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Expert in: Qwen, Softr, Social Media Design + 77 more
I help businesses build digital assets that don’t just look good—they convert, rank, and scale. I work at the intersection of web & app development, brand strategy, SEO, and performance marketing to turn ideas into revenue-generating systems. From product design to traffic acquisition and content strategy, everything I build is aligned around one goal: measurable growth. I don’t sell disconnected services. I design complete solutions—brands with clarity, platforms with purpose, and marketing that attracts, engages, and converts the right audience. If you need a designer, developer, or marketer, there are many options. If you need someone who understands how all of them work together to drive results, that’s where I come in.
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Expert in: JavaScript, TypeScript, HTML5 + 14 more
Hi, I’m Paul Abu, a software engineer with 6+ years of experience building, fixing, and managing web applications for clients around the world. I enjoy turning complex problems into reliable, scalable software, collaborating with product teams, designers, and engineers to ship value quickly. My focus areas include frontend and backend development, data analytics platforms, and payment integrations (Stripe/PayPal e.t.c). I’m passionate about quality, with experience in unit testing, CI/CD, and mentoring others.
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Expert in: Python, JavaScript, Docker + 20 more
Full Stack Software & AI Engineer solving problems using technology. I have worked across different stacks, including, frontend, backend, databases, and AI. By working at several startups, I have gained experience to build products end-to-end from the ground up and ship to real world users.
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Expert in: Python, GPT, AWS + 8 more
I am Andrea Bello, a Data Scientist and programmer with a Master in Data Science from the University of Padua. I enjoy building data-driven solutions, from data cleaning and modeling to web apps that put ML into the hands of users. I have strong experience with Python, Flask, JavaScript, cloud services, and modern ML tools, and I thrive in collaborative environments where clean code and robust data pipelines are valued. I am always eager to tackle challenging problems at the intersection of data, software, and user experience. I value practical impact, continuous learning, and sharing knowledge with teammates. I’m available for new opportunities and ready to contribute to innovative projects with a proactive, team-oriented approach.
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Expert in: Python, TensorFlow, PyTorch + 20 more
I am a Senior AI Engineer with 8+ years of experience owning large-scale data and AI infrastructure for foundation model pretraining, fine-tuning, and multimodal AI systems. I have deep expertise in Apache Spark, PySpark, Ray, and distributed data processing, and I have delivered LLM and multimodal data pipelines, training data curation, and vector databases/embedding systems. I bring a strong background in production ML, MLOps, and reliability engineering, with end-to-end ownership of secure, observable, high-throughput systems across AWS, Azure, and GCP. I excel at cross-functional leadership, mentoring, translating advanced AI research into scalable, mission-critical infrastructure aligned with product and business goals, with a focus on frontier LLM infrastructure, system optimization, and responsible AI engineering.
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Expert in: PyTorch, Python, Docker + 15 more
Hi, I’m Boris Rotari, an AI Engineer and Data Scientist based in Cluj-Napoca, Romania, with 6+ years of experience designing and deploying AI/ML solutions across natural language processing, computer vision, generative AI, reinforcement learning, and predictive analytics. I enjoy turning complex data challenges into practical, scalable AI systems and collaborating with cross-functional teams to ship impactful products. I build end-to-end ML systems and scalable deployment pipelines, from data labeling and model training to production services. I’ve designed real-time recommender systems, RAG-enabled information retrieval platforms, and voice-enabled assistants, and I thrive on translating research into robust, business-ready solutions while keeping the user experience friendly and accessible.
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Expert in: Python, Docker, API + 13 more
I'm ZhouSha (Joey), an AI engineer focused on building LLM agents and RAG apps with a strong background in ML, computer vision, and full-stack development. I enjoy turning complex problems into scalable AI-powered solutions using Python, FastAPI, TypeScript, React, and cloud technologies. I've shipped real-world AI systems in Agile environments, designed end-to-end pipelines with MLOps/LLMOps, deployed containerized apps on cloud platforms, and built front-end interfaces that enhance user experience. I'm passionate about learning, collaboration, and delivering production-ready AI software.
