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Build enterprise web apps using AI coding agents (Claude Code, GitHub Copilot) alongside React/Angular front ends and Java/.NET back ends, deploying on GCP with DevOps practices.
Build and scale web apps using .NET Core, C#, and Angular/React, with a focus on REST APIs, AI-driven RAG pipelines, and modern cloud practices.
Build and maintain petabyte-scale ML infrastructure for robotics autonomy, including data pipelines, search, annotation integrations, and vector databases to power large-scale delivery fleets.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Builds backend services for a global e-commerce platform using Java/Kotlin and Spring, integrating AI agents and modern data stores to streamline product search and pricing.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Designs and maintains data pipelines and vector databases to feed AI systems with clean, real-time data for RAG and agent memory.
Builds and integrates Python-based AI services using LLMs, RAG pipelines, and vector databases for enterprise clients.
Builds and integrates Python-based AI services using LLM frameworks (LangChain, LangGraph), RAG pipelines, and vector databases for enterprise clients.
Builds Python-based GenAI services using LLMs, LangChain/LangGraph, and vector databases for clients, integrating APIs and deploying with Docker.
Freelance Python developer building GenAI applications using embeddings, prompt engineering, and vector databases for Italian clients.
Senior Full-Stack Developer building large-scale web apps with Vue.js, TypeScript, Python (FastAPI), Node.js, and Postgres, while integrating AI/ML features like LLMs and RAG.
Senior Software Engineer maintaining a Neo4j-based knowledge graph for drug discovery and gene biology data, integrating heterogeneous biomedical sources and ensuring data quality for AI use cases.
Build and maintain a biomedical knowledge graph in Neo4j, integrating drug-discovery and gene-biology data sources with Python pipelines to ensure data quality and traceability.
Build and validate agentic AI features for a patent-intelligence platform using NLP, LLMs, and retrieval strategies to power natural-language patent analysis workflows.
Lead a team to design, build, and deploy ML/AI systems for ecommerce search, recommendations, and personalization, shipping models that directly move business metrics.
Build and deploy NLP and GenAI models to analyze customer contact journeys using SQL, Python, PySpark, and Azure.
Build and ship AI features on the Salesforce platform using Agentforce, Einstein, and Data Cloud, integrating LLMs with enterprise data and deploying autonomous agents in production.
Build and deploy enterprise-grade GenAI applications using RAG pipelines, document parsing, vector databases, and LLM orchestration in Python.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
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