- AI-Powered LegalTech Solutions: Developing and leading the creation of advanced AI systems, including autonomous-agent SaaS platforms, to revolutionize legal document processing and analysis. This involves leveraging multi-agent systems (pre-GPT-4) and modern AI techniques to automate tasks, reduce manual effort by up to 80%, and significantly decrease resolution times.
- High-Performance Data Intensive Applications: Engineering and re-engineering scalable data-ingestion ETL pipelines and enterprise data lakes. Recently migrated a key pipeline from Python to Go, achieving a 5x increase in throughput and a 78% reduction in processing runtime. [cite: 7, 8, 15] Focused on optimizing code architecture, implementing lighter containers, and enhancing parallelism to decrease compute spend by ~35%.
- Building My Own Company: Establishing a tech startup focused on delivering innovative solutions in AI and data processing. The goal is to disrupt the industry with cutting-edge technology and provide valuable services to clients worldwide and businesses.
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Managing Kubernetes (AK8s) Clusters: Utilizing and managing Kubernetes clusters for seamless deployment, scaling, and maintenance of containerized applications, including experience with Azure AKS. This involves automating workflows and optimizing resource utilization.
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Exploring Rust: Deepening knowledge in the Rust programming language to enhance system-level programming skills, focusing on its safety and performance benefits for high-performance applications.
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Advanced AI Development: Working with LangChain and contributing to Microsoft AutoGen (focusing on tool-plugin architecture and evaluation harnesses) to develop sophisticated AI models and applications. This includes integrating natural language processing and automated generation capabilities.
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DevOps Practices: Expanding expertise in DevOps practices (including Docker, GitHub Actions, Terraform) to streamline development workflows, automate CI/CD pipelines, implement infrastructure as code, and improve collaboration.
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Project Management Professional (PMP) Certification: Currently preparing for the PMI PMP certification to further enhance project management capabilities.
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Description: An AI-powered SaaS platform that automates legal document analysis and generation using a multi-agent architecture. Designed to reduce paralegal drafting time significantly (by 60% in its initial application).
Technologies Used: React, NestJS, Go, Azure OpenAI, Microsoft AutoGen, Kubernetes.
Description: Built a scalable ETL pipeline from scratch with high-throughput message processing to unify disparate data sources into a single queryable platform. Achieved a 5x performance improvement over the previous solution. As Technical Lead, re-engineered the data-ingestion pipeline (Python to Go) for E23 Retail, resulting in a 5x throughput increase and 78% runtime reduction. Technologies Used: Go, NATS, PostgreSQL, Kubernetes, Python, Docker, AWS.
- Email: alessiopersichettidev@gmail.com
- LinkedIn: Alessio Persichetti
- Twitter: @persicoDev
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- Short-Term: Successfully obtain PMP certification, and continue to deepen expertise in Rust and advanced AI development, particularly with multi-agent systems.
- Long-Term: Successfully launch my own tech company focused on innovative AI and data solutions, and continue contributing to impactful open-source projects like Microsoft AutoGen.
- Understanding Kubernetes Clusters: From Basics to Advanced Management
- Exploring AI Multi-Agent Systems with Microsoft AutoGen & LangGraph
- Architecting Scalable Data-Intensive Applications: Lessons Learned