Professional Overview
I am a data scientist specializing in large language models with a strong foundation in neural networks, natural language processing (NLP), and deep learning frameworks such as TensorFlow and PyTorch. My proficiency extends to mastering transformer architectures, tokenization techniques, and model optimization strategies, enabling me to excel in developing and scaling advanced machine learning models. I have a deep understanding of deploying models for inference using cutting-edge tools like Hugging Face Transformers and TensorRT, ensuring efficient and effective solutions.My expertise also encompasses the end-to-end data pipeline, where I specialize in leveraging advanced technologies to efficiently extract, transform, and load data. This skill set allows me to handle large datasets and complex data structures, making me adept at uncovering insights and driving data-driven decisions. I am passionate about utilizing my technical skills to solve real-world problems and contribute to the advancement of AI and machine learning technologies. With a strong commitment to continuous learning and professional development, I am always seeking new challenges and opportunities to apply my knowledge and skills in dynamic environments.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
