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Christopher Canin
Chris is a senior software engineer with seven years of experience in React Native and React development for clients including Clerk, Starz, and Blue Label. His primary expertise is in React Native, Expo SDK, and analytics integrations for enterprise mobile applications, where he thrives in remote, cross-functional teams. Chris grew the React Native SDK from a minor initiative into a flagship offering while at Clerk.
Show MoreAdrian Garcia
Adrian is a senior back-end engineer with 8+ years of experience building cloud-native platforms for AI, ad tech, healthcare, and fintech. He delivers end-to-end solutions—from microservices to full stack—using Python, Go, and TypeScript/Node.js. His expertise spans event-driven REST and gRPC systems and NLP and LLM back ends, including RAG, fine-tuning, and vector search. Adrian has deployed production stacks on AWS, GCP, and Azure, with a focus on reliability and observability.
Show MoreArman A Anwar
Arman is an AI systems expert with a proven track record of building enterprise-grade intelligent solutions that drive business outcomes. Organizations like DARPA and Samsung have trusted him to solve complex problems and deliver real-world impact. Arman is passionate about next-gen AI, especially systems that demand multi-modal reasoning, precise inference, and knowledge-based thinking.
Show MoreFaruk Pasalic
Faruk is a software developer with over 20 years of experience, specializing in Python back-end development. His expertise spans big data technologies like Hadoop and Spark, PostgreSQL, C, and C++. Faruk also has years of experience in machine learning and a hobby-level interest in firmware and hardware design, bridging software and hardware systems.
Show MoreLuca Cerone
Luca is a data scientist and ML engineer with 11 years of experience delivering end-to-end data products for companies like Bumble, letgo (OLX Group), Domestika, and King (Microsoft). He prioritizes good engineering practices to deploy reliable models across AWS, GCP, and on-premise environments. By combining his robust ML deployment background with active training in generative AI, including RAG and LLMs, Luca helps companies safely implement modern AI to solve concrete business needs.
Show MoreImane Momayiz
Imane is a machine learning engineer with 4 years of experience, specializing in RAG systems, LLM fine-tuning, and generative AI. She has built production retrieval pipelines and agentic systems for multiple industries, and has worked across the full ML application lifecycle. Imane is fluent in English, French, and Arabic.
Show MoreKamil Marut
Kamil is a full-stack software engineer specializing in developing high-performance and maintainable digital products. He has expertise in pragmatic system design and working with both cutting-edge and established technologies. Most of Kamil's expertise lies in the financial, real estate, and booking and rent industries.
Show MoreEqbal Quran
Eqbal is a CTO and hands-on AI engineer with 21 years of experience building scalable platforms and production AI systems. He works across LLM orchestration, RAG, AI workflows, prompt design, routing logic, guardrails, and external integrations. He has built AI back ends and recommendation systems using OpenAI, Anthropic, LangChain, Python, NestJS/TypeScript, vector databases, and cloud infrastructure, focused on reliable systems that deliver real business value.
Show MoreAhmet Yasin Aytar
Ahmet is an AI engineer with 5+ years of experience building production-grade LLM systems, agentic frameworks, and RAG pipelines for regulated industries. His work spans conversational banking agents, intelligent search systems, and local LLM infrastructure, all deployed at scale. He holds a master's degree in data science, is currently pursuing a PhD in AI, and has published peer-reviewed research on RAG architectures in Elsevier.
Show MoreVed Deo
Ved is a principal data scientist with over eight years of experience building generative AI and agentic AI systems across the pharmaceutical and telecom industries. His toolkit centers on Google ADK, LangGraph, and Kubernetes. While at Saama Technologies, he reduced API latency by 40% and tripled throughput for clinical trial data standardization platforms.
Show MoreAseem Gosain
Aseem is a gold medal graduate of the Indian Institute of Technology and a senior data scientist with 5+ years of experience in applied AI and machine learning. His work spans classical methods, deep learning, and generative AI, with a particular focus on recommender systems, NLP, RAG, and LLM-based applications. Aseem drives projects end-to-end, from problem scoping and design through modeling, deployment, A/B testing, and stakeholder alignment, and collaborates effectively with global teams.
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