Ahmed Ibrahim
Verified Expert in Engineering
Software Engineer and Developer
Matay, Madinet Matay, Matai, Menia Governorate, Egypt
Toptal member since March 31, 2026
Ahmed is an AI software engineer with extensive experience deploying generative AI, LLM, and multimodal systems. He is skilled in machine learning modeling using Scikit-learn, TensorFlow, and PyTorch, and is proficient in transformer-based architectures, RAG pipelines, and agentic systems using Python and AWS. With a proven track record of translating AI research into high-impact systems, including 15 peer-reviewed publications, Ahmed excels at building scalable, cloud-native ML solutions.
Portfolio
Experience
- Python - 8 years
- Scikit-learn - 8 years
- Machine Learning - 8 years
- Web Development - 7 years
- PyTorch - 5 years
- FastAPI - 5 years
- LangChain - 2 years
- LangGraph - 2 years
Preferred Environment
Windows, Linux, Visual Studio Code (VS Code), PyCharm, LangChain, LangGraph, Python, FastAPI, Scikit-learn, PyTorch, Retrieval-augmented Generation (RAG), Agentic AI, RAG Architecture, Pydantic, Asyncio, RAG Pipelines, SQL, Vector Databases, Machine Learning, Artificial Intelligence (AI), Large Language Models (LLMs), AI Agents, AI Pipeline, Meta Llama, Natural Language Processing (NLP), Speech-to-Text (STT), Whisper, Quantization, Transcription, Generative Artificial Intelligence (GenAI), Machine Learning Operations (MLOps), AI Model Training, AI Research, OpenAI API, Prompt Engineering, PostgreSQL, REST APIs, Embedding Models, Data Architecture, Scalable Vector Databases, Server-side PDF Generation, Streamlit, Workflow Automation & System Integration, AI Design, AI Programming, Azure, AI Architecture, Architecture, Multi-agent Systems, Context Engineering, Trading, LangSmith, Agentic RAG Systems, AI Tools, Full-stack, Google Cloud Platform (GCP), MongoDB, Node.js, TypeScript, Gemini, OpenAI, Optical Character Recognition (OCR), Model Evaluation, Text-to-Speech (TTS), AI Hallucinations Management, Agentic AI Systems, Agentic Frameworks, Debugging, LLM Integration, Orchestration, Model Context Protocol (MCP), Large Language Model Operations (LLMOps), Multi-agent Orchestration, Terraform, Alembic, Software Engineering, Time Series Forecasting, Model Development, Data Science, Communication, Data Engineering, Data Pipelines, Demand Forecasting, Feature Engineering, Databricks, AI Engineering, React
The most amazing...
...solutions I've built are voice and text agentic interactions with LLM-driven reasoning for a real-time multimodal customer support assistant.
Work Experience
GenAI Data Scientist
Artech
- Developed an Agentic AI solution using Google ADK to translate control objectives into GCP Organization Policy custom constraints.
- Implemented Terraform-based cloud governance and policy automation solutions for GCP service enablement initiatives.
- Built and evaluated multi-agent AI pipelines for policy generation, validation, testing, and workflow optimization.
- Created model documentation and supported iterative GenAI development workflows using OpenSpec.
AI Python Engineer
RFTONICS
- Designed and deployed a retrieval-augmented generation (RAG) application for intelligent document querying using LangChain, Pinecone, and OpenAI GPT, implementing embedding-based retrieval, semantic search, and session and context-aware responses.
- Built a real-time multimodal customer support assistant using LangGraph and LiveKit, enabling voice and text agentic interactions with LLM-driven reasoning.
- Developed Whisper-based automatic speech recognition (ASR) services for voice-to-text processing and downstream LLM tasks.
- Engineered deep learning systems for classification, segmentation, and object detection using Python, TensorFlow, Keras, and PyTorch, achieving best-in-class accuracy and reducing training time by 50% through GPU optimization.
- Mentored junior engineers in applied machine learning and generative AI development, Python engineering, and production AI workflows.
- Authored 15 peer-reviewed publications in AI and machine learning, demonstrating strong research-to-product translation capabilities.
Experience
AWS Bedrock RAG Application
Intelligent Agent
ML-based Structured Light Mode Classification
Education
Master's Degree in Computer Science
Paris-East Créteil University (UPEC) - Paris, France
Bachelor's Degree in Computer Science
Assiut University - Assiut, Egypt
Certifications
IBM AI Engineering
IBM | via Coursera
Introduction to Neural Networks and PyTorch
IBM | via Coursera
Deep Learning with Keras and TensorFlow
IBM | via Coursera
Machine Learning with Python
IBM | via Coursera
Skills
Libraries/APIs
Scikit-learn, PyTorch, TensorFlow, Pandas, Pydantic, Asyncio, OpenAI API, REST APIs, XGBoost, PySpark, Node.js, React
Tools
Whisper, PyCharm, Terraform
Languages
Python, SQL, JavaScript, Java, C#, TypeScript, C++
Frameworks
LangGraph, Agentic Frameworks, Streamlit, Alembic
Paradigms
Object-oriented Programming (OOP), Model Context Protocol (MCP)
Platforms
Windows, Linux, Visual Studio Code (VS Code), LangSmith, Amazon Web Services (AWS), AWS IoT, Google Cloud Platform (GCP), Databricks, Azure
Storage
Data Pipelines, PostgreSQL, MongoDB
Other
LangChain, FastAPI, Computer Science, Web Development, Biometrics, Machine Learning, Data Analysis, Deep Neural Networks (DNNs), Deep Learning, Retrieval-augmented Generation (RAG), Agentic AI, RAG Architecture, RAG Pipelines, Vector Databases, Artificial Intelligence (AI), Large Language Models (LLMs), AI Agents, AI Pipeline, Meta Llama, Natural Language Processing (NLP), Speech-to-Text (STT), Transcription, Generative Artificial Intelligence (GenAI), MLflow, Machine Learning Operations (MLOps), AI Model Training, AI Research, AI Automation, Prompt Engineering, Embedding Models, Scalable Vector Databases, AI Design, AI Programming, AI Architecture, Architecture, Multi-agent Systems, Context Engineering, Agentic RAG Systems, AI Tools, Gemini, OpenAI, Optical Character Recognition (OCR), Model Evaluation, Text-to-Speech (TTS), AI Hallucinations Management, Agentic AI Systems, Debugging, LLM Integration, Orchestration, Pinecone, Large Language Model Operations (LLMOps), Multi-agent Orchestration, Amazon Bedrock AgentCore, Software Engineering, Time Series Forecasting, Model Development, Data Science, Demand Forecasting, Feature Engineering, Linear Regression, AI Engineering, Quantization, Document Processing, Data Architecture, Server-side PDF Generation, Workflow Automation & System Integration, Full-stack, Communication, Data Engineering, Monitoring, Stakeholder Management, Model Deployment, Big Data, Trading
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