Madhuri Ghadge
@madhurighadge
I build machine learning and retrieval-based AI applications using Python, NLP, and production-ready APIs.
What I'm looking for
I co-developed MathMinds AI at INBENNE, a Streamlit and FastAPI platform that converts handwritten and word-problem mathematics questions into step-by-step solutions. I reduced backend API latency by 40% through Redis caching and Celery-based asynchronous processing, while deploying containerized services with Docker and Hugging Face Spaces.
I've built predictive modeling, computer vision, analytics, and RAG systems using Python, Scikit-learn, PyTorch, PostgreSQL, FAISS, and FastAPI. My work includes credit-risk modeling and responsible AI analysis, hybrid document retrieval with reranking, and two published papers on deep learning optimization and cost-sensitive handwritten mathematical symbol classification.
Experience
Work history, roles, and key accomplishments
Project Intern
INBENNE
Oct 2025 - Mar 2026 (5 months)
Co-developed MathMinds AI, an end-to-end Streamlit + FastAPI application powered by Gemini-2.5-Flash, converting handwritten and word-problem mathematics questions into automated step-by-step solutions. Built multimodal processing pipelines and reduced backend API response latency by 40% using Redis caching and Celery-based asynchronous task processing.
Education
Degrees, certifications, and relevant coursework
KRT Arts, BH Commerce & AM Science College
Master of Science, Computer Science
2024 -
Grade: 8.48
Pursuing a Master of Science in Computer Science with a GPA of 8.48.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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