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Hi, I’m Begad Tamim, an AI engineer and software developer with a passion for turning complex problems into practical, scalable solutions. I enjoy building intelligent systems—from edge-friendly LLMs on Raspberry Pi to RAG-based chatbots and cloud-deployed NLP pipelines. I thrive in collaborative environments, love rapid prototyping, and continuously learn across ML, NLP, and cloud technologies to deliver real value. I’m committed to delivering robust software that people actually use, and I’m always looking for ways to bridge research ideas with real-world impact through clean design, solid architectures, and thoughtful user experiences.…Hi, I’m Begad Tamim, an AI engineer and software developer with a passion for turning complex problems into practical, scalable solutions. I enjoy building intelligent systems—from edge-friendly LLMs on Raspberry Pi to RAG-based chatbots and cloud-deployed NLP pipelines. I thrive in collaborative environments, love rapid prototyping, and continuously learn across ML, NLP, and cloud technologies to deliver real value. I’m committed to delivering robust software that people actually use, and I’m always looking for ways to bridge research ideas with real-world impact through clean design, solid architectures, and thoughtful user experiences.

Begad Tamim

AI Engineer, Full Stack Developer, Back-End Developer, +5

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Hi, I’m Begad Tamim, an AI engineer and software developer with a passion for turning complex problems into practical, scalable solutions. I enjoy building intelligent systems—from edge-friendly LLMs on Raspberry Pi to RAG-based chatbots and cloud-deployed NLP pipelines. I thrive in collaborative environments, love rapid prototyping, and continuously learn across ML, NLP, and cloud technologies to deliver real value. I’m committed to delivering robust software that people actually use, and I’m always looking for ways to bridge research ideas with real-world impact through clean design, solid architectures, and thoughtful user experiences.…Hi, I’m Begad Tamim, an AI engineer and software developer with a passion for turning complex problems into practical, scalable solutions. I enjoy building intelligent systems—from edge-friendly LLMs on Raspberry Pi to RAG-based chatbots and cloud-deployed NLP pipelines. I thrive in collaborative environments, love rapid prototyping, and continuously learn across ML, NLP, and cloud technologies to deliver real value. I’m committed to delivering robust software that people actually use, and I’m always looking for ways to bridge research ideas with real-world impact through clean design, solid architectures, and thoughtful user experiences.

Available to hire

Hi, I’m Begad Tamim, an AI engineer and software developer with a passion for turning complex problems into practical, scalable solutions. I enjoy building intelligent systems—from edge-friendly LLMs on Raspberry Pi to RAG-based chatbots and cloud-deployed NLP pipelines. I thrive in collaborative environments, love rapid prototyping, and continuously learn across ML, NLP, and cloud technologies to deliver real value.

I’m committed to delivering robust software that people actually use, and I’m always looking for ways to bridge research ideas with real-world impact through clean design, solid architectures, and thoughtful user experiences.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Arabic

Fluent

Work Experience

AI Engineer Intern at eSpace

September 30, 2025 - October 12, 2025

Developed a RAG-based chatbot using LangChain, FastAPI, and Llama models; integrated with Google Chat via n8n workflows on Google Cloud Platform. This improved onboarding efficiency and boosted response accuracy by 40%. Designed and optimized multi-user chat history management and adaptive learning pipelines (quiz & chapter generation), leveraging prompt engineering and caching strategies to reduce latency by 30% and enhance user engagement.

Software Development at ICPC/ACPC SysOps Team

September 30, 2024 - October 12, 2025

Collaborated with the ICPC team to design and implement NLP-based systems for efficient contest management in real-time. Utilized cloud computing to deploy and scale NLP models, enabling automated participant support, enhanced data analysis, and improved overall contest operations.

AI Engineer at Twasool Group

May 31, 2024 - October 12, 2025

Designed and implemented an intelligent lighting control system using Raspberry Pi Pico for a smart home environment, integrating local and global control through MQTT and voice assistant compatibility.

Graduation Project - Be Modern at Be Modern (B.E.M.O)

July 1, 2025 - October 12, 2025

Engineered a personal AI assistant with tools for mail and task management, smart home control, and Q&A, using LangChain, Gemini, Scikit-Learn, and Tavily. Enabled real-time cognitive interaction on a Raspberry Pi with local fine-tuned models for wake-word detection, speech, and emotion recognition, processing input in about 0.5 seconds.

NexChat (Multimodal AI Chatbot) at NexChat

September 1, 2024 - October 12, 2025

Integrated 5 transformers across vision, speech, and text using LangChain, Gemini, and Hugging Face, deployed on Streamlit for real-time, user-friendly, history-aware RAG-based interaction.

Medical Service Robot at Self-initiated Project

June 1, 2024 - October 12, 2025

Engineered an autonomous medical robot using Python, OpenCV, Raspberry Pi, and sensors for AI-driven COVID-19 patient screening, vital monitoring, and automated medication delivery to minimize human contact.