Artists: Hiromi Iwasaki, Mikiko Noda, Michiru Kojima
    • Favorite Albums: Wish, Rose C'est La Vie, Michille
    • Favorite Genre: City Pop
  • Games:
    • Favorite Games: NieR: Automata, SOMA, NieR: Replicant, The Talos Principle, Subnautica

Contact

LinkedIn · kaunaga123@gmail.com

Pinned Loading

  1. Doom-RL Doom-RL Public

    Python

  2. vlr-data vlr-data Public

    Python

  3. HTTP-Server HTTP-Server Public

    C++ 1

  4. What-Song-Will-I-Like What-Song-Will-I-Like Public

    Uses MFCCs of many different songs and compares their similarity to a new song that I input.

    Python 1