Passionate about developing AI solutions and exploring the frontiers of machine learning. Currently focused on Large Language Models and their applications in real-world scenarios.
- Languages: Python, SQL
- AI/ML: TensorFlow, Scikit-learn, Transformers
- Data analysis and manipulation: NumPy, pandas, matplotlib
- Cloud Basics: AWS , GCP
- Tools: Docker, Git, Django, Flask
PLC-SCADA-generator - 🔭 Current Project
- Implementing Clean Architecture principles
- ✅ Completed - Developed robust parser for complex PLC data structures (UDT, DB) from AWL files using advanced regex patterns
- 📝 Planned - Designing scalable code generation system for PLC and SCADA applications
- Tech: Python, Regex, pytest, MongoDB
- ✅ Completed - Scraping multiple pages with filtered query on demand using Selenium & Celery
- ✅ Completed - Data stored in Cassandra noSQL DB - for future use
- Tech: Python, Selenium, Celery, Cassandra, Docker
- ✅ Completed - Intelligent web crawler that autonomously analyzes company websites
- ✅ Completed - Implemented LLM prompting strategy
- ✅ Completed - Created pipeline for transforming unstructured web content into structured markdown format
- Tech: Python, OpenAI API, Web Scraping Tools
- MIT - Introduction to Computational Thinking and Data Science (Online courses)
- Machine Learning Specialization (Stanford Online / DeepLearning.AI)
- Deep Learning Specialization (DeepLearning.AI)
- Sequences, Time Series and Prediction (DeepLearning.AI)
- TensorFlow Advanced Techniques Specialization (DeepLearning.AI)
- Clean Architecture in Python (educative.io)
- Generative AI for Software Development (DeepLearning.AI)
- AWS Cloud Technical Essentials
- Intro to Data Engineering (DeepLearning.AI)
- LLM Engineering (Udemy) - 🌱 I’m currently learning
- Hugging Face Agents Course - 🌱 I’m currently learning
- PyTorch
- Data Engineering