Eeman ljaz
FAST
· 2025
Email
i211381@nu.edu.pk
Phone
+923365043256
GitHub
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Academic
Program
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CGPA
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Year
2025
Education
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Address
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Eeman ljaz +923365043256, i211381@nu.edu.pk Satellite Town, Rawalpindi Linkedln: https://www.linkedin.com/in/eeman-ijaz ata Science, Deep Learning, Data Warehouse, Data Visualization, Data Mining, Machine earnin and Reinforcement Learnin : Ulingo - Personalized Urdu Voice Assistant[Ollama, Huggingface, Pytorch] n Urdu voice assistant for students. It will not only provide tailored opportunities from Linked In but, also act as a friend to ave a dail conversation with. emester Pro "ects: redicting and Generating Video Sequences Using Deep Learning : eveloped a deep learning framework for video frame prediction UCFlOl (13K+ videos). Implemented ConvLSTM, redRNN, and Transformer-based models, achieving 15% improvement in SSIM mage Segmentation & Face Recognition on Using Machine Learning: eveloped a K-Means-based segmentation system, improving foreground extraction by 25%. Built a K-NN face recognition odel, achieving 92% accuracy on a lK+ face dataset. omain-Specific Chatbot Using Retrieval-Augmented Generation : uilt a domain-specific chatbot integrating Llama2 & Mistral, improving response accuracy by 30%. Implemented hromaDB for vector search, reducing retrieval time to <lOOms per query. omprehensive Forecasting System with User Interface rained ARIMA & Non-Linear Regression models on 5 years of BTC price data. Achieved 85% forecasting accuracy, reducing rror rates by 20% (RMSE, MAPE). uilding and Analyzing a Data Warehouse for Retail Business: esigned a star-schema data warehouse with lOM+ sales records, optimizing data retrieval. Built a near-real-time ETL ipeline, reducing data integration latency by 35% mazon Product Recommendation on System: eveloped a real-time recommendation system handling 128GB+ product data. Implemented Kafka & Spark streaming, educing recommendation latency to <500ms Work Ex erience Research Assistant, Artificial Intelligence and Machine Learning Lab, Islamabad Developed an automatic cricket highlights generator using computer vision and large language odels, focusing on video summarization and feature extraction. Co-authored a research paper ublished and resented at ICOSST 2023. kills & Tools June 23 - Present echnical Skills achine Learning, Data Visualization, Natural Language Processing, Advanced Statistics, Deep earning, Reinforcement Learning, Computer Vision, Video Synthesis, Big Data Analytics, Data inin , P hon, Java, C++, SQL/NoSQL, JavaScri t, R chievements igh Achiever - Gold Medalist FAST NUCES cored highest GPA in the Department of Artificial Intelligence and Data Science for 3 consecutive semesters. I was also art of the Dean's and Rector's list throughout my degree. warded with a certificate of completion for excellent performance in the STEMSisters Exchange Program, hosted by AIPS nd University of Delaware rainings I Certi ication WS Cloud Foundation Certification ompleted AWS Cloud Formation course offered by AWS academy. FAST NUCES ISLAMABAD CAMPUS
AI enrichment
Eeman Ijaz is a high-achieving AI and Data Science graduate with a Gold Medalist GPA and research experience in computer vision and NLP. He has demonstrated proficiency in building deep learning models, data warehouses, and real-time recommendation systems using tools like PyTorch, Kafka, and Spark.
Skills (AI)
["Machine Learning", "Deep Learning", "Natural Language Processing", "Computer Vision", "Python", "PyTorch", "SQL/NoSQL", "Data Warehousing", "Big Data Analytics", "Kafka", "Spark", "AWS Cloud", "Reinforcement Learning", "Data Visualization", "Data Mining"]
Status: ai_done
Provenance
Source file: —Created: 1777724106