🧠 An aspiring Machine Learning & AI enthusiast who loves exploring real-world datasets and experimenting with models.
📊 I enjoy finding interesting datasets online, performing EDA, building ML pipelines, and iteratively improving results.
🤖 Currently focused on Generative AI and Agentic AI, exploring how intelligent agents can reason, plan, and act.
- 🔍 Finding interesting datasets and understanding the story behind the data
- 📈 Performing EDA to uncover patterns and insights
- 🧪 Training and tuning ML models through iterative experimentation
- 🤖 Exploring LLMs, prompt engineering, RAG, and AI agents
- 🧠 Turning notebooks into real-world AI systems
- ✅ Kaggle competitions:
- Titanic: Machine Learning from Disaster
- House Prices: Advanced Regression Techniques
- 📊 Practicing feature engineering, model evaluation, and improvement
- 🧩 Learning by experimentation and error analysis
- 📚 Consistently solving DSA problems to strengthen problem-solving skills
- ⚡ Practicing patterns: sliding window, two pointers, hashing, binary search, recursion & DP
- 🧠 Focusing on writing efficient, optimized solutions
- Large Language Models (LLMs)
- Prompt Engineering
- Agentic AI and RAG models
- MLOps & Deployment
- Backend System Design
- Scalable APIs
(Used mainly for serving ML models & building inference APIs)
- 🚀 Using GitHub Actions for automated CI pipelines (build, test, lint)
- 📦 Familiar with Maven for project build and dependency management
- 🧩 Learning how to integrate ML projects into CI/CD workflows
- 💼 LinkedIn: https://www.linkedin.com/in/mahek-mehra
- 🧩 Kaggle: https://www.kaggle.com/mahekmehra
- 🧠 LeetCode: https://leetcode.com/u/user3630sJ/
“I learn best by experimenting with data, breaking models, and building them better.”