Full-stack & AI Agentic Systems engineer. I architect scalable SaaS platforms and AI-driven data frameworks with Python, FastAPI, AWS and Anthropic models that generate measurable business impact.
My passion for solving complex business problems
Results-driven Software Engineer with hands-on expertise building scalable cloud architectures, full-stack web applications, enterprise SaaS solutions, and Agentic AI systems.
At Kidar, I architected core SaaS platforms (ERP and Time Management) that reduced operational friction, saved $18,000 USD annually, and accelerated project management workflows by 20%.
As Lead Software Engineer at Scala / DataCrédito Experian, I designed a core AI Data Ingestion Framework that reduced overall development and QA cycles by over 50%.
Deep expertise in Python (FastAPI), Java (Spring Boot), React, AWS Cloud infrastructure, and modern AI Development Lifecycles (AI-DLC).
Full-stack engineer capable of owning problems end-to-end: backend, frontend, cloud infrastructure, and AI system design.
Tools and technologies I master
Clean Architecture
Spec-Driven Development (SDD)
Test-Driven Development (TDD)
Behavior-Driven Development (BDD)
Domain-Driven Design (DDD)
My professional journey
Core AI Ingestion Framework: Spearheaded as Principal Software Engineer the architecture and development of an AI-driven Data Ingestion Framework for Scala (the foundational data backbone of Experian), decreasing Data Engineering development and QA lead time by over 50%.
Credit Interface Personalization Chatbot: Co-designed and engineered an interactive AI chatbot integrated into Experian / DataCrédito platforms to deliver personalized credit interfaces and user experiences.
Enterprise AI Integration: Designed scalable, secure AI pipeline interfaces ensuring robust security standards and compliance within large-scale financial data ingestion processes.
Core SaaS Architecture & Cost Optimization: Built from the ground up two core internal SaaS platforms (ERP & Time Manager) utilizing Python (FastAPI), MySQL, and AWS, saving $18,000 USD/year and cutting project management cycle times by 20%.
Enterprise Data Workflows: Streamlined company-wide data architecture and internal information pipelines, driving cross-functional synchronization and operational efficiency.
Legacy Refactoring & Quality: Refactored over 20,000 lines of legacy code to Clean Architecture within 3 weeks, reducing ongoing feature development time by 40%.
Serverless AI Proof of Concept: Designed and deployed a serverless PoC using AWS Lambda and Bedrock AgentCore, accelerating team technical exploration by 2 weeks.
Work that demonstrates my expertise
Enterprise system built with clean architecture, AWS integration, and agentic flows for process automation.
P2P clipboard for the terminal: two laptops join the same room, one sends a snippet and the other receives it. No Discord, USB, or server.
Academic background and professional certifications
