I’m a Generative AI & Large Language Model (LLM) focused engineer with strong foundations in Machine Learning and Deep Learning.

I enjoy designing systems that understand, generate, and reason with data from classical ML pipelines to modern transformer-based architectures.

• 🤖 Focused on Artificial Intelligence, Machine Learning, Deep Learning & Generative AI
• 🔬 Frameworks: TensorFlow, Keras, PyTorch
• 🧠 LLM Stack: LangChain, Hugging Face, Transformers
• 🌱 Outside tech: gardening, nature, wildlife photography
• 😴 Debugging break = quality sleep

“Passion fuels consistency, and consistency builds mastery.”

• 🔬 Machine Learning & Deep Learning models
• 🧠 Neural Networks, CNNs, classical ML pipelines
• 🧩 Data analysis, feature engineering & experimentation
• 🤖 Exploring Generative AI & LLM-based systems
• 📓 Research-oriented notebooks and academic projects

• 🧠 LLM-powered applications (prompt pipelines, chains, agents)
• 📚 Transformer-based models for NLP tasks
• 🔍 Retrieval-Augmented Generation (RAG) systems
• 🧪 Model fine-tuning & experimentation
• 📓 Research-driven notebooks and reproducible experiments

• Programming Languages: Python, Java, C, C++, Assembly (x86), JavaScript, Shell Script, GDScript, MATLAB/Octave
• ML/DL: PyTorch, TensorFlow, Keras, Scikit-learn
• LLM / Generative AI: GeminiAI API, Transformers, Hugging Face, LangChain, LangGraph, Prompt Engineering, RAG, Fine-tuning (LoRA / QLoRA), Vector Embeddings, AI Agents
• Data Science: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, SciPy
• Databases: MySQL, MongoDB, PostgresQL ChromaDB
• Backend: FastAPI, REST APIs
• Tools & Environment: Git, GitHub, Jupyter Notebook, Linux, Bash, VS Code, LaTeX, AutoCAD, Godot Engine 4.7, Canva

• 🌱 Gardening & green living
• 📷 Wildlife & nature photography
• 🧠 Deep thinking & continuous learning

⚡ Always learning. Always building. Always evolving.