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abdullahjw

Abdullah Arshad

@abdullahjw

Artificial Intelligence Engineer

Pakistan
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I’m an AI/ML Engineer with 2+ year of hands-on experience in building real-world machine learning and deep learning solutions. My passion lies in developing robust applications that leverage the power of artificial intelligence and machine learning to address real-world challenges. I have extensive experience with various architectures, including ANNs, CNNs, RNNs, LSTMs, and GRUs, NLP, Anomaly Detection, Time Series Analysis, and Generative AI including fine-tuning (LoRA, Q-LoRA, PeFT) and deploying AI models, LLMs with RAG pipelines and chatbot integration.... Plus d’infos

Compétences

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abdullahjw
Abdullah Arshad
hors ligne • 

Voir mes services

Analyse de séries chronologiques
I will forecast the future from the data which vary by time
De100 $US / projetPlus de détails
Vision par ordinateur
I will train or fine tune your model to detect the specific objects
De100 $US / projetPlus de détails

Portfolio

Expérience professionnelle

AI-Powered RAG File Management System for HapPhi Web Application.

HapPhi • Freelance

Dec 2024 - May 2025 • 5 mos

Built an AI-powered File Management System for the Happhi web app, enabling intelligent data extraction, storage, and search across documents, images, audio, and video. Utilized GPT-4o for image analysis, Whisper-1 for audio transcription, and smart chunking for structured content processing. Stored data in MongoDB & MilvusDB with Zilliz integration for vector storage. Implemented semantic search using RAG & Elasticsearch, enhancing retrieval efficiency and scalability.

Malware Domain Detection Model.

Ebryx.Pvt. • Temps plein

Jul 2024 - Dec 2024 • 5 mos

Developed an AI-driven machine learning model to detect and block malicious domains before they reach the server. The model identifies and classifies threats into 43 malware families, achieving 94.98% accuracy using GRU architecture. It ensures real-time threat prevention by automatically blocking malicious requests while forwarding legitimate traffic. This proactive solution enhances network security, providing efficient and reliable cyber threat detection.