

Technical Lead skilled in containerising applications and deploying in Kubernetes environments. Manages Azure services for scalable, secure, and reliable cloud solutions. Enhances application functionality by implementing comprehensive testing frameworks and AI-assisted development tools.
Facilitated regular interactions with US clients and onsite teams to ensure alignment.
Gathered and documented client requirements, clarifying new needs and bug reports through proactive calls.
Ensured adherence to customer service standards across all engagements to enhance client satisfaction.
Collaborated with delivery teams to ensure successful execution of development tasks.
Designed and developed high-quality software architecture and solutions.
Executed tasks within software development life cycle using effective Agile and Scrum methodologies.
Produced clean, efficient code while developing tools and applications.
Automated repetitive tasks through scripting and appropriate tools.
1 Programming Languages & Frameworks
C#
NET Framework
ASPNET
ASPNET Core
Object-Oriented Programming (OOPs)
Python (for Machine Learning and AI use cases)
2 Backend & API Development
Web API (RESTful API design and development)
API integration and service-to-service communication
Distributed Windows Applications
Socket Programming
3 Database & Data Technologies
SQL Server
Cosmos DB (NoSQL)
Vector Databases (for AI and embedding-based search)
4 Cloud Technologies (Microsoft Azure)
Azure Functions (Serverless computing)
Azure Event Hub (Event-driven architecture)
Azure Storage Queue (Asynchronous processing)
Azure Cosmos DB
Azure Key Vault (Secrets management)
Azure App Configuration
Azure Logic Apps
Workflow Editor
Azure Cognitive Services (Text-based AI)
5 DevOps, CI/CD & Version Control
Team Foundation Server (TFS)
Git / GitHub
GitHub Copilot
Azure DevOps
Azure Pipelines
CI/CD implementation and automation
Kubernetes (Application orchestration)
Docker (Containerization)
6 Testing & Quality Assurance
Manual Testing
Unit Testing
Automated Unit Testing
AI-assisted test case generation and validation
Integration and regression testing
7 Artificial Intelligence & Machine Learning
Large Language Models (LLMs)
OpenAI LLM integration
Retrieval-Augmented Generation (RAG)
Embedding Models
Text analytics using Cognitive Services
Machine Learning fundamentals
Deep Learning concepts