About

Haziq Jeelani is a seasoned ML Engineer specializing in Computer Vision, Data Engineering, and Full Stack Development. With over a decade of experience, Haziq has integrated data, statistical, and ML/AI models into existing systems and built them from the ground up. His expertise spans data scraping, collection, validation, preprocessing, analysis, visualization, and feature extraction. He is proficient with a wide range of tools and frameworks, including Python, R, SQL, NoSQL databases, cloud platforms, and various APIs. His recent work includes building automated systems pipelines, conversational AI agents, and implementing open-source and commercial large language models like GPT, BERT, and Llama.

Haziq is currently a Perception Engineer at McKenna, leveraging Neural Radiance Fields and Signed Distance Functions for 3D video and image generation. His research focuses on transformers and large language models, with a keen interest in the latest advancements and techniques such as Low Rank Adaptation (LoRA) and Quantization. He is also dedicated to sustainable development, having volunteered extensively with international organizations and founded The Gihon Foundation. Haziq's diverse background in research, writing, advocacy, and technology makes him a valuable asset for any project aiming to harness the power of machine learning and AI for real-world solutions.