Shreya Mangeshkar

AI and Machine Learning Engineer with hands-on experience building end-to-end Machine Learning, Deep Learning, NLP, and Generative AI applications using Python, Scikit-learn, PyTorch, FastAPI, and Flask. Skilled in developing ML pipelines, CNN-based computer vision models, LLM-powered applications, OPENAI APIs, and model deployment. Passionate about solving real-world problems through scalable AI solutions and continuously exploring Agentic AI and RAG systems.

AI Developer - Edunet Foundation

(2025-02 - 2025-03)

• Developed NLP-based machine learning applications to automate text processing and improve information extraction using Python and Scikit-learn.
• Designed and deployed interactive AI applications with Streamlit, enabling real-time prediction and user-friendly model interaction.
• Performed data preprocessing, feature engineering, and model evaluation to improve prediction reliability and model performance.
• Collaborated on real-world AI use cases by integrating machine learning workflows from data preparation to deployment.

C++ Programmer Intern - Codsoft

(2024-04 - 2024-04)

• Implemented object-oriented C++ programs to solve real-world programming problems while improving code efficiency and maintainability.
• Applied data structures and algorithmic problem-solving techniques to optimize program execution.
• Strengthened debugging, logical reasoning, and software development fundamentals through practical coding assignments.

Internship Trainee - Swiggy

(2022-12 - 2023-01)

• Analyzed backend order data to identify operational patterns and support business decision-making.
• Collaborated with internal teams to streamline order processing workflows and improve operational efficiency.
• Generated analytical insights using structured datasets to support data-driven process improvements.

Bachelor of Technology - AIML - Sagar Institute of Research and Technology, Bhopal (2026)