Open to opportunities

Alan Momen

@alanmomen

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Backend developer specializing in Python, AWS, and AI-driven automation.

Latvia

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What I'm looking for

I seek roles leveraging Python, AWS, and LLMs to build scalable backend and automation solutions that improve operational efficiency and user experience.

I am an innovative backend developer with over six years of experience designing, developing, and automating backend systems using Python, AWS, and AI-driven technologies.

Over the last two years I have focused on building and integrating solutions powered by large language models (LLMs), delivering real-world efficiency gains across customer support and operational workflows.

I have contributed to 14+ projects in startup environments, collaborating with teams of up to 10 members, and implemented backend architectures that improved suggestion systems and user satisfaction.

I prioritize fast learning, robust data security (including GDPR compliance), and pragmatic automation—leveraging tools like FastAPI, LangChain, Docker, and AWS to drive measurable efficiency improvements.

Experience

Work history, roles, and key accomplishments

Current

AI & Automation Specialist

Current

Stealth Company (Confidential)

Mar 2025 - Present (7 months)

Developing AI-powered solutions to automate high-volume email management tasks including classification, summarization, and response assistance, reducing manual workload and streamlining customer support workflows.

Python Large Language Models Automation)Email Classification Summarization fastAPI AWS NLP Automation

AI & Automation Specialist

Franzoni & Co

Aug 2024 - Mar 2025 (7 months)

Designed and implemented AI-driven automation and custom code solutions that reduced manual task time by 20%, automated >10% of repetitive processes, and improved operational efficiency by 25%.

Python Automation)Process Optimization Workflow Automation AWS Scripting Data Analysis Automation

Backend Developer & Software Architect

MODIFAI Me

Aug 2023 - Jul 2024 (11 months)

Designed and implemented backend architectures for AI-driven consumer engagement, improving suggestion system accuracy by 30% and increasing user satisfaction by 15% while ensuring GDPR-compliant data protection.