Hi, I’m Faisal. I’m an AI Research Engineer specializing in Large Language Models and scalable ML systems.
I leverage deep learning, NLP, and distributed training pipelines to build robust, production-ready AI solutions.
I leverage deep learning, NLP, and distributed training pipelines to build robust, production-ready AI solutions.
I have a background in machine learning and have applied AI-driven solutions in various settings, from large-scale recommendation systems to state-of-the-art natural language models. I’ve managed end-to-end ML pipelines, developed data infrastructure for billions of data points, and fine-tuned transformer-based models for enterprise applications.
Recently, I’ve focused on large language models (LLMs), prompt engineering, and model evaluation frameworks. I’m passionate about pushing the boundaries of NLP, contributing to open-source frameworks, and collaborating with research teams to bring cutting-edge models into production.
Below are some highlights of my recent work. For more details, visit the Projects page.
Leading development of the AI-driven architecture of Do Little Lab, a platform that empowers patients to stand up to insurance giants. By leveraging advanced NLP and LLM-based analysis, we transform complex policies and claim denials into clear, actionable strategies. This solution guides users through the claims process, helping them cut through red tape, save time, and ultimately improve their odds of winning back control over their healthcare outcomes.
Turning live NYTimes and Guardian feeds into quirky, AI-driven xkcd-style comic summaries. By fusing NLP, image generation, and news APIs, Jolly Street Journal simplifies complex news into engaging, visual narratives.
View on GitHub“Faisal proved himself capable of solving problems faced by our team as we worked together. Faisal is a creative and real dynamic person. Will work hard when needed and proved himself to be constantly reliable in the work environment throughout the years.” —Dave Durazzani, Software Architect
Interested in collaborating or discussing opportunities in AI research
and engineering?
Email:
hello@faisals.net