Hello! I'm Ribhav Soni, a dedicated and innovative student in Information Technology at the Pune Institute of Computer Technology. With a passion for technology and a knack for problem-solving, I am keen on exploring and developing solutions in AI, machine learning, and data science. My GitHub is a testament to my journey of transforming ideas into impactful projects, demonstrating my commitment to pushing the boundaries of what's possible with technology.
Completed a specialized bootcamp at the Centre for Development of Advanced Computing (CDAC) focusing on Unmanned Aerial Systems (UAS) and Drone Technology. This training has enhanced my expertise in cutting-edge drone applications and technologies.
Secured 4th Place at the international technical event Impetus and Concepts with FinTorr, an innovative financial assistant designed to simplify financial planning and analysis. This project highlights my skills in developing interactive, user-focused applications.
Actively contributed to the IEEE community by organizing and conducting various technical events and competitions, enhancing my leadership and event management skills.
Excelled in multiple hackathons, securing top positions in categories related to AI and machine learning. These experiences have honed my problem-solving abilities and provided opportunities to work on real-world challenges.
Delivered tech talks and workshops on emerging technologies, including AI, ML, and blockchain, at various institutions and tech meetups, inspiring and educating fellow tech enthusiasts.
Bachelor of Engineering in Information Technology
Pune Institute of Computer Technology, University of Pune
2022 - 2026
GPA: 8.77/10
While pursuing my degree, I've engaged in various projects and internships that have significantly contributed to my practical knowledge and technical skills.
Developed an interactive web application to automate the machine learning pipeline, incorporating data uploading, cleaning, profiling, and model training functionalities. Enabled downloading of trained models for easy portability.
Created a chatbot using Python and Streamlit to provide financial insights and predictions. The application leverages NLP techniques and integrates machine learning models for real-time data analysis and user-friendly interaction.
Building a comprehensive system using TensorFlow and EasyOCR for vehicle recognition and license plate reading. The system includes features like speed detection and lane splitting analysis, and real-time monitoring.
Programming Languages: Python, Java, C, C++, SQL, HTML, JSON, Django, CSS
ML/AI Frameworks: TensorFlow, PyTorch, Scikit-learn, OpenCV, Keras, Hugging Face, Seaborn, Langchain, Streamlit, FastAPI, YOLO
Data Processing & Analysis: Pandas, NumPy, Spark, Hadoop
Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure
DevOps & MLOps Tools: Docker, Git, GitHub, MLflow
Databases: MySQL, MongoDB
Other Tools: Jupyter Notebooks, VSCode, Jira, Confluence
I'm passionate about leveraging technology to solve real-world problems and am eager to collaborate on projects that explore the frontiers of AI, machine learning, and data science. Let's connect and innovate together!
Email: ribhavsoni31@gmail.com
LinkedIn: Ribhav Soni
GitHub: ribhav31