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Chirag Dhongadi

About

Detail

India
Contact Chirag regarding: 
Flexible work
Starting at USD1.21/hour
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Internships
Starting at USD193/month

Timeline

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Résumé

Jobs verified_user 0% verified
  • K
    Data Science Intern
    Kokoro.Doctor
    Jan 2026 - Current (4 months)
    Developing a LangGraph-based prescription generation system that processes multi-format patient reports, extracts critical clinical information, and generates structured, context-aware medical prescriptions. Designed multi-step LLM workflows using Lang Chain and LangGraph to analyze laboratory reports, medical history, and diagnostic data for accurate clinical summarization. Implemented Retrieval-Augmented Generation (RAG) pipelines with Hugging Face models to ensure evidence-grounded, reliable, and context-aware medical recommendations. Built and deployed secure, production-ready FastAPI endpoints to enable real-time prescription generation and scalable clinical decision support integration.
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    Machine Learning Intern
    AICTE – TechSaksham (Microsoft & SAP CSR Initiative)
    Dec 2024 - Feb 2025 (3 months)
    Developed a deep learning-based plant disease detection system under the TechSaksham AI program. Trained a CNN using TensorFlow/Keras to classify potato leaves into Healthy, Early Blight, and Late Blight. Implemented data preprocessing and image augmentation to improve generalization and reduce overfitting. Achieved 97% classification accuracy and deployed the model in an interactive application.
Education verified_user 0% verified
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    B.Tech in Computer Science and Engineering (Specialization: Data Science)
    Gyan Ganga Institute Of Technology And Sciences
    Sep 2022 - Current (3 years 8 months)
    Bachelor of Technology (B.Tech) in Computer Science and Engineering (Data Science Specialization) Developing strong foundations in Machine Learning, Deep Learning, Artificial Intelligence, Data Structures, Algorithms, and Statistical Methods, with hands-on experience in building real-world AI and data-driven applications.
Projects (professional or personal) verified_user 0% verified
  • M
    MedRAG
    Jan 2026 - Current (4 months)
    Built a Retrieval-Augmented Generation (RAG) system to generate structured medical revision notes from multi-format clinical documents. Implemented OCR with Tesseract and document ingestion for PDF and image preprocessing. Designed FAISS-based semantic retrieval using HuggingFace embeddings to ground LLM outputs. Integrated Ollama-hosted MedGemma with prompt engineering for adaptive revision generation.
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    Calorie AI
    Oct 2025 - Current (7 months)
    Built an XGBoost regression model to predict calories using age, gender, height, weight, duration, and heart rate. Performed preprocessing, feature engineering, and EDA using Pandas and Matplotlib to enhance model performance. Achieved R2 = 0.9988 and MAE = 1.48 through hyperparameter tuning and cross-validation. Deployed the trained model using Flask to deliver real-time calorie predictions via an interactive web interface.
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    Potato Leaf Disease Detection
    Feb 2025 - Current (1 year 3 months)
    Built a CNN model using TensorFlow/Keras to detect Healthy, Early Blight, and Late Blight potato leaves. Applied data preprocessing and image augmentation techniques to improve model generalization and reduce overfitting. Achieved 97% classification accuracy and deployed the model through an interactive Streamlit web application.