🎯 Junior AI Developer | Machine Learning | Generative AI
I am a passionate AI & Machine Learning enthusiast with hands-on experience in building end-to-end ML systems and AI-driven applications.
I recently completed my internship as an AI Intern, where I worked on real-world projects involving Machine Learning, Data Engineering, and Generative AI.
I enjoy solving real-world problems using data and continuously learning new technologies in AI.
- Python, SQL, C, Java
- Scikit-learn, Logistic Regression, XGBoost, LightGBM
- Model Training, Evaluation, Feature Engineering
- Pandas, NumPy, Matplotlib
- FastAPI, Flask
- LLMs, Prompt Engineering, RAG (Basics)
- Git, GitHub, VS Code, Docker (Basics)
- Built an AI system to predict drug-drug interaction severity
- Used TF-IDF + Logistic Regression (~83% accuracy)
- Integrated Generative AI for explanations
- Developed APIs using FastAPI
- Built ML models to detect fraudulent transactions
- Used XGBoost, LightGBM, and Scikit-learn
- Evaluated using Precision, Recall, F1-score, ROC-AUC
- Developed full-stack web application
- Implemented role-based access and database integration
- Advanced Machine Learning
- Deep Learning
- Generative AI & LLM Applications
Seeking an opportunity as a Junior AI Developer to apply my skills and contribute to building intelligent and impactful AI solutions.
- LinkedIn: https://www.linkedin.com/in/moulali-saheb-shaik-a7b50b314/
- GitHub: https://github.com/Monu034
- Email: shaikmoulali7228@gmail.com
⭐ “Building intelligent systems with AI to solve real-world problems.”