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Ankur

AI & Machine Learning Intern at Edunet Foundation

Contacto

Bhopal, Madhya Pradesh, India
Disponible en CazVid
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Competencias

PythonExpert

Proficient in Python for developing AI models, data analysis, and automation tasks.

Machine LearningAdvanced

Skilled in designing, training, and deploying machine learning models using frameworks like TensorFlow and scikit-learn.

NLP (Natural Language Processing)Advanced

Experienced in building NLP applications such as speech recognition, text summarization, and language modeling.

Data VisualizationIntermediate

Capable of creating insightful data visualizations using Plotly and Tableau to communicate complex data effectively.

Team CollaborationIntermediate

Effective in working within multidisciplinary teams to develop innovative AI solutions and meet project goals.

Educación

Master of Technology
Vellore Institute of Technology
Completed 2027
Bachelor of Technology
LNCT Group of Colleges
Completed 2024

Resumen

Motivated M.Tech student with internship experience in AI app development, specializing in NLP and data-driven solutions. Adept at deploying AI models and collaborating on innovative projects.

Logros Clave

  • Developed and deployed an AI web app utilizing OpenAI Whisper for lecture audio transcription, summarization, and flashcard creation.
  • Implemented end-to-end NLP solutions, enhancing accessibility and learning efficiency for educational content.
  • Contributed to open-source AI projects and showcased skills on Hugging Face Spaces, gaining recognition in the AI community.

Experiencia

AI & Machine Learning Intern

Edunet Foundation (AICTE – IBM Skills Build)
2026 - 2026

Built and deployed an AI web app (AI Study Buddy) using OpenAI Whisper to convert lecture audio into transcripts, summaries, and flashcards (live on Hugging Face Spaces). Designed the end-to-end NLP pipeline and delivered the product in an agile, cross-functional team setting within a 2-month timeline

Habilidades

PythonMachine LearningNLP (Natural Language Processing)Data VisualizationTeam Collaboration
Publicado en CazVid - 4 jul 2026
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