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Md Nazim Uddin
Nazim is a contact center architect and solutions consultant with 20 years of experience delivering CCaaS, UCaaS, and AI voice solutions across ANZ and Asia Pacific. He specializes in Cisco Webex CC, Amazon Connect, Genesys, Avaya, Vapi, and Retell AI, and builds automation workflows using N8N, Python, and AWS serverless. Nazim holds Cisco Webex CC Expert, AWS CSA, and Amazon Connect certifications and has completed 75+ freelance projects globally.
Show MoreAlex Burlacu
Over the years, as an experienced machine learning engineer, Alex dealt with diverse problems, ranging from computer vision to natural language processing and time series forecasting. He has worked as a single engineer on the project several times, and despite scarce data and few computational resources, he succeeded where others failed. He has acted as a machine learning team lead for the past few years. In his spare time, Alex enjoys engaging in independent lecturing and ML research.
Show MoreRogelio Nicolas Mengual
Rogelio is a versatile, positive, and self-motivated full-stack engineer with over 18 years of experience in various programming languages, frameworks, and platforms. He enjoys taking on new challenges and constantly strives to learn new skills.
Show MoreJuzar Antri
Juzar is a senior AI engineer and full-stack developer with 4.5 years of experience in architecting, scaling, and deploying enterprise-grade distributed applications and GenAI systems. His expertise spans agentic AI, multi-agent systems, and serverless architectures, with notable work at Creole Studios. Juzar engineered multi-agent state-machine frameworks and built semantic discovery systems for multimillion-page corpuses.
Show MoreMuhammad Khubaib Raza
Khubaib is a Senior AI Engineer and Full-Stack Developer with 8+ years of experience building production-grade AI systems that deliver real business impact. He specializes in LLMs, agentic systems, RAG, and Voice AI, with hands-on experience in real-time conversational agents. Proficient in Python and TypeScript, he works with Next.js and FastAPI. Khubaib holds a Master’s in Data Science and has expertise in NLP, machine learning, and deep learning.
Show MoreJack Foxcroft
Jack has spent 10 years delivering and building scalable enterprise software, cloud-native platforms, and real-time 3D applications across engineering, nuclear, and technology industries. He has strong expertise across the stack, with a focus on front-end engineering using modern technologies, including TypeScript, TanStack, Svelte, Next.js, Node.js, Three.js, WebGL, WebGPU, and cloud platforms such as AWS, Azure, and GCP.
Show MoreŽygimantas Remeika
Žygimantas is a full-stack engineer with over five years of experience building and running web platforms end-to-end: front-end through API design, data modeling, infrastructure, and deployment. He works primarily in TypeScript and Python and moves between stacks as the problem requires. He took bronze at the ICPC NWERC semifinals and won the Lithuanian national championship with Vilnius University.
Show MoreSyed Raza Ahmed
Raza is a full-stack software engineer with over 7 years of experience in scalable web platforms and AI-enabled solutions. Their expertise spans front- and back-end development, cloud infrastructure, and real-time systems, with notable work at Cretive Bugs, Norgic AB, and Technology Wisdom. Raza introduced CI/CD pipelines that reduced deployment time by 60% and led the transition to Next.js, cutting server costs by 25%.
Show MoreJanos Horvath
Janos is an experienced research engineer and academic specializing in machine learning, computer vision, and video processing. His innovative work at Dolby Laboratories and Purdue University drives advancements in Dolby Vision and satellite image forensics. As a prolific author and patent holder, Janos brings a unique blend of technical expertise and visionary leadership, fostering collaborative breakthroughs in high-impact technology.
Show MoreHaider Ali
Haider Ali is the developer teams call when ideas need to move fast without breaking. He focuses on reducing risk, cutting wasted effort, and helping clients reach clarity faster. He turns uncertain concepts into dependable products, whether it’s an AI assistant, a marketplace, or a real-time mobile app.
Show MoreMuhammad Ibrahim
Muhammad is a senior machine learning engineer with 7+ years of experience in AI/ML, MLOps, and scalable system design. He focuses on NLP, ASR, computer vision, and distributed training of transformer models, including LLMs and GenAI. With a strong background in CI/CD, TDD/BDD, and Agile practices, he's proficient in Python, PyTorch, TensorFlow, Django, AWS, and Kubernetes. Muhammad leads AI solutions from research to production, optimizing performance and scalability.
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