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Lead a backend and data engineering team to build a zero-hallucination AI platform using Python, Apache Beam, FastAPI, and Temporal on Google Cloud Spanner and graph databases.
Build and optimize data pipelines and infrastructure for Owkin K, an AI co-pilot that uses agentic AI to accelerate biomedical research and drug discovery.
Build and scale a next-gen generative-AI platform using Python, FastAPI, RAG, and LLM integrations (GPT, Mistral, Claude) with cloud-native tooling.
Builds and maintains full-stack web apps (React, TypeScript, NestJS) for search platforms and admin consoles, focusing on UX/UI and integrating with Elasticsearch/OpenSearch.
Build high-performance backends in Python/FastAPI and integrate Anthropic LLMs with RAG pipelines for a company focused on AI-powered developer tools.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
Build and optimize NLP pipelines and LLM-based workflows for data ingestion and agentic AI systems using Python, RAG, and knowledge graphs.
Builds Python backend services and AI-driven workflows for JPMorganChase’s production systems, using microservices, Kubernetes, and LLM tooling.
Lead a backend team building biometric access-control systems in C++, integrating AI tools to improve security and engineering productivity.
Lead a backend team building C++ access-control systems, integrate AI tools for efficiency, and mentor engineers while owning scalable API and database design.
Build and optimize backend services that ingest, index, and serve complex financial data for AI-powered workflows using PostgreSQL, ClickHouse, Kafka, and ElasticSearch.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Build and scale Python backend services for generative AI agents using LangChain/LangGraph, integrating LLMs and vector databases to power insurance and digital customer-service applications.
Build and refine AI-powered customer service agents using Python, prompt engineering, and RAG to handle first-line support for Brazil’s leading digital bank.
Build and maintain Python backend services for a banking client, integrating AI agents (LangChain/LangGraph) and cloud tools (Azure/AWS) to automate software development workflows.
Principal Software Engineer leading GenAI application development, designing scalable AI pipelines, RAG systems, and agent frameworks to deploy LLM-based solutions in a regulated fintech environment.
Build and ship AI features into existing C# .NET ERP products, integrating LLMs via prompt design, RAG, and evaluation pipelines while ensuring production-grade reliability and accuracy.
Design and build scalable data pipelines and AI architectures for a regulated financial advisory firm, enabling analytics and decision-making with modern cloud tools.
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Principal AI Data Engineer builds and deploys GenAI/AgenticAI systems on Azure and Databricks, focusing on RAG, AI agents, and scalable workflows.
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