Software engineer with 5+ years of experience building scalable SaaS platforms, ERP systems, AI-powered applications, and RAG (Retrieval-Augmented Generation) solutions. Experienced in backend engineering and end-to-end delivery—from requirements and architecture to deployment and production support.
Specialized in Python, Node.js, TypeScript, React, PostgreSQL, Docker, and cloud technologies, with hands-on integration of LLMs, payment gateways, WhatsApp Cloud API, and enterprise systems. Focused on automating business workflows and delivering measurable value while collaborating closely with clients and stakeholders.
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Designed a scalable notification system capable of sending messages across multiple channels such as WhatsApp, email, and SMS.
The system supports event-driven architecture, message queues, retry mechanisms, and delivery tracking to ensure reliability.
It was designed to handle asynchronous communication and prevent duplicate notifications, simulating real-world production scenarios.
Focused on system design, scalability, and fault tolerance.
Technologies: Python, REST APIs, Event-driven architecture, Queues (concept), Webhooks
Built and maintained a backend API for warehouse management system (WMS) integration with ERP.
The system retrieves and processes documents, products, and logistics data from SQL Server using stored procedures, and exposes structured REST endpoints for external systems.
Implemented authentication, data transformation, and business rules to ensure consistency between systems.
Focused on performance, reliability, and clean architecture to support real-world operations.
Technologies: Python, Flask, SQL Server, Stored Procedures, REST APIs, Authentication (JWT)
Developed a backend automation system that sends personalized WhatsApp messages using the Meta WhatsApp Cloud API.
The system reads client data from Excel files, processes file paths dynamically, and sends PDF reports automatically via WhatsApp.
It includes file handling, API integration, error handling, logging, and message delivery tracking. A webhook system was also implemented to monitor message status (sent, delivered, read, failed).
This project simulates a real-world integration between internal systems and external APIs, focusing on reliability and automation.
Technologies: Python, Flask, REST APIs, Excel processing, Webhooks, Meta Cloud API
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