Syed muhammad mujtaba Rizvi
NUST
· 2024
Email
srizvi.bscs20seecs@seecs.edu.pk
Phone
923355974475
LinkedIn
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GitHub
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Academic
Program
BS in Computer Science
CGPA
3.82
Year
2024
Education
School of Electrical Engineering and Computer Science
Address
36 2 Islamabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Python socket programming, Ann, Software quality assurance, Convolutional neural networks, Recurrent neural networks, Computer vision, Data cleansing and analysis, Data science, Coding, Communication skills, Self-management skills, Human resource management, Software debugging, Teamwork, flexibility, Microsoft word, excel, project, Conflict management, Machine learning, CNNs, Python programming, Microsoft Office tools, Artificial intelligence, One shot learning, Facial Recognition, NLP, Embeddings, Finetuned models, Deep Learning, Explainability, Distributed File System, Sockets, Client-server architecture, Data replication, Berkeley's Algorithm, Transformer model, MERN stack, Web application
Interests / quote
A dedicated and results-driven professional seeking a challenging role in the field of machine learning. Leveraging a strong foundation in CNNs, Python programming, and comprehensive knowledge of Microsoft Office tools, I aim to contribute innovative solutions and drive impactful results in a dynamic and collaborative work environment. Committed to staying at the forefront of technological advancements, I aim to collaborate with a dynamic team to deliver innovative solutions and make a tangible impact in the field of artificial intelligence.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Syed muhammad mujtaba Rizvi Details Technical Skills Soft Skills Reference Cell: 923355974475 Email: srizvi.bscs20seecs@seecs.edu.pk Address: 36 2 Islamabad , Pakistan Python socket programming Ann Software quality assurance Convolutional neural networks Recurrent neural networks Computer vision Data cleansing and analysis Data science Coding Communication skills Self-management skills Human resource management Software debugging Teamwork, flexibility Microsoft word, excel, project Conflict management To be furnished upon request. Professional Profile A dedicated and results-driven professional seeking a challenging role in the field of machine learning. Leveraging a strong foundation in CNNs, Python programming, and comprehensive knowledge of Microsoft Office tools, I aim to contribute innovative solutions and drive impactful results in a dynamic and collaborative work environment. Committed to staying at the forefront of technological advancements, I aim to collaborate with a dynamic team to deliver innovative solutions and make a tangible impact in the field of artificial intelligence. Education BS in Computer Science School of Electrical Engineering and Computer Science , 3.82 O-Levels Beaconhouse School System , 6A*s and 2As (2018) A-Levels Beaconhouse School System , 3A*s and 1A (2020) Internship Experience TUKL Lab NUST, SEECS ( 25-Jun-2022 - 09-Sep-2022 ) Best Intern of Summer 2022 Best Internship Project (Facial Recognition System) Project: Facial Recognition System Used one shot learning to recognize faces in real time. Project: Legal Judgement Prediction and Explaination Used NLP techniques to create embeddings Finetuned models to predict legal j Projects Diabetic Retinopathy Grading using Deep Learning Developing a solution to grade Diabetic Retinopathy into its five stages as well as utilising techniques to implement explainability for the model's prediction. Distributed File System Designed a scalable distributed file system using sockets in python. The system had a distributed client-server architecture with data replication capability. Used Berkeley's Algorithm for synchronising the nodes. Song Lyric Generation Used transformer model to generate song lyrics using a given seed value. Code Editor Designed a code editor using MERN stack. Users could create accounts and save their files. The web application could run scripts from multiple languages.
AI enrichment
Syed Muhammad Mujtaba Rizvi is a Computer Science graduate with a 3.82 CGPA and internship experience at TUKL Lab NUST, where he was recognized as the Best Intern. He possesses practical skills in machine learning, computer vision, and full-stack development through academic projects and internships.
Skills (AI)
["Python", "Convolutional Neural Networks", "Recurrent Neural Networks", "Computer Vision", "Natural Language Processing", "Deep Learning", "Socket Programming", "MERN Stack", "Data Science", "Software Quality Assurance"]
Status: ai_done