m
memecoinpromo

Syed Ar Rafi

@memecoinpromo
4.9(12)

AI and Machine Learning Engineer Python, PyTorch, ASPNET Core

Bangladesh
Inglés, Bengalí
Parte de la información aparece en idioma inglés.
Sobre mí
I build AI systems that work in production, not demos. Developed multimodal AI pipelines using Whisper, Qwen2.5-VL, and custom hallucination detection - 64% error reduction. I fine-tune models with PyTorch, HuggingFace Transformers, and Scikit-Learn. Also build full-stack web apps: ASP.NET Core 8.0, SQL Server, Stripe, Docker deployment. What I deliver: - ML models and fine-tuning (NLP, CV, multimodal) - AI chatbots and RAG systems - Full-stack web apps with AI integration - Data pipelines and automation 5-star rated. Clean code, on time, every time.... Lee más

Habilidades

m
memecoinpromo
Syed Ar Rafi
desconectado • 

Revisa mis servicios

Integraciones de IA
I will build custom ai and ml models using python and pytorch
Integraciones de IA
I will build an ai chatbot or rag system using llms for your business

¿Quieres trabajar por horas?

Dile a Syed Ar Rafi qué necesitas.

USD 40

/

hora

Experiencia laboral

DataCamp

Machine Learning Engineer

DataCamp • Freelance

Dec 2024 - Jul 20261 yr 7 mos

As a Freelance Machine Learning Engineer for DataCamp's educational channels, I designed and deployed advanced AI models to enhance interactive learning content and automate media processing. NLP & Large Language Models (LLMs): Fine-tuned custom LLMs to automatically generate programming quizzes, course summaries, and contextual educational materials. Built robust NLP pipelines to analyze user engagement and feedback. Computer Vision & Multimodal Systems: Implemented Vision Language Models (VLMs) and advanced computer vision techniques to analyze instructional video content. Integrated Automatic Speech Recognition (ASR) to automate accurate transcriptions and extract key visual concepts from lectures. Pipeline Optimization: Developed scalable, end-to-end machine learning pipelines using Python and PyTorch to process thousands of hours of educational multimedia efficiently. Key Achievements: Streamlined the content creation workflow, reducing manual video processing time by 40%, and improved overall learner engagement through AI-driven personalized recommendations.

12 Reseñas
4.9

(11)
(1)
(0)
(0)
(0)
Desglose de calificaciones
  • Nivel de comunicación del Freelancer
    4.9
  • Calidad de la entrega
    5
  • Valor de la entrega
    4.9
1-5 de 12 reseñas
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