Hire the Top Freelance Aws Sagemaker Developers in the World

Al Mahdi is a digital transformation expert at the forefront of the AI revolution who guides businesses through the transformative power of AI and offers clients a comprehensive and personalized support system that addresses their specific challenges. With expertise in developing systems that use Machine Learning, neural networks, and new technologies, he crafts highly performant software using a client-centered approach and feedback to fine-tune the quality of solutions delivered to clients. Boasting a diverse set of technical skills, ranging from Big Data and BI to business analysis and AI, allows Al Mahdi to navigate complex challenges, identify valuable insights, and develop actionable ROI-centric solutions.

Data Scientist & Al Consultant with over 10 years of experience developing Al and data solutions, combined with leadership in team development, client consulting, and strategic implementations. Skilled in translating complex Al technologies (LLMS, NLP, computer vision) into practical business solutions. Strong background in guiding client projects, leading multidisciplinary teams, and contributing to organizational Al growth. R. T. is skilled in translating complex Al technologies (LLMS, NLP, computer vision) into practical business solutions, and has a strong background in guiding client projects, leading multidisciplinary teams, and contributing to organizational Al growth.

Jatin is a seasoned AI/ML Engineer with 10+ years of industry expertise building innovative enterprise data solutions leveraging both cloud and on-prem technologies. He is a self-starter with great communication skills, a solid understanding of AI, Data Science, advanced statistics, Machine Learning, data mining, and visualization techniques. Jatin creates and maintains new data pipelines on projects using data at scale, implementing critical ETL pipelines, and advancing best practices in a fast-paced, collaborative, inclusive, and iterative delivery environment.

Rafael works with Java Spring Boot to build, test, and deploy software solutions to the cloud to meet client needs. He uses his experience in system architecture and SDLC to deliver distributed, scalable, enterprise-grade, low-latency solutions using modern technologies. Rafael also migrates applications to the cloud and configures web containers on solutions. In recent years, he has been specializing in Machine Learning, NLP, and Generative AI using LLMs. His expertise includes advanced techniques in RAG, multi-agent systems, Agentic workflows, agent construction, and model fine-tuning. Using LangChain, LangGraph, LangSmith, CrewAI, and LlamaIndex, Rafael is passionate about building intelligent systems that solve complex problems by combining state-of-the-art LLMs with multi-agent architectures.

Shreyank is a Senior Full-stack Python Engineer with 11+ years of experience designing and building scalable back-end systems, APIs, real-time data applications, and distributed services across AWS, Azure, and GCP environments. He designs, builds, and scales data systems that power critical business decisions and ML platforms, specializing in turning complex data challenges into secure, performant, and production-grade solutions. Passionate about creating reliable, observable, and cost-efficient data systems, Shreyank has architected real-time streaming data pipelines, batch ETL workflows, cloud-native lakehouses, and analytics platforms that handle billions of records.

Prashant is an AI/ML Engineer with 6+ years of experience developing AI-powered solutions using Large Language Models, Machine Learning, and conversational AI and building scalable systems that increase business metrics by up to 18%. He is an expert in open-source LLM fine-tuning, RAG implementation, and real-time AI deployment. Prashant successfully leads the development of interview platforms, resume parsers, and recommendation engines serving millions of users.

Spandana is a Senior AI/ML Engineer and Enterprise AI Architect with 10+ years of experience in data engineering, data science, and cloud-based solutions. She has designed and deployed AI-powered enterprise applications across sales, marketing, and customer success, with expertise spanning industries like aerospace, finance, healthcare, and retail. Specializing in integrating LLMs and Agentic AI solutions into platforms like Salesforce, Outreach, Gong, and N8N, Spandana enables automation, insight generation, and decision augmentation at scale. She also orchestrates multi-agent architectures using LangChain and develops RAG pipelines optimized for domain-specific tasks with ChatGPT, Claude, and proprietary models.

Aishwarya is a Senior AI/ML Engineer with a proven track record in designing, developing, and implementing AI algorithms and models. She creates evaluation frameworks for Agentic AI agents and integrates them with MLOps workflows to automate model training, evaluation, deployment, and monitoring without human intervention. Aishwarya designs ML models, develops and implements RAG pipelines and Agentic AI workflows using LLM fine-tuning and prompt engineering, and builds end-to-end MLOps workflows using tools like MLflow, Kubeflow, and AWS SageMaker pipelines. She is also skilled in developing AI/ML solutions, optimizing GenAI inference performance, and building Vector DB integrations within LangChain and LlamaIndex workflows for AI agents and knowledge bots.

Vaibhav is a Senior AI/ML Engineer leading the development of Agentic AI chatbots and autonomous workflow applications using LangChain, LLMs, Deep Learning, RAG, hybrid search, VectorDBs, prompt engineering, FastAPI, LangGraph, and Redis cache. He specializes in generative AI agents, skill analytics platforms, and AI-driven models and is currently collaborating with a Fortune 500 firm to build an automated multi-agent orchestration tool for insights generation for consumption by real estate. With 9+ years of experience spanning finance and technology, Vaibhav brings deep expertise in Agentic RAG systems, LLMs, back-end development, and R&D. His versatile skill set enables him to tackle complex business problems and deliver impactful software solutions.

Senior AI/ML Engineer with around 5 years of experience in end-to-end AI solution design, development, and deployment, including Generative AI, NLP, deep learning, and MLOps. Adept at owning technical architecture, building scalable ML platforms, and delivering cloud-based AI systems using AWS, Azure, and GCP.