Tech Lead | Backend Software Engineer
📍 🇦🇷 Argentina | 🌐 LinkedIn | ✉️ renato.cargnelutti8@gmail.com
Software Engineer with 8+ years of experience building scalable, end-to-end solutions across diverse industries including fintech, gaming, telecommunications, and healthcare. Currently serving as Tech Lead at LoopStudio, where I lead backend development initiatives and mentor engineering teams.
My expertise spans from architecting backend systems to implementing data engineering pipelines, with a proven track record in team leadership and project management. I'm passionate about leveraging cutting-edge technologies to solve complex technical challenges and drive business growth.
- Team Leadership: Led processes and mentored other software engineers
- Project Management: Collaborated closely with PMs on task estimation, sprint planning, and delivery
- Full-Stack Expertise: Delivered complete solutions from database design to frontend implementation
- Industry Versatility: Successfully delivered projects across fintech, gaming, healthcare, telecommunications, and AgTech domains
Languages: Node.js (TypeScript), Python, Go
Databases: MongoDB, PostgreSQL, Redis
Cloud: AWS, Kubernetes, Terraform
Data: Airflow, DBT, Snowflake
Architecture: Microservices, RESTful APIs, System Design
Frameworks/Tools: React.js, React Native, Redux
AI Coding Tools: Claude Code, Cursor, VS Code (Agent Mode)
AI Development: LangChain, LangGraph
MCP Integration: MCP clients, Model Context Protocol implementations
Vector Databases: MongoDB Vector Search
Agent Frameworks: Multi-agent systems, RAG implementations
LLM Integration: OpenAI API, Anthropic Claude API
Containerization: Docker
CI/CD: GitHub Actions, Jenkins
Tools: Git Flow, GitHub, Bitbucket
Monitoring: Grafana
Testing: Jest, Mocha, Supertest, PyTest, JUnit
🚀 Currently: Tech Lead at LoopStudio - Building scalable backend solutions for fintech platforms
🔬 Exploring: System architecture, GenAI tools/frameworks, and team leadership methodologies
🎯 Interests: System architecture, AI technologies, performance optimization, and mentoring engineering teams
⚡ AI-Powered Development - Leveraging Claude Code and Cursor's agent mode for accelerated application development and code generation
🔌 MCP Integration - Developing Model Context Protocol clients for enhanced AI tool interoperability and workflow automation
🤖 AI Agent Development - Building intelligent agents using LangChain and LangGraph for automated workflows and decision-making
🧠 RAG Systems - Implementing Retrieval-Augmented Generation systems with vector databases for enhanced AI responses



