With over a decade of experience as a Technical Lead, I have established myself as a versatile and accomplished technical professional, Solution Architect, Full Stack Developer, and Microsoft Technology Practitioner.

My expertise encompasses Full Stack Development, Generative AI, Microsoft Technologies, and Cloud Technologies. I am proficient in Angular, .NET Core & MVC, C#, Javascript, Microservices, Cloud (AWS & Azure), LINQ, Entity Framework, WCF, SQL Server, Visual Studio, CSS, HTML, Team Foundation Server, VSTS, and GIT.

I have extensive experience with Generative AI and AI skills including Azure OpenAI, RAG architecture, Azure AI Search, and Azure AI Studio. I have worked with various models such as GPT-3.5 Turbo, GPT-4, LLaMA 2, and LLaMA 3, cohere and various vector databases.

One of my key strengths lies in my ability to effectively communicate and collaborate with clients. By closely engaging with them, I ensure a thorough understanding of their project requirements, allowing my team to deliver tailored and impactful solutions. My commitment to delivering high-quality results, combined with my passion for innovation in technology, has been instrumental in driving successful outcomes for both my team and our clients.

• Technical professional with 11+ years of experience in developing enterprise applications and project execution across various domains.
• Expertise in software design, analysis, development, testing, and implementation of web and client-server applications using Microsoft Technologies.
• Implementation of enterprise web solutions for multiple domains like Manufacturing, Finance, Healthcare, Insurance, Education, and Aerospace.
• Development of Generative AI applications using Azure Open AI, Azure Cognitive Search, and Azure Form Recognizer.
• Experience in developing large-scale Generative AI applications with prompt engineering.
• Proficiency in frameworks such as LangChain, Python Open AI SDK, and JavaScript Open AI SDK.
• Handling embeddings and various vector databases such as Cognitive Search, Chroma DB, and FAISS DB.
• Managing security, simulations, and hallucinations in Generative AI applications.
• Enterprise application development using .NET Core, ASP.NET MVC, ASP.NET, C#, Angular, Node.js, jQuery, and JavaScript.
• SPA application development using Angular.
• Cloud-based application development using Azure and Docker, including Azure API Management and Azure API Gateway.
• Working knowledge of Azure Cognitive Services and basic knowledge of AWS Cloud.
• Experience with third-party UI frameworks like PrimeNG, Bootstrap, Telerik, and Kendo UI.
• ORM experience with Entity Framework and data access using ADO.NET.
• MS SQL Server database expertise and LINQ experience.
• Asynchronous programming and message broker experience with RabbitMQ.
• Configuration and code setup on IIS.
• Integration experience with applications like LinkedIn and Yammer.
• Ownership of development tasks, providing expertise in Microsoft Technologies.
• Strong analytical and observational skills with a quick learning ability for new technologies.

Skill	Expertise
	OpenAI, Azure OpenAI, AI Search, Azure AI Studio, Generative AI
	C#
	Python
	.NET Core, .NET MVC
	Microservices
	Angular
	Cloud Technology (AWS & Azure)
	React
	ASP.NET
	Entity Framework, ADO.NET
	LINQ
	MS SQL Server
	JavaScript, jQuery
	CSS
	HTML
	WCF
	Web Services, Web API
	Docker

Tool	Icon
	Visual Studio
	VS Code
	Team Foundation Server, VSTS
	GIT
	Google Colab

• Azure Functions: Serverless compute service to run event-driven code without managing infrastructure.
• Azure Cognitive Services: A suite of APIs to add cognitive capabilities to applications.
• Azure Form Recognizer: Automated data extraction from documents.
• Azure AI Studio: Platform for building, training, and deploying AI models.
• Azure OpenAI Studio: Integration of OpenAI models within Azure services.
• Azure API Management: Service for managing APIs across all environments.
• Azure Cognitive Search: AI-powered cloud search service.
• Azure Container Instances: Run containers without managing servers.

• AWS Lambda: Serverless compute service to run code without provisioning or managing servers.
• Amazon S3: Scalable storage in the cloud.
• Amazon Rekognition: Image and video analysis.
• AWS API Gateway: Fully managed service for creating, publishing, and maintaining APIs.
• Amazon ECS: Container orchestration service.
• Amazon RDS: Managed relational database service.