Haider Sultan

As an experienced AI Engineer with over 6 years of coding expertise and over 1 year of professional experience, I possess a strong passion for utilizing cutting-edge Artificial Intelligence technology to solve complex problems across various domains. My extensive knowledge of MLOps and ML Pipelines allows me to efficiently orchestrate and optimize AI models, while my expertise in Cloud Computing enables me to seamlessly deploy and maintain applications at scale.

In my previous role, I excelled in designing and improving AI models, while collaborating with Full Stack Web and Mobile Applications development teams to ensure seamless integration of AI technology. My dedication to delivering exceptional results has enabled me to tackle niche challenges in diverse spheres of society.

As a driven and devoted individual, I have earned a reputation among my peers as a hardworking and dedicated team player. My commitment to excellence is matched only by my passion for lifting others up and ensuring that everyone around me reaches their full potential. Whether through lending a helping hand, sharing my knowledge and expertise, or simply leading by example, I take pride in my ability to inspire and motivate those around me to strive for greatness. With a focus on collaboration and teamwork, I am always eager to roll up my sleeves and get to work, driven by a deep-seated desire to see others succeed.

With a passion for driving positive change, I am eager to collaborate with like-minded professionals in a dynamic team environment. With a focus on leveraging my unique skills and expertise, I am committed to tackling niche societal problems head-on, using the transformative power of cutting-edge AI technologies to drive excellence and create a better world for all. Whether in the realm of healthcare, finance, or beyond, I believe that the convergence of AI and human ingenuity holds the key to unlocking unprecedented progress and achieving ambitious goals. With a keen eye for innovation and a relentless commitment to success, I am eager to join forces with other driven professionals who share my vision and drive for creating a brighter future.

Associate AI Engineer

September 2022 - April 2023

❮•❯ Developed Machine Learning models for solving various problems.
❮•❯ Researched different Deep Learning algorithms and tools to determine optimal implementation.
❮•❯ Employed MLOps for the development of end-to-end AI Pipelines.
❮•❯ Orchestrated backend for scalable AI Mobile and Web Apps.
❮•❯ Handled Cloud Operations and Containerizations for timely delivery of applications at scale.

AI Engineer Intern

March 2022 - September 2022

❮•❯ Conducted research to develop new Machine Learning solutions for problems.
❮•❯ Analyzed data to identify trends and potential problems and devise solutions.
❮•❯ Collaborated with different teams on project tasks and development.
❮•❯ Developed prototype full stack application to solve niche problems with AI.
❮•❯ Learned about Cloud Computing and its use in scalable AI Applications.

University of Engineering and Technology Lahore

Bachelor's degree, Computer Science

2019 - 2023

❮•❯ FYP

As the project leader for a research initiative, I am spearheading the collection and digitization of a vast array of Unani medicine data, laying the foundation for groundbreaking advancements in the field.

Our team is developing a groundbreaking prototype Clinical Decision Support System (CDSS) and Research platform, which will provide unprecedented insight and understanding of this fascinating field. Our findings will be meticulously documented in a comprehensive research thesis, ensuring that this work will serve as a valuable resource for generations to come.

As cutting-edge Language Models (LLMs) continue to emerge, we are fervently exploring their potential to facilitate diverse research tasks, as well as to empower decision support systems and recommendation engines for Clinical Decision Support Systems (CDSS). Our aim is to develop a range of highly effective language models, each tailored to support specific use cases and challenges within the field.