Meet the voices.

Developers, builders, and curious minds. Get to know our hosts and guests.

GUEST

Mohammed Kamel

1 linked episodes

Mohammed Kamel is a Seattle-area software engineering leader and currently a Software Development Manager at Amazon, where he leads development for the Amazon Ads Partner Network. He has built a career spanning large-scale advertising systems, event-driven marketing platforms, software quality engineering, and developer tools. Mohammed Kamel is a Software Development Manager at Amazon Ads, leading the Amazon Ads Partner Network in Seattle. Since joining Amazon in 2017, he has progressed through Software Engineer and Senior Software Engineer roles focused on Performance Ads and the Advertising Partner Network before moving into engineering management in March 2023. His expertise includes building scalable advertising and partner-platform systems, event-driven architectures, marketing technology, experimentation and A/B testing, notification pipelines, data aggregation services, and operational software delivery. Earlier at Groupon, he worked on Inbox Management—an event-driven marketing messaging system that used technologies such as Apache Storm, PostgreSQL, Play Framework, and Redis. He helped architect the push-notification stack, redesign plugin workflows for experimentation, build Redis-sharding capabilities, and develop unified APIs for user-related data. Mohammed began his career in Egypt as a software engineer, including roles at Sakhr Software and Coltec, where he worked on document-management software and front-end infrastructure for an NLP system. He later joined Microsoft, contributing to Team Foundation Server and the Roslyn compiler project as a Software Development Engineer in Test. He holds a Bachelor of Science in Computer Science from Ain Shams University and a Master’s degree in Computer Science from Seattle University.

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GUEST

Mostafa Nageeb

1 linked episodes

Results driven product & tech leader with experience that spans consumer, backend, and infrastructure products. Co-founder of getvoila, restaurant quality frozen meals by award winning chefs. Raised more than 9€ Million to date from top tier VCs and media ventures. Beloved by many customers across Germany, Austria, and the Netherlands. Ex-Delivery Hero, Zalando, and Booking.com. Experience and knowledge in: Food delivery, logistics, travel, fashion, e-commerce, APIs, cloud infrastructure, and developer tools.

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GUEST

Mostafa Sakr

1 linked episodes

Building a Unicorn with a small team + AI agents 3x CTO for Dutch startups and an Antler Alumni. Work experience between Egypt, India, KSA, USA and the last 9 years in the Netherlands. First Egyptian Joined Antler. participated for 2 years in Leading Bugaboo tech migration across 40+ countries to scale it up after acquisition by Bain Capital(180 $ Billion VC) to the next acquisition by Mubadala(302B $ VC).

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GUEST

Moustafa Mahmoud

1 linked episodes

Field CTO & Sr. AI Specialist @Microsoft | Ex-AWS Field CTO | UK Exceptional Talent Visa Holder I am Moustafa Mahmoud, a Field CTO & Sr. Generative AI Specialist @Microsoft, recognized as an Exceptional Talent by the UK government. With 14+ years of experience in AI, cloud, and data solutions, I have led 100+ customer engagements, working closely with CXOs to shape AI, data, and cloud strategies, turning ideas into scalable products. At Microsoft, I specialize in enterprise AI adoption, Generative AI, and cloud transformation, helping customers architect, implement, and scale AI-powered solutions using Azure OpenAI, Cognitive Services, and AI accelerators. I lead strategic AI initiatives, drive proof-of-concept projects, and ensure customers maximize Azure AI capabilities. Previously at AWS as a Field CTO, I worked with enterprise leaders to define AI/ML, cloud, and data strategies, guiding them from vision to execution. I helped migrate data lakes to data meshes, optimize AI/ML platforms, and build modern data architectures. I also contributed to AWS Glue (Apache Hudi connector) and led the DataOps community. With experience at Onfido, EPAM, and Etisalat, I have designed and delivered AI-driven automation, cloud cost optimization, and large-scale data platforms. I actively share insights through publications, open-source projects, and my YouTube channel GarageEducation, empowering businesses and developers to leverage AI and data for real-world impact. 🔹 Key Areas: Generative AI, AI Strategy, Enterprise Architecture, Cloud & Data Platforms, Machine Learning, AI Accelerators, DataOps, Digital Transformation

