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Report abuse**AI / ML Enthusiast | MSc Data Science **
📍 Jamnagar, Gujarat, India | 📧 dudhagaradharm53@gmail.com | 📞 +91 9265173633
Passionate AI/ML enthusiast and MSc Data Science graduate with hands-on experience in Machine Learning, Deep Learning, and Generative AI. I build end-to-end ML pipelines, multi-agent LLM systems, and production-ready AI applications. Currently gaining industry experience as a Data Science & ML Intern at BrainyBeam Info-Tech Pvt. Ltd., Ahmedabad.
| Degree | Institution | CGPA | Year |
|---|---|---|---|
| M.Sc. Data Science | Marwadi University (NAAC A+), Rajkot | 8.8 / 10 | 2024 – 2026 |
| B.Sc. Information Technology | Marwadi University (NAAC A+), Rajkot | 8.4 / 10 | 2021 – 2024 |
Data Science & Machine Learning Intern · BrainyBeam Info-Tech Pvt. Ltd., Ahmedabad Jan 2026 – Apr 2026
🌾 Khedut Sahayak — Multi-Agent AI Agricultural Advisory System Jan 2026 · Marwadi University
Architected a 4-agent GenAI system integrating GPT-4, Gemini 1.5 and Llama 3 via LangChain for real-time crop health, pest diagnosis, weather and market advisory. Built a RAG pipeline using Azure OpenAI embeddings with FAISS vector search. Deployed as a multilingual Streamlit app in Hindi and Gujarati.
GPT-4 Gemini 1.5 Llama 3 LangChain LangGraph RAG Azure OpenAI FAISS Streamlit
🐾 Wildlife Species Recognition — Deep Learning & XAI Aug 2025 · Marwadi University
Fine-tuned EfficientNetB2 via staged transfer learning to classify ~90 wildlife species on Google Colab. Integrated Grad-CAM saliency maps for explainability. Exported model to TensorFlow Lite for edge and mobile deployment.
TensorFlow Keras EfficientNetB2 Transfer Learning Grad-CAM TFLite OpenCV
🤖 Resume Ranker — GenAI App 2025
Streamlit app using Azure OpenAI to score and rank up to 10 PDF resumes against a job description — delivering instant, LLM-driven candidate shortlisting.
Python Azure OpenAI Streamlit PDF Parsing
🏙️ Urban City Analysis — Predictive ML System Mar 2025 · Marwadi University
Menu-driven ML pipeline predicting crime occurrence, accident severity and passenger demand from real-world urban datasets. Applied ensemble methods with GridSearchCV tuning and heatmap/boxplot visualisations.
Python Scikit-learn Pandas NumPy Matplotlib Seaborn Random Forest Gradient Boosting
| Area | Skills |
|---|---|
| Languages | Python, SQL, MySQL |
| ML / Deep Learning | Scikit-learn, TensorFlow, Keras, PyTorch, EfficientNet, Transfer Learning, CNN, ANN, Grad-CAM, Feature Engineering, EDA |
| Generative AI & LLMs | LangChain, LangGraph, RAG, HuggingFace, Azure OpenAI, FAISS, NLP, Prompt Engineering, Multi-Agent Systems |
| Data & Visualisation | Pandas, NumPy, Matplotlib, Seaborn |
| Frameworks & Tools | Streamlit, FastAPI, Git, GitHub, Jupyter, Google Colab, Microsoft Azure, VS Code |
I'm open to collaborating on ML projects, GenAI applications, XAI research and Kaggle competitions. Feel free to reach out!
Resume Ranker is a Streamlit app that uses Azure OpenAI to score and rank up to 10 PDF resumes against a job description. Upload your job description and resumes, and instantly see which candidates…
Python 1
This project focuses on analyzing urban city data using machine learning techniques to extract insights related to traffic, transportation, safety, and housing. The goal is to provide data-driven s…
Python 1
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