Realtime Search AI Hackathon (Hybrid) Powered by SerpApi x SundAI

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Senior software engineer/security engineer at SerpApi, LLC. With more than 8 years experience in big data, web scrapping, reverse engineering search engines and offensive security.

Scrapping and reverse engineering search engines for SerpApi

Samir Akarioh is a Developer Relations professional at Scalingo, where he combines his technical expertise with a marketing mindset to connect developers with the company’s platform. On LinkedIn he shares insights about his work, and his GitHub presence is listed under the @SC-Samir handle. Samir’s role focuses on fostering community engagement, providing developer support, and promoting Scalingo’s services to a broader audience. His background reflects a blend of development advocacy and strategic marketing, positioning him as a key bridge between the engineering teams and the developer ecosystem.

Developer Relations, Technical writing, Content creation (articles & webinars), Community engagement, Git/GitHub, Shell scripting, Automation scripts, Cloud, Containers, DevOps, Load testing

Scalingo DevRel projects repo: maintains demos, docs, and automation scripts for Scalingo; Articles & webinars: produces technical how‑tos on cloud, containers, DevOps and load‑testing; Conference materials: prepares slides and demo code; CI/automation examples and GitHub-hosted samples to help developer onboarding.

As a Senior Software Development Engineer at Amazon, I lead breakthrough initiatives in Edge AI and distributed computing, focusing on developing privacy-preserving AI frameworks that optimize performance while reducing environmental impact. My innovations have achieved 65% reduction in cloud computing requirements and 10% improvement in device energy efficiency, contributing to annual savings exceeding $300M while reducing data center energy consumption by 185,000 MWh annually. My technical contributions include 65+ patents (175+ citations) implemented across 100M+ devices globally. Recently, I architected a groundbreaking Edge GenAI framework featuring innovative LLM orchestration and context management, revolutionizing how AI processing occurs on resource-constrained devices.

- Edge AI Innovation: Privacy-preserving frameworks, efficient LLM deployment • Sustainable Computing: Energy-efficient AI processing, carbon footprint reduction • Distributed Systems: Smart sensing, heterogeneous computing optimization • Climate Tech: AI solutions for environmental impact • Ethical AI: Responsible AI development, privacy-first architectures

Leading Edge AI innovation at Amazon, focusing on: • Edge GenAI framework with efficient LLM orchestration • Sustainable computing architecture reducing energy consumption by 10% • Privacy-preserving AI processing solutions • Context management for edge devices

I'm a Conversational AI Consultant, bringing over a decade of experience in management science and data analytics. I specialize in leveraging machine learning and natural language processing to drive business decisions and enhance user experiences. I hold a degree in Data Sciences and Artificial Intelligence from Université Paris Dauphine. My expertise includes conversational AI and data analytics, with a strong background in programming and the implementation of machine learning models. I'm passionate about shaping the future through innovative data-driven strategies.

Conversational AI, Natural Language Processing, Machine Learning, Data Analytics, Cloud Computing, Big Data, prescriptive analytics, sustainable investments, chatbot development, data-driven strategies.

B2B Conversational AI agents