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Design and deploy AI solutions to optimize logistics workflows, using LLMs and GenAI tools to streamline project delivery and cross-functional coordination.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize full-stack web and mobile platforms alongside AI-driven features like recommendations and chat interfaces using React/Next.js, Node.js, and LLM tools.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and deploy AI-driven solutions like chatbots and ML models while collaborating with clients to translate business needs into practical generative AI applications.
Build and optimize end-to-end data pipelines on Azure and Databricks, integrating data for analytics and AI use cases using Python, Spark, and SQL.
Build and deploy enterprise-grade LLM applications using RAG, AI Agents, and vector databases like Milvus/Qdrant. Develop Python-based AI workflows and APIs for real-world production use.
Build and optimize LLM and RAG systems for SaaS platforms, integrating AI-driven features like automated due diligence and document analysis using Python, SQL, and Transformers.
Build backend services and APIs for supply-chain data products, integrating AI/ML (LLMs, diffusion models) into production systems while owning deployment, monitoring, and maintenance.
Lead enterprise AI adoption by designing governance frameworks, productivity KPIs, and automated acceptance platforms to evaluate and scale AI solutions across finance and operations.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Develop full-stack web apps with AI integrations for a public-sector client, using modern cloud and DevOps tooling.
Builds and maintains full-stack web apps while integrating AI/Generative AI models to enhance user experiences and functionality.
Build and maintain full-stack web apps for finance clients, integrating AI models and cloud infrastructure with CI/CD pipelines.
Build and deploy AI-powered banking apps using LLMs, RAG pipelines, and Python; automate workflows with n8n and Kubernetes.
Builds AI-powered web apps using React, Node.js, and Python, integrating models like TensorFlow/PyTorch and deploying on AWS/Azure.
Design and deploy AI/ML models (LLMs, GenAI, CV) and agentic systems for clients, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and owns scalable AI architectures for enterprise clients, blending Azure cloud solutions, Power Platform low-code tools, and agentic AI frameworks like LangGraph and RAG systems.
Builds AI-augmented developer tools using .NET, Python, and cloud services, integrating LLMs and vector databases to speed up software delivery and improve workflows.
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