Rutvik Chauhan

Rutvik Chauhan ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ❖ EDUCATION: ➢ M.SC (AI&ML) Gujarat University, Ahmedabad 2022 - 2024 Coursework: Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning, NLP, Statistics, Numerical optimization, Linear Algebra. ➢ B.SC (PHYSICS) Gujarat University, Ahmedabad 2017 – 2020 ❖ EXPERIENCE: ➢ B-edge Tech services, Ahmedabad Junior AI Developer July 2025 – Present ➢ atQor, Ahmedabad December 2024 – May 2025 Associate Data Scientist Gained foundational knowledge of Azure cloud platform and Azure AI services through hands-on training. Developed proof-of-concept projects by acquiring working knowledge of FastAPI for building high-performance APIs and Docker containerization basics for application deployment and environment consistency. Applied cloud-based AI services to solve real-world business challenges. Contribution with team members to design and implement technical solutions leveraging Azure's ecosystem. ➢ Petpooja, Ahmedabad May 2024 – December 2024 Data Science Intern Contributed to data validation and quality assurance processes to ensure accurate and clean datasets for model training. Designed and wrote domain-specific prompts to enhance model input quality and response accuracy, Conducted thorough testing of datasets to identify inconsistencies and ensure quality before model training. Executed data preprocessing tasks such as data cleaning, transformation, and feature engineering to prepare datasets for analysis. Collaborated with the data science team to support model development and evaluation workflows. ❖ SKILLS: ➢ ➢ ➢ ➢ ➢ ➢ ➢ ➢ Programming & Frameworks: Python, FastAPI, Langchain, Huggingface, Langgraph Cloud & AI Services :- Microsoft Azure AI Services (Azure OpenAI, Document Intelligence, AI Search) Database: MySQL, MongoDb, Azure Cosmos, Pinecone, ChromaDB, FAISS Machine Learning :- Linear Regression, Logistic Regression, Decision Trees, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbour (KNN), Naïve Bayes, K-means Clustering Data Analysis & Pre-processing :- EDA, Data Cleaning, Feature engineering, Data Validation Deep Learning & NLP :- ANN, CNN, RNN, LSTM, GRU, Transformers, GAN Generative AI :- Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Pydantic Version Control:- Git, Github ❖ PROJECTS: 1. Medical Chatbot using Llama-2 This project uses GenAI technologies such as Langchain for LLMs interactions, Pinecone Vector Database for storing vectors, Llama-2 as a quantized model that generate responses on the basis of trained PDFs as a Datasets. 2. Cartoony an image with OpenCV in Python An Analysis of project involvement of applying effects of K-means clustering on Image by reducing noise, extracting edges, and applying smoothing and Threshohlding values. 3. Landslide Prediction with Machine Learning Algorithm Based on geographical datasets pertaining to Landslide on earth, ML classificational models have been applied before Data pre-processing, EDA and Feature engineering. ❖ PUBLICATION: Automated Detection of Coral Bleaching Using YOLOv8: A Deep Learning Approach for Reef Health Monitoring. The Academic – International Journal of Multidisciplinary Research, Vol. 2, Issue 12, December 2024. ISSN:-X. [Impact Factor: 7.2] ❖ LANGUAGES: English, Gujarati, Hindi