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ahmedmahdy564

Ahmed M

@ahmedmahdy564

AI Engineer

Turkije
Arabisch, Engels
Sommige informatie wordt in het Engels weergegeven.
Over mij
I am an AI engineer with over 8 years of experience building production Python systems and 4 years shipping LLM features. I specialize in building dependable AI agents with tool-calling capabilities, RAG, and robust evaluation pipelines. My expertise includes designing secure, multi-tenant SaaS architectures and autonomous AI trading systems on AWS.... Lees meer

Skills

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ahmedmahdy564
Ahmed M
offline • 
Gemiddelde reactietijd: 2 uur

Bekijk mijn diensten

AI-integraties
I will build a custom ai agent and rag chatbot for your business
VanafUS$ 90 / projectMeer informatie
API en integraties
I will build a scalable django or fastapi backend and rest API
VanafUS$ 20 / projectMeer informatie

Portfolio

Werkervaring

Self_Employed

Team Lead

Self Employed • ZZP

Feb 2025 - Present • 1 yr 8 mos

Team Lead at Progma Tech, a software studio. I lead a small team of engineers and own product, architecture and client communication. Main product: Mizan, a bilingual Arabic/English legal practice management SaaS for law firms in the Gulf (Django, PostgreSQL, multi-tenant, RBAC, AWS). Also built Fahem, an agentic AI research assistant (FastAPI, LangGraph, RAG with pgvector, MCP server, evaluation suite in CI, Terraform on AWS).

Python Prompt Engineer - LLM Backend

Turing • Fulltime

Mar 2024 - Jan 2025 • 10 mos

Built LLM backend services for Turing's AI customer-support programmes (US, remote). - Designed and optimised prompts and Python backend services that improved the contextual accuracy of customer-facing answers. - Built evaluation and fine-tuning pipelines in Python that reduced hallucination, latency and error rates. - Integrated LLM features into production backends under high concurrency, with AWS-based scaling and monitoring, working with AI researchers and product teams.

Yobi_AI Platform

Senior Software Engineer

Yobi AI Platform • Fulltime

Apr 2022 - Mar 2024 • 1 yr 11 mos

Coordinated the backend team for an AI-driven customer-service platform (US, remote), owning performance, scalability and reliability. - Designed high-throughput APIs for LLM integration on Python microservices and AWS, built for fault tolerance and cost efficiency. - Introduced monitoring, automated testing and agile processes (sprint planning, stand-ups, retrospectives) that shortened delivery cycles. - Led cross-functional work with UX and product teams.