Machine Learning Engineer | Specializing in NLP & AI Solutions
Passionate about leveraging machine learning to create meaningful impact

• 🌱 Currently deepening my knowledge in machine learning and natural language processing
• 📚 Exploring generative AI applications and building practical projects to solidify concepts
• 🔭 Working on personal ML projects to gain hands-on experience with real-world data
• 💡 Passionate about using technology to create positive societal impact

AI-powered Notion workspace analyzer that provides intelligent insights and recommendations

• Tech Stack: Python, Claude AI API, Rich CLI, Caching
• Key Features: Workspace analysis, AI-driven insights, performance optimization
• Learning Outcome: API integration, working with LLMs, building practical AI tools

Financial analysis tool for calculating the intrinsic value of stocks using fundamental analysis

• Tech Stack: Python, Financial APIs, Data Analysis
• Key Features: DCF modeling, financial metrics calculation, investment analysis
• Learning Outcome: Data processing, financial algorithms, API consumption

Collection of algorithm implementations and problem-solving exercises in Python

• Tech Stack: Python, Data Structures, Algorithms
• Key Features: Classic algorithms, optimization problems, coding challenges
• Learning Outcome: Algorithmic thinking, code optimization, problem-solving patterns

📌 Note: These are learning projects where I'm exploring different aspects of software development and ML. I'm always open to feedback and suggestions for improvement!

• Deep diving into transformer architectures and attention mechanisms
• Building end-to-end ML pipelines with proper versioning and monitoring
• Exploring prompt engineering and LLM fine-tuning techniques

• Deploy a model to production using cloud services
• Contribute to an open-source ML project
• Build a complete MLOps pipeline

• 💼 Connect on LinkedIn
• Check out my repositories below