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@VShirgaonkar

Vedant Shirgaonkar

@VShirgaonkar

SE CSE & Data Science Undergrad @DJSCE | AI/ML Enthusiast | Aspiring ML Engineer | DJSCE'27

SE CSE & Data Science Undergrad @DJSCE | AI/ML Enthusiast | Aspiring ML Engineer | DJSCE'27

Skill iconTensorFlow
Machine Learning
scikit-learn
Deep Neural Network
Pandas NumPy

Mumbai, India

Vedant Shirgaonkar | Machine Learning & AI Enthusiast

πŸ‘‹ Hi there! I'm Vedant Shirgaonkar, a Computer Science & Data Science undergraduate passionate about building AI-driven solutions that make an impact. I thrive on solving real-world problems through Machine Learning, NLP, and Generative AI, with hands-on experience in developing and deploying models for automation, analytics, and education.

πŸ”₯ About Me

  • πŸ† Hackathon Track Winner at Quasar 3.0 for an offline MCQ generation system using in-house LLMs.
  • πŸ€– ML Engineer at Heart – Skilled in LLMs, Deep Learning, and NLP, with projects in AI-powered MCQ generation and predictive analytics.
  • πŸš€ Always Learning – Certified in Machine Learning & Generative AI from DeepLearning.AI, IBM, and AWS.

πŸ— Featured Projects

πŸ“Œ Automated MCQ Generation Using LLMs

πŸ”Ή Built an AI-powered system to generate MCQs from PDFs and text documents.
πŸ”Ή Developed adaptive learning to adjust difficulty based on quiz performance.
πŸ”Ή Integrated Mistral-7B & Gemma-2B for domain-wise MCQ generation.
πŸ”Ή Tech Stack: Python, PyTorch, SQLite, Flask, Hugging Face, Ollama.
πŸ”— GitHub Repository

🏎 F1 Driver Position Prediction Model

πŸ”Ή Built an ML model to predict F1 race standings using historical data.
πŸ”Ή Engineered features like driver experience, lap times, and weather conditions.
πŸ”Ή Applied PCA for dimensionality reduction and optimized model selection.
πŸ”Ή Tech Stack: Python, Scikit-learn, Pandas, NumPy, Matplotlib.
πŸ”— GitHub Repository


⚑ Tech Stack

πŸš€ Languages: Python, C++, Java, SQL, JavaScript
🧠 ML Frameworks: PyTorch, TensorFlow, Scikit-learn
πŸ“Š Databases: SQLite, MySQL
πŸ”§ Tools & Platforms: Flask, Hugging Face, Ollama, Streamlit, Git


🎯 Achievements

πŸ† Quasar 3.0 Hackathon Winner – Developed an offline MCQ generation system without external API dependencies.
πŸ“œ Certified ML & AI Professional – DeepLearning.AI, IBM, AWS.


πŸ“¬ Let's Connect!

πŸ”— Portfolio & GitHub: VedantShirgaonkar
πŸ”— LinkedIn: linkedin.com/in/vedant-shirgaonkar
πŸ“§ Email: [email protected]

πŸš€ Passionate about AI, NLP, and building real-world solutions? Let’s innovate together at the hackathon!