Almog Baku - LLM developer and strategist

README

Hi, I’m Almog - an LLM enthusiast and hands-on consultant passionate about bringing AI innovation to life. For the past couple years, I’ve been:

• Helping organizations build LLM apps from strategy to production
• Founder of GenAI Israel - the largest GenAI community for practitioners (Over 5000+ engineers, CTOs, researchers, and data scientists)
• Serving as Fractional CTO for LLMs - think of “CTO-team for hire”, turning you into an octopus, with an extra pair of hands for LLM projects
• Serial tech entrepreneur; ex-AI infrastructure founder with extensive cloud-native experience (Kubernetes maintainer)

I love turning LLM dreams into reality - whether it’s high-level strategy or diving deep into code. Let’s build something amazing with AI!

Areas of Expertise

• 🧠 Advanced LLM Application Development and Strategy
• 🏗️ Production-Ready AI/ML Infrastructure Architecture
• 🌟 Scalable Generative AI Systems Implementation
• ☁️ Cloud-Native AI Solutions Optimized for Performance
• 🚀 Large-Scale AI Engineering for Real-World Impact
• 🖥️ Startup and entrepreneurial experience in AI and cloud technologies

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Why Work With Me

I’m not your typical consultant. With hands-on experience building dozens of LLM applications from strategic planning to production, I offer practical insights to help you navigate the complex landscape of AI implementation.

You should consider working with me if:

• You’re unsure how to systematically improve your LLM products and need a hands-on expert
• You feel overwhelmed by the flood of AI tools and want practical, experience-based guidance
• You need an expert to evaluate your AI infrastructure and provide actionable, technical recommendations
• You’re struggling to move from PoC to production-ready LLM applications and require direct implementation support
• You want to align your LLM strategy with business objectives through concrete, executable plans
• You want to optimize LLM performance and accuracy or reduce costs at scale with real-world techniques
• You’re looking for hands-on guidance in nurturing AI ideas and innovations into full-fledged products, from strategic conception to market-ready implementation

In the fast-paced LLM field, demos are easy, but production-ready apps are challenging. I bridge this gap using the LLM Triangle Principles, a unique technique I developed to create robust, scalable solutions with real-world impact - crucial for both business success and technical validation.

Approach and Methodology

Drawing from extensive experience in tech leadership and startups, I’ve developed a methodology focused on delivering tangible results:

1. Flexible Engagement: On-site or remote, 2-3 days/week
2. Structured Experimentation: Clear LLM development process
3. Goal-Oriented Sprints: Focused on measurable outcomes
4. Hands-On Problem-Solving: Direct technical involvement
5. Strategic Alignment: LLM initiatives support business goals
6. Continuous Optimization: Refining based on real-world data
7. Startup Pace: Rapid prototyping and agile development

This battle-tested methodology, detailed in my LLM development whitepaper, consistently improves LLM application performance, reliability, and cost-efficiency. It’s proven effective across diverse industries - from cybersecurity and marketing to telecom, B2B, and B2C - leveraging my broad market experience to drive innovation.

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Services

1. Fractional CTO / “CTO-team for hire” (2-3 days/week, hourly rate) Leveraging executive-level expertise for LLM and AI infrastructure projects.

2. Strategic LLM Innovation Workshop Empowering leadership teams with in-depth understanding of LLM technologies and strategies.

3. Technical Talks and Consultations Providing insights on cutting-edge AI infrastructure and large-scale LLM applications.

4. Strategic Consulting Offering expert guidance on LLM for AI-related investments.

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Publications

1. The LLM Triangle Principle: Software Design Principles for Reliable LLM Apps
   An innovative approach to designing robust LLM-based applications for real-world use, derived from hands-on project Software design principles for thoughtfully designing reliable, high-performing LLM applications. A framework to bridge the gap between potential and production-grade performance.
2. Building LLM Apps: A Step-By-Step Guide
   A comprehensive guide to LLM application development, from experimentation to production, based on personal implementation experience.
3. 8 Practical Prompt Engineering Tips for Better LLM Apps
   Essential tips for effective prompt engineering in LLM applications, based on direct implementation experience.
4. Effective AI Infrastructure Explained
   Exploring modern AI infrastructure and its impact on the ML lifecycle, informed by hands-on project work and cloud native expertise.
5. Talks
   From time to time, I give talks on various meetups, podcasts and conferences. You can find some of them on my LinkedIn profile. Make sure to follow me to get updates on upcoming talks.

Open Source Contributions

I’ve been an active contributor to open source projects for over 15 years, regularly participating in various projects. My contributions range from creating new tools to maintaining major projects, or just sending PRs for bugs 🙃

Notable contributions:

• Creator of Raptor.ml: An AI infrastructure project that helps to build and deploy AI to production - the gap between data science and engineering.
• Author of openai-streaming: A Python library simplifying interactions with LLM Streaming API, including for tool using purposes.
• Kubernetes Maintainer: Active contributor since 2016, focusing on cloud-native big data solutions and Kubernetes Native architectures.
• LLM Playground: An interface to play/compare different LLM models directly from your browser.
• Various Contributions: Ongoing involvement in multiple open source projects, consistently pushing for advancements in technology and knowledge sharing.

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Connect with me on LinkedIn, GitHub, or via Email to discuss how we can collaborate on your next LLM project.