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graphics_pul

Abdul Hameed

@graphics_pul
5,0(1)

Building efficient, accurate, and intelligent AI models

Paquistão
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
Hi, I'm Abdul Hameed AI/ML Engineer with 4+ years in Deep Learning, NLP & Computer Vision. I build: facial emotion & expression analysis from video, face recognition (ArcFace), speech-to-text pipelines (Whisper), AI-text detection & NLP models (BERT/RoBERTa fine-tuning), YOLO object detection & custom CNN/LSTM models. Stack: Python, PyTorch, TensorFlow, OpenCV, Hugging Face, FastAPI, AWS. Recent: GPU video pipelines turning 30+ min videos into per-frame CSV reports at 100+ fps. Every model ships with an honest evaluation report. Message me before ordering!... Saiba mais

Habilidades

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graphics_pul
Abdul Hameed
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Deep learning
I will build custom ai machine learning and deep learning models
5,0(1)
Deep learning
I will build face recognition and facial emotion detection ai

Portfólio

Experiência profissional

RoboLogicx

Ai Developer

RoboLogicx • Período integral

Jan 2024 - Present2 yrs 8 mos

AI/ML Engineer specializing in Deep Learning, Computer Vision, and NLP designing, training, and deploying production-ready models for freelance and client projects. - Built and deployed deep learning models for computer vision tasks including face recognition (ArcFace/InsightFace), facial emotion recognition, facial action unit analysis, and object detection (YOLO, CNN architectures). - Developed end-to-end GPU video-analysis pipelines: hardware-accelerated decoding, face matching, speech-to-text transcription (Whisper), and emotion analysis converting 30+ minute videos into structured per-frame CSV reports at 100+ fps on CUDA. - Fine-tuned transformer models (BERT/RoBERTa-class) for NLP tasks such as text classification and sentiment analysis using PyTorch and Hugging Face. - Engineered complete ML workflows: data collection and cleaning, preprocessing, feature engineering, model training, hyperparameter tuning, and honest evaluation reporting (precision/recall, F1, failure analysis). - Created automation solutions for data processing, web scraping, and API integration, reducing manual workloads for clients. - Deployed models as REST APIs using FastAPI and Docker on AWS (EC2/S3), with cost-optimized GPU training setups. - Tools: Python, PyTorch, TensorFlow, OpenCV, Scikit-learn, Pandas, NumPy, ONNX Runtime, Git, Jupyter, Google Colab.

Enigmatix

Backend Developer

Enigmatix • Período integral

Dec 2023 - Apr 20251 yr 4 mos

Built and maintained backend systems for client-facing web applications, designing REST APIs, database schemas, and server-side business logic. Worked on authentication and authorization flows, third-party API integrations, and payment/data processing pipelines. Optimized slow queries and refactored legacy endpoints, cutting average response times significantly. Collaborated with frontend developers and designers in an agile team to ship features on schedule, wrote unit and integration tests, handled deployments, and debugged production issues. Also mentored junior developers and contributed to code reviews and internal documentation.

1 Avaliações
5,0

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Classificação detalhada
  • Nível de comunicação do freelancer
    5
  • Qualidade da entrega
    5
  • Valor da entrega
    5
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    mohamed_alouach

    DZ

    Argélia

    5

    Great experience working with this seller! They delivered a high-quality SVM + LSTM project, even creating the dataset themselves. Very professional, cooperative, and the results were clear and accurate. Highly recommended. Will definitely work again!

    US$ 200-US$ 400

    $

    7 dias

    Tempo

    gig

    Deep learning

    Útil?
    Sim
    Não