Keyur Patel

I am a Senior Software Engineer at T-Mobile USA, specializing in building Enterprise AI Agent systems. With over a decade of experience in software engineering, I now focus on Agentic AI — working with Google ADK, MCP (Model Context Protocol) & A2A (Agent-to-Agent) Protocols for agent orchestration and multi-agent workflows. I develop AI agents with Python, LangChain, and AWS Strands for complex enterprise automation. Previously, I worked as a Senior Consultant at Sogeti (Capgemini Group), where I led Blockchain development initiatives and delivered client projects for Allied Pilots Association. Earlier, I was a Software Consultant at Perfaware LLC, building monitoring solutions for enterprise retailers including The Home Depot. I hold a Post Graduate Degree in Generative AI from The University of Texas at Austin and a B.S. in Software Engineering from The University of Texas at Arlington.

Email: simkeyur(at)gmail.com  ·  Dallas Fort-Worth Area

Experience

Jun 2020 — Present

Sr Software Engineer (Agentic AI)

T-Mobile USA

  • Building Enterprise AI Agent systems using Google ADK for agent orchestration and multi-agent workflows.
  • Implementing MCP (Model Context Protocol) and A2A (Agent-to-Agent) Protocols for seamless agent communication.
  • Developing AI agents with Python, LangChain, and AWS Strands for complex enterprise automation.
  • Architected Transactional GenAI solutions for HR, reducing ticket resolution time by 50%.
  • Directed integration of 15+ HR systems serving 50K+ users with intelligent agent-based workflows.
May 2017 — Jun 2020

Senior Consultant

Sogeti USA (Capgemini Group)

  • Led Blockchain development initiatives within the Sogeti Dallas practice, translating complex business and functional requirements into robust software applications.
  • Client: Allied Pilots Association
    • Led a project to automate manual member requests, reducing processing time by 60% and creating a verifiable audit trail for compliance.
    • Developed a log monitoring solution using Power BI and ASP.NET to track user activity and errors across critical web and mobile applications.
    • Architected and developed a hybrid application to enhance the pilot notification system for flight delays, gate changes, and crew updates.
May 2015 — Apr 2017

Software Consultant

Perfaware LLC

  • Developed UI components for Perfaware's Real-Time Analytics Visibility and Enterprise Monitoring (RAVE) platform, an omni-channel order pipeline monitoring solution for major retailers.
  • Designed and developed proof-of-concept (POC) applications for clients, including an order shipment simulator microservice and a Helpdesk Chatbot using IBM Watson.
  • Client: The Home Depot
    • Led the design of an inventory availability solution, collaborating with the IBM Engineering team on the first pilot of a Cassandra-based lookup system for e-commerce.
    • Developed a custom tool to compare over 1 million SKUs weekly, facilitating a smooth transition from a legacy inventory management system.
    • Built a custom dashboard providing return order visibility, significantly improving customer satisfaction with the return process.
Apr 2014 — Aug 2014

Software Developer Intern

Santander Consumer USA

  • Modified and wrote new unit tests for international projects using C#, .NET, and Microsoft MS Unit.
  • Participated in regular code reviews and performed configuration management duties, including code merging and branching with Tortoise SVN.

Recent Projects

Agent Vector

AI Agent platform for small enterprises that helps build intelligent agents for employees and enables vector search across company documents. Equipped with the latest protocols and enterprise-grade security for seamless agent deployment.

Key Capabilities:

  • MCP (Model Context Protocol) integration for tool orchestration
  • Computer Use capabilities for browser-based automation
  • Vector search across company documents and knowledge bases
  • Enterprise security with role-based access controls
AI Agents MCP Computer Use Vector Search Enterprise Security

CareerVector

Intelligent career development platform that aligns professional history with target roles using advanced AI. Features automated resume tailoring, strategic skill gap analysis, and personalized upskilling recommendations.

Key Features:

  • The Vault — Centralized vector-embedded career profile
  • Match Engine — RAG-powered ATS-optimized resume generation
  • Gap Engine — Strategic skill deficiency analysis
  • AI Learning Agent — Curated upskilling recommendations
React Gemini API LangChain Firebase RAG Pipeline

EventNexus

Comprehensive event intelligence platform that optimizes the entire event lifecycle. Utilizes advanced analytics to automate scheduling, forecast attendance, and deliver personalized attendee experiences.

AI Capabilities:

  • Intelligent scheduling & session recommendations
  • Predictive attendance & capacity forecasting
  • Automated attendee segmentation
  • Real-time analytics with anomaly detection
AI/ML Event Management Analytics REST APIs

Education

July 2024 — Jan 2026

Post Graduate Degree in Generative AI

The University of Texas at Austin

Jan 2011 — May 2015

Bachelor of Science in Software Engineering

The University of Texas at Arlington

Technical Skills

🤖 Agentic AI

  • Google ADK
  • MCP (Model Context Protocol)
  • A2A Protocol
  • LangChain & LangGraph
  • AWS Strands

🧠 Generative AI

  • Large Language Models
  • Agent Orchestration
  • RAG Pipelines

💻 Languages

  • Python
  • TypeScript / JavaScript
  • Java
  • C# / .NET

⚙️ Backend

  • Microservices
  • API Development
  • ASP.NET
  • Node.js

☁️ Cloud & DevOps

  • AWS · Azure · GCP
  • Docker & Kubernetes
  • CI/CD
  • Git / SVN · Agile

🗄️ Data & Web

  • Cassandra · MySQL · PostgreSQL
  • MongoDB
  • Blockchain & Smart Contracts
  • Angular / Next.js / Tailwind

Awards & Interests

Awards & Certifications

  • 🏅 AiSera AI Workflows (Intermediate) — 2024
  • 🏅 Microsoft Power BI DAT207X — 2019
  • 🏅 Certified Blockchain Expert™ — 2019
  • 🏆 1st Place — 2018 Sogeti Devops Hackathon
  • 🏆 1st Place — 2013 Nationwide AT&T Coding Challenge

Interests

My primary passion lies in the bleeding edge of Artificial Intelligence. I spend the majority of my free time experimenting with new Large Language Models (LLMs), building autonomous agent workflows, and exploring the potential of Agentic AI to automate complex tasks. Beyond code, I am a lifelong vegetarian and enjoy sustainable gardening, planting and harvesting my own food. I'm also an aspiring chef who loves experimenting in the kitchen, and an avid follower of various sports.