Rutvik Joshi Career Portfolio

Welcome to my portfolio! I hold a bachelor’s degree in Civil Engineering, and I am on a transformative journey to leverage the power of Artificial Intelligence (AI) to reshape and elevate the fields of industries and infrastructure.
Checkout my Heroku-Webpage for my latest End-to-End AI models.

Educational Background:

I have successfully completed my undergraduate studies in Civil Engineering from VJTI(University of Mumbai), where I gained a solid foundation in the principles and practices that underpin the development of robust infrastructure.

AI for Industries and Infrastructure: Now, my focus has shifted towards harnessing the capabilities of Artificial Intelligence to pioneer innovative solutions for industries and infrastructure. I am passionate about utilizing AI in ways that have never been explored before, aiming to contribute to the evolution of these crucial sectors.

A New Era of Development: My mission is to usher in a new era of development, one where cutting-edge AI technologies enhance our capacity to deal with climate change, smart cities and new ways of construction robotics leading to unprecedented advancements. I am excited about the potential to optimize processes, enhance efficiency, and drive sustainable progress in industries and infrastructure projects.

Exploring the Uncharted: With a commitment to pushing boundaries, I am eager to explore uncharted territories where AI meets engineering and the beyond. Through this, I aim to bring forth solutions that not only meet but exceed the evolving needs of our industries and contribute to the creation of smarter, more resilient autonomous systems and infrastructure.

Thank you for joining me on this journey as I explore the exciting intersection of Engineering and Artificial Intelligence, seeking to redefine the way we approach and develop industries and infrastructure.

Areas of Expertise:

1. Artificial Intelligence: Possess a strong foundation in machine learning algorithms, including regression, classification, clustering, and deep learning, with the ability to apply these techniques to solve real-world problems. Skilled in utilizing statistical and machine learning techniques to extract insights from vast datasets, enabling data-driven decision-making. Interested in anamoly detection, image compression, object detection, enabling the development of intelligent vision systems. Used Reward based system in Deep Q-Network for landing lunar lander using a Reinforcement Learning model.

2. Data Science: Skilled in utilizing statistical and machine learning techniques to extract insights from vast datasets, enabling data-driven decision-making.

3. Software Engineering: Proficient in a range of programming languages, including Python, C++, with experience in designing, developing, and deploying scalable software solutions. Familiar with Django, React and Threejs frameworks for web development.

4. Computer Vision: Expertise in image segmentation, object detection, and object tracking, enabling the development of intelligent vision systems.

Technical Skills:

• Programming Languages: Python, C++, Bash/Shell scripting, HTML, LaTeX
• Databases: MySQL, MongoDB
• Machine Learning: Regression, Classification, Clustering, Dimensionality Reduction, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Decision Trees, Random forest, Boosting Methods, Neural Networks, Deep Learning, CNN, Reinforcement Learning, Statistics, Probability Distribution
• Computer Vision:Image Segmentation, Object Detection, Object Tracking
• Libraries:
  1. ML Frameworks : Scikit-learn, Tensorflow, Keras, NLTK, Scipy, Pytorch, Theano, Huggingface, XGBoost.
  2. Training platforms : Jupyter Notebook, Amazon AWS Sagemaker, AzureML
  3. Visualization & Dashboards : Plotly, Bokeh, Matplotlib, Seaborn, SymPy
  4. Miscellaneous : Numpy, Pandas, Pillow, eli5, Beautiful Soup, imbalanced-learn, PyQt5, PyLaTeX.
• Tools: MATLAB, Git, Google Colab, Visual Studio code, Pycharm, LinuxOS, Anaconda, Excel.