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GUEST

Osama Abdelaal

2 linked episodes

I work on making neural networks run on memory that behaves like physics rather than like logic. At Fraunhofer IPMS I characterize ferroelectric FeFET and FeMFET devices, then build the training methods that let real networks tolerate what those devices actually do. Analog compute-in-memory is fast and efficient. It is also noisy, drifty, and limited in precision. Most of the interesting work lives in the gap between what a device can physically deliver and what a network needs to stay accurate. My PhD at TU Braunschweig, supervised by Prof. Dr. Thomas Kämpfe, sits in that gap: device and algorithm co-design for FeFET compute-in-memory for edge neural inference in agentic applications. One idea I keep coming back to is that device noise does not have to be treated as damage. Bit errors from an imperfect memory cell start to look like a regularizer if you train with them instead of against them. The agentic half of that topic is not theoretical for me. Alongside the research I design and run production agentic AI systems: multi-agent LLM architectures handling autonomous sales, marketing, and customer service workflows against real users, with the orchestration, context, tooling, and evaluation layers that keep them standing up under load. Building those systems is what convinced me that inference cost and latency are the binding constraint on where agents can realistically be deployed. That is the demand side of the same problem the hardware work approaches from the supply side. Before that I spent several years on the applied end of edge inference. Model compression and quantization-aware training for low-precision hardware at Gemesys. Transformer-based vision systems running in real time on edge GPUs for automotive manufacturing at Unicontrol. Multi-agent reinforcement learning for coordinated industrial machines with TRUMPF. The path here was not linear. Chemistry, then computational structural modeling, then automotive software engineering, then production deep learning, now neuromorphic hardware. What connects them is physics-constrained computation: building models that have to respect what the material or the silicon underneath them can actually do. I also tutor the neuromorphic systems class and supervise student projects. Happy to talk about compute-in-memory, spiking networks, agentic systems, and inference at the edge.

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GUEST

Osama Elzero

1 linked episodes

Osama Elzero, also known as Osama Mohamed, is an Egyptian programmer, technical educator, and content creator best known as the founder of **Elzero Web School**. He is widely regarded as one of the most influential Arabic-language programming educators, recognized for making complex technical concepts clear, practical, and approachable for learners at different skill levels. [elzero](https://elzero.org/author/elzero/) He developed an early interest in web technologies and went on to build experience in web design, development, and server administration before launching Elzero Web School in April 2014. Through his YouTube channel and online academy, he provides structured Arabic learning resources for web development and programming, combining detailed explanations with study paths, coding assignments, challenges, and practical exercises. [youtube](https://www.youtube.com/watch?v=6YkjQGQ0ExI) ## Main areas of content Osama’s educational content commonly covers: - Programming fundamentals and problem-solving - HTML, CSS, and front-end web design - JavaScript and modern front-end development - PHP and back-end web development - Structured web-development learning paths - Coding exercises, projects, and technical career guidance His platform is designed to help learners move beyond watching tutorials by practicing, testing their understanding, and applying concepts in real code. [elzero](https://elzero.org/) Beyond teaching, he describes himself as a programmer, programming instructor, and technical blogger with an interest in technology, gaming, and problem-solving. Elzero Web School has become a major resource for Arabic-speaking learners seeking a practical, self-paced path into programming and web development. [elzero](https://elzero.org/author/elzero/)

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GUEST

Samer Salhi

1 linked episodes

Samer Salhi is an experienced technology professional with over 20 years in the field, currently serving as a Senior Program Manager at Nokia in Washington, U.S. He specializes in managing complex, cross-functional projects in cloud, IoT, and AI technologies. Samer is pursuing a Doctorate in Business Administration with a focus on Business Intelligence, enhancing his strategic and analytical skills to improve program performance and profitability. His career is marked by multiple certifications, publications, and awards, showcasing his expertise and leadership in the technology sector. He also values networking and sharing insights on technological trends and innovations.

