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Anirudha-Shinde/README.md

Hi, I'm Anirudha Shinde 👋

Mechanical Engineer | Data Science & Machine Learning Enthusiast

I'm a Mechanical Engineering student at IIT Bombay with a passion for Data Science, Machine Learning, and Reinforcement Learning. I enjoy solving complex problems through innovative projects and contributing to open-source communities. When I'm not coding, you'll find me playing football or exploring new technologies.

Skills

Python
TensorFlow
PyTorch
MATLAB
C++
HTML/CSS

Key Projects

Predicting Combustion Instability | Applied DS and ML Course Project - Developed a Bayesian Neural Network Ensemble using TensorFlow and Keras to predict thermoacoustic instabilities with an RMSE score of 0.028.
- Applied PCA and statistical tests for dimensionality reduction and feature extraction.
- Accurately predicted Equivalence Ratio, Decay Timescale, and Burner Power with robust uncertainty estimates.
- GitHub Repo
Facial Recognition using Siamese Neural Network | Learners Space - Developed a Face Detection System using a Siamese Neural Network with TensorFlow and OpenCV, accurately identifying and verifying my face using UUID-labeled images.
- Applied Image Preprocessing (grayscale conversion, normalization) and Image Augmentation (rotation, flipping, scaling) to enhance model performance and generalization.
- Achieved successful face detection on test data, demonstrating accurate recognition under varying conditions.
- GitHub Repo

Achievements

  • Secured Rank 1234 in JEE Advanced among 0.25+ million aspirants [2022].
  • Achieved 99.40 Percentile in JEE Mains among 1.17+ million candidates [2022].
  • Won Silver Medal in Institute Football League (IFL) [Mar’23].

Let's Connect!

Pinned Loading

  1. CS-772-RC-Robustness-Evaluation CS-772-RC-Robustness-Evaluation Public

    We test robiustness of the language model BERT and RoBERTa on SQUAD 2.0 dev set on both answerable and unanswerable questions. We used three attack strategies negation attack, entity attack, LLM pa…

    Jupyter Notebook

  2. LOLA-Qwen3-0.6b LOLA-Qwen3-0.6b Public

    We have use qwen3-0.6b embedding and fine-tuned qwen3-0.6b to predict best performing headline in the Upworthy A/B testing datset.

    Jupyter Notebook

  3. Bayesian-NN-ME228 Bayesian-NN-ME228 Public

    This our ML project for ME 228 Applied data Science and Machine learning Course.

    Jupyter Notebook

  4. Perplexity-clone-22b2181 Perplexity-clone-22b2181 Public

    Perplexity clone

    Python

  5. CS772-Transliteration CS772-Transliteration Public

    Jupyter Notebook 1