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Building Scalable Machine Learning Solutions

Hey, I'm Akshat More, Enthusiastic about crafting comprehensive ML solutions using Python, Scikit-learn, and TensorFlow. Passionate about MLOps and developing scalable, practical AI solutions for real-world challenges.

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About Me

A passionate developer skilled in Machine Learning, AI, and full-stack development, with experience in building data-driven applications and integrating LLMs for intelligent solutions.

Pune, India

Education

Savitribai Phule Pune University 2022 - 2026

Bachelor of Engineering in Artificial Intelligence and Machine Learning CGPA: 8.45

Experience

NV Analytical SolutionsJan 2025 - Apr 2025

Machine Learning InternPune, India

Built NLP chatbot using LangChain & LLMs to answer natural language queries.
Processed 10K+ HCES records for analytics and dashboard creation.
Improved chatbot accuracy by 30% through prompt optimization.

Tech Stack

PythonPandasNumpyTensorflowScikitLearnOpenAI APIChromaDBLangChainFlaskSQLTableauVercelHugging FaceFAISSPineconeFastAPIGitC++GitHub

EXPLORE MY CREATIONS

Projects

DocQuery: AI-Powered PDF Semantic Search

An AI-powered tool for semantic search and Q&A over PDFs using LangChain and OpenAI embeddings.

- Enabled 90%+ accurate semantic search using OpenAI embeddings.
- Built a scalable RAG pipeline with ChromaDB for indexing.
- Reduced document search time by 70% with responsive UI.

Python Langchain ChromaDB Streamlit OpenAI

GitHub Live Site

DocQuery: AI-Powered PDF Semantic Search screenshot

Food Delivery Time Estimator

Machine learning model predicting food delivery times with high accuracy using XGBoost & Random Forest.

- Optimized model performance (MAE: 3.79 mins, R²: 0.74) using GridSearchCV.
- Applied SHAP for interpretability.
- Handled real-world dataset with traffic & weather features.

Python Streamlit XGBoost Random Forest Pandas

GitHub Live Site

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Contact Me

akshatmore04@gmail.com WhatsApp

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