John Chambers
NUST
· 2025
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BS in Computer Science
CGPA
2.96
Year
2025
Education
School of Electrical Engineering and Computer Science
Address
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DOB
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Career
Current role
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Target role
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Skills
AI, machine learning, software development, NLP, deep learning, blockchain, medical diagnostic tools, resilient software architectures, multilingual AI models, Ant Colony Optimization, VGG-19, BERT, attention mechanisms, blockchain technology, HMAC-SHA256, RSA, TypeScript, DNS client
Interests / quote
Aspiring computer scientist with a strong foundation in AI, machine learning, and software development, seeking to leverage my expertise in advanced technologies like NLP, deep learning, and blockchain to create innovative and impactful solutions. With hands-on experience in developing medical diagnostic tools, resilient software architectures, and multilingual AI models, I aim to contribute to cutting-edge projects that bridge the gap between research and real-world applications. Passionate about driving technological advancements and fostering inclusive innovation, I am committed to utilizing my skills to address complex challenges and deliver meaningful outcomes in a dynamic and collaborative environment.
Verbatim text
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Name: John chambers Company: Lee kong chian school of medicine Phone: Email: Professional Profile Aspiring computer scientist with a strong foundation in AI, machine learning, and software development, seeking to leverage my expertise in advanced technologies like NLP, deep learning, and blockchain to create innovative and impactful solutions. With hands-on experience in developing medical diagnostic tools, resilient software architectures, and multilingual AI models, I aim to contribute to cutting-edge projects that bridge the gap between research and real-world applications. Passionate about driving technological advancements and fostering inclusive innovation, I am committed to utilizing my skills to address complex challenges and deliver meaningful outcomes in a dynamic and collaborative environment. Education BS in Computer Science School of Electrical Engineering and Computer Science , 2.96 Matric / O levels , (2019) Intermediate / A levels , (2021) Bachelors in Computer Science School of Electrical Engineering and Computer Science , (2025) Pre Engineering Punjab College , (2021) Matriculation - Biology Garrison Boys High School , (2019) Internship Experience Nanyang Technological University, Singapore ( 01-Jul-2024 - 16-Aug-2024 ) Vision Architech (Remote) ( 08-Jul-2024 - 09-Sep-2024 ) HPC Lab-SEECS ( 25-Dec-2023 - 27-Dec-2024 ) CarbonTeq ( 03-Jun-2024 - 05-Jul-2024 ) Software Productivity Strategists, Inc. (Remote) ( 06-Nov-2023 - 05-Feb-2024 ) Radar Research Lab, SINES ( 02-Oct-2023 - 08-Jan-2024 ) Projects Enhancing Vehicle Routing with Time Windows: A Machine Learning-Driven Ant Colony Optimization Approach Authored a research paper focusing on integrating machine learning techniques with Ant Colony Optimization (ACO) to improve vehicle routing under time-window constraints. Presented the paper at the FIT 2024 Conference, showcasing innovative approaches to solving logistics and optimization challenges using AI PATHVQA-VGG19-BERT-ATTENTION Developed a medical Visual Question Answering (VQA) system utilizing VGG-19 for image feature extraction and BERT for textual question processing. Incorporated attention mechanisms to enhance contextual understanding, facilitating accurate responses to complex medical queries. Created an interactive web int Secure Information Handling with Blockchain Implemented secure data handling solutions using blockchain technology with cryptographic methods such as HMAC-SHA256 for hashing and RSA for encryption. Developed a decentralized ledger to ensure tamper-resistance and transaction verification in distributed environments. DNS Client Efficient Design Engineered a sophisticated TypeScript-based DNS client with a modular, scalable architecture and robust error handling. Optimized performance using asynchronous processing and railway-oriented programming principles.
AI enrichment
John Chambers is a recent Computer Science graduate with a 2.96 CGPA and multiple internship experiences at institutions like NTU and Lee Kong Chian School of Medicine. His background includes research in AI and machine learning, specifically in medical VQA systems and optimization algorithms, alongside practical projects in blockchain and network engineering.
Skills (AI)
["Machine Learning", "Deep Learning", "NLP", "Blockchain", "Python", "TypeScript", "VGG-19", "BERT", "Ant Colony Optimization", "RSA Encryption", "HMAC-SHA256", "DNS Client Design", "Research & Paper Writing"]
Status: ai_done