Passionate about LLMs and AI's power to transform lives. Building impactful ML systems that make a difference.
Building the future with AI, one model at a time
I'm a Junior Data Scientist and Machine Learning Engineer specializing in Large Language Models and cutting-edge AI applications.
My journey in AI is driven by a deep belief in its transformative power. From fine-tuning transformers to deploying production-ready ML systems, I focus on creating solutions that make a real impact.
Currently exploring transformer quantization and edge deployment of LLMs, pushing the boundaries of what's possible with AI.
My technical arsenal for building intelligent systems
Building innovative AI solutions that push boundaries
End-to-end ML pipeline to predict track popularity. Features data collection (Spotify API), NLP on playlist names (NLTK), and feature importance analysis (XGBoost).
Character-level language model using GPT-2 architecture to generate Drake-style lyrics. Learns patterns, style, and structure through deep learning.
Fine-tuned Llama-2 7B model for natural language to SQL query generation. Achieved 0.19 training loss after 5 epochs on specialized dataset.
Complete PyTorch implementation of the groundbreaking transformer paper from scratch. Deep dive into attention mechanisms and architecture.
ML model with interactive dashboard for predicting laptop prices based on specifications. Features comprehensive EDA and model comparison.
Classic Kaggle competition solution with advanced feature engineering and ensemble methods. Comprehensive analysis of survival patterns.
ML pipeline predicting first booking destinations for new users based on behavioral patterns and demographics.
Open to collaborations, research opportunities, and innovative projects