Haseeb Ali

Data Science (Machine Learning and Artifical Intelligence)

BigByte Insight • Part time

Sep 2020 - Present • 5 yrs 8 mos

A Data Scientist specializing in Generative AI and Large Language Models (LLMs) focuses on designing, building, and deploying intelligent systems that can understand, generate, and reason with human-like language and data. This role combines strong foundations in data science, machine learning, and deep learning with advanced expertise in transformer-based architectures such as GPT, BERT, LLaMA, and other state-of-the-art models. The professional is responsible for data collection, cleaning, preprocessing, and feature engineering to ensure high-quality inputs for training and fine-tuning models. They work with structured and unstructured data, including text, images, audio, and multimodal datasets. Core tasks include model training, fine-tuning LLMs using techniques like transfer learning, prompt engineering, RAG (Retrieval-Augmented Generation), and parameter-efficient methods such as LoRA and fine-tuning adapters. A Generative AI Data Scientist also evaluates model performance using quantitative metrics and qualitative analysis, focusing on accuracy, robustness, bias, fairness, and ethical AI practices. They optimize models for scalability, latency, and cost, deploying solutions using cloud platforms, APIs, and MLOps pipelines. Collaboration with product managers, engineers, and stakeholders is essential to translate business problems into AI-driven solutions. Overall, this role bridges advanced research and real-world applications, delivering intelligent, reliable, and impactful AI systems.