Tapas Banerjee

Background

About Tapas Banerjee

Profile Principal Architect with ~19.5 years of IT industry experience and a proven track record in designing and delivering enterprise-scale, cloud-native and GenAI-driven solutions. Currently leading initiatives within an AWS sub-practice under Digital Engineering, focused on building GenAI accelerators across multiple SDLC phases and driving application modernization through GenAI-based reverse and forward engineering. Hands-on experience with AI-assisted development tools including GitHub Copilot, Amazon Q, and Amazon Kiro, along with designing and implementing MCP servers and integrations with remote systems such as JIRA and GitHub to enable intelligent automation.A highly skilled, 3x AWS Certified Solution Architect with deep expertise across.NET Core, C/C++, Python, Unix/Linux, SQL Server, Oracle, AWS cloud infrastructure, and Entity Framework Core. Extensive experience in delivering GenAI-powered modernization and technical upgrade solutions for global clients, as well as leading large-scale migrations from on-premises environments to AWS. Recognized for the ability to rapidly adopt emerging technologies and translate them into scalable, high-impact solutions aligned with business and architectural goals.Skill and Architecture: AWS Cloud Architecture, Microservices, RESTful APIs, System Integration, cloud migration and modernizationAWS Services: Various AWS services like IAM, EC2, Lambda, Bedrock, S3, RDS, SQS, SNS, CloudFormation, Secrets Manager, API Gateway, EventBridge, EKS, Kiro, Q, Well Architected Review tool. Balanced knowledge around both application and cloud infrastructure, played lead architect for enterprise level AWS migration from discovery to deploymentGenerative AI Expertise: Built several GenAI driven SDLC automation use cases using GitHub copilot, Amazon Q, Amazon Kiro (spec driven development), built custom multi-agent collaboration framework using CrewAI (Python based framework), built MCP server (streamable http, stdio), integrated application with remote MCP server (e.g. JIRA, GitHub etc.)Knowledge and vector Systems: OpenSearch Vector Database, GenAI Knowledge Bases, Retrieval-Augmented Generation (RAG)Programming Languages: C#, Python, C, C++.Leadership: Technology leader, thought leadership in AWS cloud, Technical Project management, mentoring, and stakeholder management.Web Technologies: RestAPI – dotnet Core.UI– HTML, CSS, JavascriptDatabases Oracle, SQL ServerBusiness Domains: Healthcare, Travel and transportation, Consumer Products