Work Experience

Researching on the optimization of RISs for 6G networks.

Finetuning LLMs for better performance in 6G applications.

RAG and Finetuning combined novel approach for improvised inference times of LLMs.

Training NAVTTC AI Course to Bachelor students on the fundamentals of Artificial Intelligence, including machine learning principles, supervised and unsupervised models, and neural networks.

Designed curriculum and gave lectures on AI, equipping students with hands-on skills in data manipulation, model building, and AI ethics using Python and popular ML frameworks.

Increased students' practical understanding by 40%, as measured by post-training assessments, resulting in high student engagement and project success rates.

Pioneered the development of an AI-driven LLM-based travel booking platform that reduced booking times by 70%, revolutionizing user experience in the travel industry.

Amplified customer retention by 4x by developing a personalized AI travel itinerary planner using an advanced LLM pipeline leveraging finetuning and a multi-modal RAG approach.

Spearheaded the design and development of a gamified Metaverse Learning Management System (LMS), increasing student engagement by 80% through interactive learning methodologies.

Leveraged generative AI and LLMs to refine product ideation and optimize market strategies, resulting in a 50% revenue increase and significant market share expansion.

Drove technological innovation by leading a multidisciplinary team of 8 software developers to deliver a robust LMS solution, bridging education utilizing immersive virtual environments.

Directed the first-ever Data Analytics Workshop at GDSC NUST, attended by over 80 students and industry experts, promoting the practical application of data science principles.

Led a team of 30 data scientists to formulate a comprehensive learning roadmap, organizing workshops and seminars that empowered participants with hands-on skills in data analytics and machine learning.

Managed the financial operations of a central university society with an annual budget of 2 million PKR, ensuring efficient allocation of funds for year-long events and productions.

Developed financial strategies that improved budget utilization by 20% compared to previous tenures, enabling society to host larger, more impactful events.

Liaised with university officials to secure additional sponsorships, bolstering society's resources and capacity for engagement activities.

Delivered data science and machine learning consulting to clients globally, covering industries such as healthcare and finance.

Built machine learning models that increased client revenue by an average of 15-20%, by providing insights and predictive analytics on customer behavior, fraud detection, and sales forecasting.

Provided advanced AI and machine learning training to students and professionals, enabling them to build models using Python and tools like TensorFlow, PyTorch, and Scikit-learn.

Contributed to research on Skin Cancer Detection using ensemble models.

Implemented and tested novel approaches to improve the accuracy of the classification model.

Improved the accuracy of the model to 93.6%.

Designed and implemented a MZI device for improved optical communication.

Designed an OnChip-Grating Coupler achieving a 90% optical transmission efficiency.

Developed a keypoint transformer model for 3D Hand Detection in AR Environments.

Improvised the accuracy of GPT-2 model by 10% at expense of 3% additional parameters.

Designed a 2D Mobile Game using Unity and C#.

Improvised the gameplay mechanics and level design.