Farah Hesham
Farah Hesham

AI Automation Engineer

Open to offers · Member since 21 Oct 2026
Location
Giza, Egypt
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Junior

About

Professional summary

I am an AI Automation Engineer with over one year of hands-on experience building LLM-powered automation workflows, RAG chatbots, voice agents, and agentic systems.

I design integrations using n8n, REST APIs, webhooks, OAuth 2.0, and platforms including HubSpot, Airtable, WordPress, Google Drive, and Supabase. My work focuses on automating customer support, SEO content operations, lead capture, scheduling, and internal workflows.

I build RAG solutions using Supabase, PostgreSQL, and pgvector, with a focus on semantic search, embeddings, contextual memory, and retrieval quality. I also work with OpenAI and Anthropic Claude APIs to create reliable conversational and automation systems.

My machine learning background includes Python, data preprocessing, NLP, intent detection, text classification, and deep learning with Scikit-learn, TensorFlow, and PyTorch. I enjoy applying analytical thinking to real-world AI problems.

I hold a Bachelor of Science in Mechatronics Engineering and have experience developing autonomous robotics solutions involving SLAM, LiDAR, EKF localization, obstacle avoidance, and AI-based path planning.

I am especially interested in building practical AI products that improve operational efficiency, customer experience, content workflows, and decision-making.

Skills

16 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Data Stores

Development

Languages & Frameworks

Experience

Career history

AI Automation Engineer Ovidius AI B.V

I design and build AI-powered automation workflows using n8n and Claude Code. I integrate HubSpot, Airtable, and WordPress APIs to automate customer support, SEO content production, and internal operations.

I build RAG-based chatbots on Supabase using PostgreSQL and pgvector, with semantic search, contextual memory, lead capture, and meeting scheduling flows. I also develop voice agents with OpenAI models and ElevenLabs, create multilingual SEO automation, and implement AI quality-monitoring systems that score support conversations and generate weekly reports.

I engineer and iterate prompts to improve the accuracy, consistency, and reliability of LLM-generated responses.

Machine Learning Engineer Intern EConnect

I used Python, pandas, NumPy, Seaborn, and Matplotlib for data handling, preprocessing, analysis, and visualization.

I built and evaluated machine learning and deep learning models using Scikit-learn, TensorFlow, and PyTorch. My work included NLP projects for text analysis, intent detection, and text classification.

I applied mathematical reasoning and structured problem-solving to practical AI and machine learning tasks.

Education

Learning history

Misr University for Science and Technology

Bachelor of Science, Mechatronics Engineering

GPA: 3.27. Graduation Project: Sterilization UV-C Autonomous Robot, awarded Grade A*.

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