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GUEST

Tamer Zaki

10 linked episodes

PUBLIC & PRIVATE SECTOR CLIENTS | OPTIMIZING BUSINESS PERFORMANCE THROUGH TECHNOLOGY | MAXIMIZING PROFITABILITY & CLIENT SATISFACTION | HARNESSING HUMAN CAPITAL RESOURCES Starting as an engineer and progressing over the next 16 years into more complex roles in technical leadership, project management, and portfolio management, I developed broad-based skills in presales, bidding, financial management, client relations, high-quality project execution, and developing technical teams that continually exceed client expectations. With expertise in both private and public sector work I have managed the delivery of multimillion-dollar portfolio of projects. While maintaining full P&L responsibilities, I generated high profit margins, and exceptional client satisfaction resulting in repeat business from on budget, on schedule, technically innovative business solutions, that increased productivity and slashed operating cost. The ultimate success of any business, rest with the teams executing the work. I think one of my strongest attributes and key to my personal and overall company successes have been my abilities to select, train, and motivate my teams. Starting with a rigorous selection process, I ensure success by providing an environment that encourages creativity, while maintaining accountabilities. In crisis situations, I tend to maintain a cool head and plot a clear course of action that quickly addresses key issues. Whether with project leadership, the team, or the client, I put an effective risk mitigation strategy in play, ensuring the work gets back on track, minimizing disruptions and patching up frayed relationships. I am comfortable managing, large project teams, where in my current role, I direct a staff of 90+ resources through a team of project managers on multiple projects. My experiences encompass interfacing with senior leadership in key business units including sales, finance, analysis, operations, and human resources.

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GUEST

Tarek Amr

1 linked episodes

I started my career into computer networks and information security. I worked in that field for 9 year, and I was leading a team of 5 at some point. But then in 2012, I felt the need to change my career. I was fascinated by machine learning already, and thus, decided to do my MSc in Machine Learning. After finishing my studies in 2013, I started my new career as a data scientist. I worked on different problems from natural language processing, to price estimation and recommendation engine. I have also published books on data visualization using D3.js and machine learning using Scikit-Learn and Python. I do see my skillsets as a t-shaped one. Although, my main interest is machine learning, I do build side projects using back-end and front-end web frameworks. I like to read about product management, behavioral economics and blockchain. I believe it is important to keep my eyes open to new things, in the end, you may need these intersections with multiple fields one day in your job.

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GUEST

Tarek Dawoud

10 linked episodes

Tarek Dowoud Principal PM Manager at Microsoft, Identity Expert, Customer Success Champion, Architect and Technical Leader. Experienced Program Manager in field of Identity and Security, Modern Authentication and Modernizing and moving enterprises to the cloud. Strong Dev/Test background and high empathy for customers and a strong collaborator.

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GUEST

Waleed Ammar

2 linked episodes

Waleed Ammar is the co-founder of a mission-driven AI startup and a product manager at the Allen Institute for Artificial intelligence (AI2). Before rejoining AI2 this year, Waleed was a senior research scientist at Google, where he helped develop transformer-based models for generating DNA sequences based on PacBio long-reads which significantly reduced variant-calling errors [Nature Biotech'22]. He also helped develop task-oriented dialog systems which are more robust to disfluencies, code-switching and user revisions [arXiv'23]. Prior to joining Google, Waleed led the Semantic Scholar research team's efforts to develop ML-based methods to facilitate access to the literature [e.g., NAACL 19], build a knowledge graph of the scientific literature [NAACL'18], and use this wealth of information to identify systemic social problems in science [JAMA'19]. He also occasionally teaches courses at UW linguistics as an affiliate faculty member. In 2016, Waleed received a Ph.D. degree in artificial intelligence from Carnegie Mellon University. Before pursuing the Ph.D., Waleed was a research engineer at Microsoft Research and a web developer at eSpace Technologies. Outside work, Waleed spends most of his time on the water or in dancing studios.

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GUEST

Yasser Makram

31 linked episodes

Accomplished 20+ year engineering and AI leader with a proven track record of scaling teams from 0 to 100+ engineers and driving business-critical digital transformations at scale. Expertise in translating complex business goals into scalable, resilient platforms, demonstrated by unlocking multi-million dollar revenue opportunities both at a startup like Cassbana or a big business like Amazon Ads. A "master builder" by nature, I maintain deep technical-Aptitude by actively architecting and deploying production AI systems. This ranges from pioneering state-of-the-art, production-ready Arabic NLP and TTS pipelines to hands-on, first-principles mastery of the modern LLM stack (e.g., LLM systems engineering, vLLM, TensorRT-LLM, distributed serving, multimodal architectures, and GPU-first principles). I thrive on bridging the gap between frontier research and robust, production-ready systems that deliver measurable financial and operational impact.

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