SDE // CLOUD & DISTRIBUTED SYSTEMS

AWS Certified Solutions Architect Model Context Protocol (MCP)

Architecting Resilient Cloud Systems & GenAI Gateways

$ init-stack --runtime=Python3.11 --core=Java17 --cloud=AWS --mesh=MCP

Performance-driven Software Development Engineer with over 2+ years of experience architecting, developing, and operating production-ready distributed applications, zero-downtime CI/CD automation, and enterprise GenAI / MCP gateways on AWS.

Launch Architecture Lab View 16+ Repositories

Years Prod Exp

Service Uptime

Triage Time Cut

GitHub Repos

telemetry.ap-south-1.aws

HEALTHY

3D CLOUD TOPOLOGY INSPECTOR

Distributed Mesh

Hover or rotate the background 3D nodes to inspect cluster topology and live services.

ECS / Fargate Compute

40% Faster Deploys

AI Governance Gateway

100% Budget Guard

MCP AI Data Bridge

-75% Manual Analysis

Resilient Aurora / RDS

Zero Staging Downtime

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SYSTEM ARCHITECTURE LAB

Interactive Cloud & MCP Pipeline Simulator

Experience Medudhula Rohith Kumar's real-world distributed architectures. Test live scenarios including GenAI rate-limiting, natural language database queries via Model Context Protocol (MCP), and automated incident RCA.

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Edge Security

Route 53 & AWS WAF

Shield Active

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AI Governance

Python / AWS Lambda

Quota Guard

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MCP Server

Model Context Protocol

Context Bridge

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ECS / Fargate

Container Microservices

Zero Downtime

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Aurora / RDS

Relational Autoscaling

99.95% HA

PORTFOLIO SHOWCASE

Featured GitHub Repositories & Systems

Explore 16+ open-source projects, enterprise cloud tools, and AI agent platforms designed with high performance, modularity, and distributed resilience.

CAREER TRAJECTORY

Professional Engineering Experience

Proven track record operating high-scale cloud platforms, containerized services, and automated developer productivity tooling across global enterprises.

Cloud & Software Engineer

Tata Consultancy Services (TCS)

June 2025 – Present Hyderabad, India

AWS CodePipeline Custom Dashboard: Designed, developed, and deployed an internal CI/CD management dashboard using Python (FastAPI, Boto3) and AWS CodePipeline APIs; parsed deployment metrics, stage states, and failure diagnostics to deliver real-time operational visibility for 50+ engineers, cutting pipeline triage inquiries by 65%.
AI Model Governance Gateway & Service Layer: Engineered a production-grade backend gateway using Python and AWS Lambda to manage foundation model integrations; enforced programmatic rate limiting, API token quotas, and payload auditing, eliminating unauthorized cloud model invocations and preventing budget overruns by 100%.
MCP & Generative AI Workflow Augmentation: Integrated Model Context Protocol (MCP) servers and LLM endpoints to query structured AWS data stores via natural language interfaces, reducing manual data analysis workflows by 75% while adhering to responsible AI evaluation standards.
Full-Lifecycle Containerized Microservices: Containerized backend services via Docker and AWS ECS/Fargate behind Application Load Balancers and Nginx; established CI/CD pipelines via GitHub Actions and AWS CodePipeline to automate testing and zero-downtime rollouts, accelerating release velocity by 40%.
Operational Support & Reliability: Monitored distributed telemetry with Prometheus, Grafana, and AWS CloudWatch alarms; performed root-cause analysis (RCA) on production anomalies, driving a 35% reduction in Mean Time to Detect (MTTD) and upholding 99.95% service uptime.

Python (FastAPI) AWS Lambda ECS / Fargate MCP Docker GitHub Actions Prometheus & Grafana Boto3

Software Engineer

Accenture

October 2024 – May 2025 Hyderabad, India

Legacy Modernization & Microservices: Refactored and modernized monolithic JSP applications into clean, modular Java 17 Spring Boot microservices; designed RESTful APIs and executed comprehensive unit testing to verify software quality and backward compatibility.
Cloud Infrastructure & Resilient Storage: Configured AWS VPC networking topology (public/private subnets, NAT Gateways, Route 53) and managed Amazon RDS / Aurora relational databases with automated snapshot routines and autoscaling, preventing staging downtime.
Code Reviews & Build Automation: Participated in daily peer code reviews, established coding standards, and configured automated Maven build and Jenkins validation pipelines to streamline deployment workflows.

Java 17 Spring Boot AWS VPC RDS / Aurora Jenkins Maven RESTful APIs

Cloud Engineer (Proof of Concept)

Lumen Technologies

January 2024 – July 2024 Bengaluru, India

Self-Service Orchestration Platform: Designed a unified multi-cloud provisioning platform abstraction using Python; automated compute, storage, and networking deployments across AWS and Azure, reducing manual configuration errors by 70%.
Linux Infrastructure Automation: Developed automated deployment scripts for enterprise Linux systems (RHEL/Ubuntu) handling disk partitioning and network routing, slashing delivery turnaround from hours to under 10 minutes.

Python Multi-Cloud (AWS/Azure) Enterprise Linux RHEL / Ubuntu Bash

CORE COMPETENCIES

Technical Skills Matrix

Comprehensive skill distribution covering distributed systems engineering, cloud architecture, and modern artificial intelligence tooling.

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AWS & Cloud Services

AWS Lambda / Serverless95%

ECS / Fargate / Docker90%

RDS, Aurora, PostgreSQL88%

VPC, Route 53, ALB, WAF85%

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Programming & Backends

Python (FastAPI, Boto3)95%

Java 17 / Spring Boot88%

Bash & Shell Scripting85%

SQL & Schema Design85%

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AI & Model Context Protocol

Model Context Protocol (MCP)92%

LLM APIs & Agent Tooling90%

AI Governance & Rate Limiting94%

Autonomous Remediation Agents86%

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DevOps & Observability

GitHub Actions & CodePipeline92%

Terraform & IaC84%

Prometheus & Grafana88%

CloudWatch & Root Cause Analysis90%

VERIFIED CREDENTIALS

Certifications & Academic Foundation

Industry-recognized cloud architecture accreditations and formal computer science education.

AWS Certified Solutions Architect – Associate

ACTIVE

Amazon Web Services (AWS)

Validation Number

89a649dd0e5d4c4c84b1ae2bd81a3d54

Issue: Sep 5, 2026 • Exp: Sep 5, 2029

Verify on AWS

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft Corporation

Status: Completed | Cloud Foundations

B.Tech in Computer Science & IT

MLR Institute of Technology

Nov 2020 – Apr 2024 | CGPA: 8.38 / 10.0

OPEN FOR OPPORTUNITIES

Let's Build Scalable Systems

Currently open to Software Development Engineer (SDE), Cloud, and Distributed Systems roles. Reach out to discuss distributed architectures, MCP implementations, or collaboration.

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Email Address medudhularohithkumar@gmail.com

WhatsApp +91 7093339455

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Location Hyderabad, Telangana, India