Hasnain Gul
AI/ML Engineer | Deep Learning Specialist | RAG Expert
Building enterprise-grade AI applications with expertise in NLP, Deep Learning, and RAG Architectures
Building enterprise-grade AI applications with expertise in NLP, Deep Learning, and RAG Architectures
Aspiring AI/ML Engineer with a strong foundation in Deep Learning, NLP, and RAG Architectures. Proven experience in building full-stack AI applications, including enterprise-grade disinformation detection systems and educational tools.
Proficient in Python, FastAPI, and Scikit-learn, with a Bachelor's degree from UET Mardan. Passionate about deploying scalable AI solutions to solve real-world problems.
My expertise spans from developing multi-modal analysis systems to creating intelligent RAG-based applications that ground answers in user-provided content, significantly reducing model hallucinations.
BSc Computer Software Engineering
University of Engineering and Technology (UET), Mardan
CGPA: 3.1 | Currently in 8th semester
Intermediate (Pre-Engineering)
Govt College Peshawar
Marks: 955/1100
Matriculation
Read Public School and College, Harichand
Marks: 928/1100
Professional certifications and internship experiences
GIKI (8-Week Bootcamp)
2024
Intensive training in Deep Neural Networks with hands-on experience in backpropagation and model optimization
Download CertificateCoursera (DeepLearning.AI)
2024
Comprehensive ML specialization covering supervised and unsupervised learning algorithms
Download CertificateCoursera
2024
Advanced RAG implementation techniques for building grounded AI applications
Download CertificateCoursera
2024
Foundational understanding of AI technologies and their business applications
Download CertificateGIK Institute (GIKI)
8 Weeks
Completed intensive training in Deep Neural Networks with hands-on capstone projects focusing on Advanced Neural Networks
Download Certificateitssolera
3 Months
Gained practical experience in AI/ML development and deployment of production-grade solutions
Download FormEnterprise-grade platform to detect and visualize disinformation campaigns in real-time using multi-modal analysis (text, image, video) to calculate "Truth Scores" for content verification. Utilized Graph Databases to map narrative spreads and visualize relationships between data points.
Full-Stack RAG application to assist O/A Level students by processing uploaded PDF notes. Engineered a retrieval system to strictly ground answers in user-provided content, significantly reducing model hallucinations. Deployed the backend using FastAPI to serve real-time user queries.
Predicted PV generation and user load at 10-minute intervals using real-world data from SkyElectric/SkyLabs. Achieved low Mean Absolute Error (MAE) by optimizing ML/DL models in a Kaggle competition using time-series analysis techniques.
Modeled air quality levels using supervised learning techniques including Linear Regression and Random Forest. Performed end-to-end data lifecycle management: data cleaning, visualization, and model evaluation in Google Colab.
Showing 4 projects
UET Mardan, Mardan