
Results-driven software developer with expertise in .NET, SQL, CRM systems, and API development/integration for scalable solutions. Proficient in Python automation and dashboard development, enabling efficiency, insights, and streamlined workflows. Experienced in Git/GitHub version control and applying DevOps practices to optimize CI/CD pipelines. Strong in problem-solving and debugging, with excellent communication and teamwork skills to align technical solutions with business goals.
Team leadership
Project management
Problem-Solving & Debugging
API Development & Integration (REST, SOAP, JSON, XML)
NET Framework / NET Core
SQL (Queries, Stored Procedures)
Angular JS
Python (Automation, Data Analysis, Dashboarding with libraries like Pandas, Matplotlib, Plotly)
Git/GitHub (CI/CD pipelines)
AWS
Docker
Title - Smart Operations Dashboard with AI and Automation
Description - A Django-based enterprise dashboard that integrates SQL, Python, and CRM data to deliver real-time KPIs, automated data ingestion, and AI-driven insights. It features churn prediction, anomaly detection, and sentiment analysis, with persisted AI outputs for historical tracking. The system is production-ready with CI/CD pipelines (GitHub Actions + Docker), Celery + Redis scheduling, role-based access control, and observability tools including logging, tracing, and Prometheus metrics.
Title - Inventory Management System – Angular & .NET Core with SQL Server
Description - This project is a full-stack Inventory Management System built with Angular 17, ng-bootstrap, and Bootstrap 5 on the frontend, and ASP.NET Core 8 Web API with Entity Framework Core (SQL Server) on the backend. It implements CRUD operations for products and categories, supports JWT-based authentication, and exposes endpoints documented via Swagger/OpenAPI. The frontend provides a responsive UI for managing inventory, including product search, pagination, and category management. The solution is containerized with Docker and designed for deployment on AWS (API via ECS/Elastic Beanstalk and frontend via S3 + CloudFront).