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@KaranRN

Karan Rajesh Nair

@KaranRN

B.Tech undergraduate specializing in Machine Learning, with robust expertise in Natural Language Processing, Computer Vision, and Deep Learning. Proficient in developing innovative solutions to real-w

B.Tech undergraduate specializing in Machine Learning, with robust expertise in Natural Language Processing, Computer Vision, and Deep Learning. Proficient in developing innovative solutions to real-w

Skill iconPython
Machine Learning
Deep Learning
AI
Computer Vision

Aluva, India

Karan Rajesh Nair

About Me

I am a proactive Machine Learning enthusiast with a commitment to solving challenging problems in dynamic environments. My strengths include natural language processing, computer vision, and deep learning. I enjoy collaborating with interdisciplinary teams to create impactful, real-world solutions.

Education

  • B.Tech in Computer Science and Engineering (with AI)
    • Amrita Vishwa Vidyapeetham, 2021 - Present
  • Higher Secondary Education
    • Rajashree SMM School, 2019 - 2021
  • Secondary Education
    • Rajagiri HSS School, 2015 - 2019

Skills

  • Programming Languages: Python, SQL, JavaScript, TypeScript
  • Machine Learning Frameworks: TensorFlow, PyTorch
  • Technologies: Generative AI, NLP, Computer Vision, ROS, MLops, LLMops
  • Tools: GitHub, AWS, Spark, MongoDB, Comet ML
  • Soft Skills: Communication, Collaboration, Business Acumen

Experience

AI/ML Intern | Amrita Center for Wireless Networks & Applications

  • Worked on mispronunciation detection and localization using wav2vec models.
  • Enhanced model accuracy with rigorous testing in real-world applications.

Achievements

  • HackSphere Hackathon (March 2024)
    • First Prize for developing interactive workbooks from multimedia content.

Courses & Certifications

  • Amazon ML Summer School (Aug 2024)
  • Introduction to LLMs in Python (Jun 2024)
  • Deep Learning for Text with PyTorch (Jun 2024)
  • Deep Learning for Images with PyTorch (May 2024)

Publications

  • LLM Enabled Evaluation System for Taxonomy-Based Question Generation Using Prompt Engineering
    • Enhanced question design through AI, leveraging educator feedback.

Contact