Resume & Contact

Overview

Leading the development of a comprehensive cloud-based platform for agricultural management using .NET 8, Angular 16, React Native, Next .JS, and Azure services. Implementing Azure Active Directory, ADB2C for user management, and designing low-level architecture using Clean Architecture principles.

Key Achievements

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  Implemented Azure AD and ADB2C integration for user management
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  Designed and implemented Clean Architecture principles
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  Set up Azure DevOps CI/CD pipelines
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  Implemented Infrastructure as Code with Terraform
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  Developed high-performance cloud solution with Azure App Services
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  Created frontend with Angular 16 and PrimeNG
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  Integrated weather and AI cognitive services

Overview

Led the development of a comprehensive microservices platform serving various business needs including machinery monitoring, skill development, social media, ed-Tech, and e-commerce. The platform serves 30K+ active users across multiple services.

Key Achievements

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  Implemented IdentityServer4 for SSO
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  Integrated Azure services (Service Bus, Event Bus, Functions)
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  Implemented gRPC and HTTP abstraction for microservices
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  Optimized performance with LINQ and ADO.NET
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  Integrated multiple third-party services
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  Implemented social login functionality
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  Integrated payment gateway systems

Overview

Developed a comprehensive back-office system for retail accounts to validate, process, execute and acknowledge trades created by account managers with their corresponding confirmations from brokers.

Key Achievements

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  Migrated from legacy system to microservices architecture
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  Implemented Entity Framework with Code-First approach
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  Integrated Okta OAuth 2.0 for authentication
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  Implemented Event Bus with RabbitMQ
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  Created SSIS packages for data migration
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  Integrated AWS S3 for storage
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  Developed automation scripts with Python

Overview

Built a smart medicine dispenser using Raspberry Pi, Arduino, IR Sensors, QR Scanner, and Azure IoT Hub. The system includes a cloud-based dashboard for real-time inventory monitoring and integrates payment gateways with RFID authentication.

Key Achievements

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  Integrated Raspberry Pi and Arduino systems
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  Implemented IR Sensors and QR Scanner functionality
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  Integrated Azure IoT Hub for device management
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  Developed real-time inventory monitoring system
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  Integrated payment gateway systems
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  Implemented RFID authentication system
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  Created cloud-based monitoring dashboard

Overview

Led the architecture for Edge computing, integrating PLC (Siemens, Allen Bradley), DCS, and cloud-based analytics. Designed SCADA-integrated industrial automation system for machine status tracking and predictive maintenance.

Key Achievements

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  Designed Edge computing architecture
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  Integrated PLC and DCS systems
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  Implemented SCADA system
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  Developed predictive maintenance system
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  Set up LoRaWAN wireless sensor network
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  Implemented real-time data logging
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  Created cloud-based analytics platform

Overview

Developed an AI-driven temperature and humidity control system using ESP32, DHT11 sensors, and MQTT protocol. Integrated Azure Cognitive Services for anomaly detection in crop growth.

Key Achievements

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  Integrated ESP32 and DHT11 sensors
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  Implemented MQTT protocol
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  Integrated Azure Cognitive Services
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  Developed anomaly detection system
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  Created automated climate control system
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  Implemented real-time monitoring system
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  Developed data analytics dashboard