f
farizqadeer

Muhammad

@farizqadeer
4,8(2)

AI DEVELOPER

Pakistan
Urdu, Hindi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I'm Muhammad Fariz Qadeer, an AI Engineer (BS AI, COMSATS 2025) specializing in LLMs, RAG pipelines, AI Agents, and Deep Learning. I build intelligent chatbots, document Q&A systems, and custom LLM workflows using Llama, Groq, and HuggingFace. Expertise in Neural Networks (CNN, RNN, LSTM, Transformers), NLP, Computer Vision (YOLO, OpenCV), and Vector Databases (Weaviate, FAISS). Delivered 50+ projects across ML, DL, and NLP. Clean code, on time delivery, client satisfaction guaranteed. Let's build something intelligent!... Continua a leggere

Competenze

f
farizqadeer
Muhammad
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Machine learning
I will develop convolutional neural networks and deep learning projects for you
4,8(2)
Modelli generativi
I will built neural neural networks, data science and machine learning python tasks

Portfolio

Esperienza lavorativa

Machine_Label

AI Engineer

Machine Label • Full time

Feb 2026 - Jul 20265 mos

Build AI Agents and Rags and chatbots with langchain, langraph, claude, crewAI, Autogen, flask, vector embeddings, weaviate, chat models etc

AI_Medical Technology

Data Scientist

AI Medical Technology • Full time

Aug 2022 - Dec 20231 yr 4 mos

Delivered AI-driven solutions by preparing data from diverse sources, including client systems and research publications. Built and deployed custom models for predictive analytics, automation, and pattern recognition. Optimized performance with advanced techniques and cloud scaling, delivering production-ready solutions that improved forecasting and drove measurable impact.

2 Recensioni
4,8

(2)
(0)
(0)
(0)
(0)
Valutazione dettagliata
  • Livello di comunicazione del venditore
    5
  • Qualità della consegna
    4,5
  • Valore della consegna
    5
1-2 di 2 recensioni
Ordina per
Più rilevante
    E
    image-docs

    enna_rona

    AE

    Emirati Arabi Uniti

    5

    Excellent work on the deep learning project. The implementation included modern architectures, transfer learning, proper preprocessing, model fine-tuning, and performance evaluation. The code was clean and well organized, and the final results were better than expected. Highly recommended!

    50 USD

    $

    2 giorni

    Tempo

    gig

    Machine learning

    Utile?
    No
    F

    fahad569799

    AE

    Emirati Arabi Uniti

    4,7

    Didn’t deliver poor work

    50 USD

    $

    3 giorni

    Tempo

    gig

    Machine learning

    Utile?
    No