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Expert in: Game Design, Github, Unity + 7 more
I'm a developer who specializes in game development, VR/AR experiences, and AI integration from Madrid, Spain. I'm a Systems Engineer with a background in game development and real-time systems. My core skills are Unity and Unreal Engine development, AI integration (chatbots, voice assistants, intelligent NPCs), and high-performance C++/C# programming. What sets me apart is my ability to bridge creative game design with solid technical architecture—I can build immersive VR experiences, integrate AI into interactive projects, and optimize backend systems to handle complex real-time applications. I've worked across gaming, simulation, and enterprise software, so I understand both the creative and technical challenges of bringing digital experiences to life. Employment and project experience Systems Architect & VR Engineer Complutense University of Madrid February 2023 - November 2024 Built VR training simulations for Meta Quest using Unity and C#. Integrated AI systems (OpenAI, voice recognition) for interactive virtual experiences. Optimized performance for mobile VR hardware and implemented multiplayer networking features. Software Engineer (C++ Backend) Bertrandt Group March 2022 - September 2022 Developed high-performance backend systems in C++ for automotive engineering applications. Optimized data processing pipelines and built low-latency server modules. Implemented CI/CD workflows and improved system reliability.
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Expert in: PyTorch, Python, AWS + 15 more
I am an AI Engineer with 4+ years of experience building and deploying ML systems across finance and enterprise AI. I design and implement end-to-end AI solutions that deliver measurable business impact while operating in cloud-native environments.\n\nI specialize in generative AI, multi-agent workflows, RAG, and ML Ops, collaborating with cross-functional teams to reduce risk, improve investment decision workflows, and drive value in regulated environments. I thrive on solving complex problems with scalable architectures, and I enjoy turning research into production-grade systems using tools like Spark, Kafka, Docker, Kubernetes, and advanced LLM tooling.
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Expert in: Python, GitHub, JavaScript + 12 more
I'm Navya Anantha, an automation-focused AI Engineer with a Distinction MSc in Data Science. I design end-to-end automation, sales funnels, onboarding systems, and payment automations using n8n, APIs, and large language models to translate business strategy into production-ready systems.\n\nI'm specialized in multi-agent systems and lead generation pipelines, with a focus on reliability and scalability. I enjoy turning commercial goals into robust, scalable software, and I maintain enterprise-grade safety, testing, and documentation as part of the development lifecycle.
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Expert in: AWS, React JS, TypeScript + 15 more
I am an AI Full-Stack Engineer specializing in LangChain, LLM integration, and retrieval-augmented generation (RAG), with 10+ years of backend and full-stack experience. I have deployed GPT/LLM-powered FastAPI microservices, built secure AI infrastructure, and optimized retrieval pipelines for clinical and compliance-sensitive environments to improve trust and efficiency. I am passionate about advancing AI in healthcare and helping organizations meet regulatory requirements. I enjoy turning complex AI challenges into reliable products that clinicians can rely on, with a focus on ethical, auditable data handling and user-friendly interfaces.
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Expert in: GitHub, Python, PyTorch + 11 more
Hi, I’m Kranthi Kumar Karupati, an AI/ML and Generative AI Engineer with 5+ years of experience designing and deploying end-to-end machine learning and LLM-driven solutions. I specialize in building RAG pipelines, prompt engineering, and multi-agent systems using models like OpenAI GPT, LLaMA, and Azure OpenAI. I enjoy turning complex data into practical, scalable AI applications that help businesses. I thrive in cross-functional environments, bridging research and production, and I have hands-on experience deploying GenAI on AWS, Azure, and GCP with CI/CD, Docker, and Kubernetes. I’ve integrated AI into enterprise chat and IVR systems, built scalable backend services, and continually monitor model performance and governance to ensure reliable, secure solutions.
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Expert in: Docker, Kubernetes, AWS + 8 more
With 11+ years of experience building and operating enterprise-scale AWS and Kubernetes platforms, I specialize in EKS, Terraform, CI/CD automation, and GenAI deployments on Kubernetes. I have delivered outcomes like 80% faster releases, 65% cloud cost reductions, and 99.9% platform availability across mission-critical environments. I’ve led production GenAI infrastructure and platforms (LLaMA 3), automated provisioning of 100+ cloud resources, and mentored DevOps engineers, driving platform decisions across cloud, CI/CD, and AI infrastructure while improving incident response and reliability through centralized observability.
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