Kotha Manasa

Resourceful AWS Cloud Engineer known for high productivity and efficient task completion. Specialize in cloud infrastructure management, automation with AWS CloudFormation, and security best practices. Excel in problem-solving, teamwork, and adaptability to meet project deadlines and achieve goals.

• AWS Associate Certified Data Engineer (DEA-C01)
• AWS Associate Certified Solutions Architect (SAA-C03)
• AWS Data Analytics (AWS Cloud Quest Badge)
• AWS Networking (AWS Cloud Quest Badge)
• AWS Solution Architect (AWS Cloud Quest Badge)
• AWS Security (AWS Cloud Quest Badge)
• Certified in Python (Coding Ninjas)
• Certified in C (Coursera)
• Generative AI for Beginners - Udemy

1)Amazon Connect Intelligent IVR & AI Assistant – Proof of Concept (POC)

Description: Designed and developed an AI-powered IVR Proof of Concept using Amazon Connect to automate customer interactions. Integrated Amazon Q (Generative AI) for intelligent query handling and self-service responses. Implemented backend processing using AWS Lambda and Server(Pega) with a serverless, scalable architecture. Configured call flows, logging, monitoring, and fallback routing to agents to ensure reliability and improved customer experience.

(i)Designed an end-to-end Amazon Connect contact flow for an intelligent IVR system. 

(ii)Implemented voice-based caller interaction using Amazon Connect with speech recognition. (iii)Integrated Amazon Q (Generative AI) to provide AI-driven responses to customer queries. 

(iv)Built backend logic using AWS Lambda to process user input and fetch responses.

 (v)Used a Pega Server to store and retrieve customer and session data. 

(vi)Enabled text-to-speech and speech-to-text for natural caller interaction.

 (vii)Configured logging, monitoring, and analytics for call flow tracking and performance analysis. (viii)Designed the solution using serverless architecture, ensuring scalability and cost efficiency. (ix)Handled error scenarios and fallback flows to route calls to agents when AI confidence is low. (x)Ensured secure access using IAM roles and policies.

(i)Amazon Connect

(ii)Amazon Q (Generative AI)

(iii)AWS Lambda

(iv)Pega Server

(v)Amazon CloudWatch

(vi)AWS IAM

(vii)Amazon S3 

(viii)Amazon Lex

2) Image Resizer using AWS Lambda

Descrption:Built a serverless image processing pipeline that automatically resizes images uploaded to an S3 bucket. When a user uploads an image to the "originals" bucket, a Lambda function is triggered to resize it (e.g., thumbnail size) and store it in another S3 bucket or a subfolder. Responsibility: Set up two S3 buckets (or folders) for original and resized images. Configured S3 Event Notifications to trigger Lambda on new image uploads. Developed a Lambda function (Python/Node.js) Implemented proper IAM roles to allow Lambda to access S3. Verified functionality and logs using CloudWatch. Tested various image formats and sizes to ensure reliability.

(i)Built a serverless image resizing pipeline using Amazon S3 and AWS Lambda. 

(ii)Configured S3 event triggers to invoke Lambda on image uploads.

(iii)Developed Lambda functions to resize images using Pillow/Sharp. 

(iv)Implemented IAM roles for secure S3 access. 

(v)Monitored and tested the solution using CloudWatch logs.

(i) Amazon S3

(ii)AWS Lambda

(iii)Amazon S3

(iv)Event Notification

(v)IAM

(vi)Amazon Cloud Watch

• Collaborative
• Teamwork
• Time Management
• Quick Learner
• Effective Communication
• Decision making
• Ability to work under pressure
• Problem Solving Skills
• Adaptability
• Project management