Arsalan Khan

I am a dedicated Artificial Intelligence, Web Development, and Data professional pursuing a Ph.D. in Computer Science at FAST University, one of Pakistan's top institutions, following my MSAI and BSCS degrees from Air University. My academic background, including ranking in the top 3% of my undergraduate class and earning an IBM Data Science Professional certification, provides a strong foundation.

My professional experience includes working as a Junior Machine Learning Engineer at Neurog in Islamabad for approximately 11 months (Apr 2023 - Feb 2024). In this role, I developed Python-based automated cryptocurrency trading bots, implemented diverse trading strategies, and enhanced my Deep Reinforcement Learning skills.

Before that, I gained practical web development experience as a Full Stack Web Intern at the National Center for Cyber Security (NCCS) in Islamabad for approximately 5 months (Nov 2021 - Mar 2022). There, I built a confidential website utilizing Flask, HTML, CSS, and JavaScript.

My passion for sharing knowledge is demonstrated through my teaching roles. I am currently employed as a Lecturer at the National University of Computer and Emerging Sciences (FAST) in Islamabad, where I teach Machine Learning concepts, algorithms, and applications to MSBA students, and Web Programming to FinTech students. Previously, I served as a Visiting Lecturer at Pny Training in Rawalpindi during 2023, teaching AI, Big Data Analytics, and Full Stack Web Development. I also worked as an AI Lab Instructor at Air University for about 5 months (Sep 2022 - Jan 2023), mentoring 60 students.

Across these roles, I have offered services in AI/ML development, data analysis, full-stack web development (Python/Flask, MERN stack components like React/Node/Express, PHP/Laravel, HTML/CSS/JS), Big Data Analytics, algorithmic trading strategy implementation, and technical instruction/mentoring. My project portfolio includes developing a Student Stress Prediction Android App, Crypto Trading Bots, and NLP-based prediction models. I am eager to apply my 4 years of combined professional and academic experience to drive innovation in a dynamic role.