• 🤖 Building AI-powered applications and intelligent agents using GPT models, LangChain, LangGraph, vector databases, and RAG
• 🗣️ Developing AI voice agents with ElevenLabs, Twilio, and GPT-5 for business-process automation
• ☁️ Building production systems across Azure and AWS, from APIs and containers to serverless workflows and data pipelines
• 📊 Previously built large-scale data platforms processing 80M+ customer records and 200+ TB of transactional data
• 🎓 M.S. in Computer Science, University of North Carolina at Charlotte
• 💡 Interested in AI Engineering, Agentic AI, Backend Systems, Data Engineering, and Cloud Architecture

Core: LLMs • GPT-5 • AI Agents • RAG • Knowledge Graphs • Embeddings • Vector Search • Prompt Engineering • Document Intelligence

Backend: REST APIs • WebSockets • Serverless APIs • Authentication • Auth0

Azure: Azure Data Factory • Azure Databricks • Event Hubs • Azure Container Apps • Azure AI • Azure CLI • Azure Data Warehouse

AWS: Lambda • API Gateway • S3 • Step Functions • Kinesis • Athena • EventBridge • AWS Glue

Data: PySpark • Delta Lake • Lakehouse Architecture • PostgreSQL • SQL Server • Data Warehousing • ETL/ELT

DevOps: CI/CD • GitHub Actions • GitLab CI/CD • Docker • Terraform • Azure CLI • Automated Testing

Building software and AI systems that digitize real-world business operations from requirements and architecture through production delivery.

• Developing an AI voice agent using ElevenLabs, Twilio, and GPT-5 to automate customer and operational workflows
• Building AI-assisted and cloud-native business applications across backend APIs, integrations, databases, and infrastructure
• Working directly with business stakeholders to translate complex operational processes into scalable digital workflows

• Built secure full-stack functionality using Vue.js, REST APIs, AWS Lambda, and API Gateway
• Developed serverless infrastructure using AWS Lambda and Terraform, reducing backend infrastructure costs by 25%

• Built Azure Data Factory and PySpark pipelines processing 80M+ customer records
• Developed data pipelines supporting fraud and risk systems, contributing to a 0.18% reduction in UPI transaction fraud
• Optimized data workflows to reduce loan-processing time by 10% and storage costs by 25%
• Built CI/CD pipelines that reduced production-delivery time by 25%
• Optimized analytical workloads processing 200+ TB of transactional data

Agentic AI platform for creating ATS-optimized resumes

LangChain LangGraph LLMs AI Agents

Built an agentic AI workflow that helps users create high-quality, ATS-friendly resumes through intelligent generation and iterative refinement.

AI-assisted drug intelligence platform for healthcare providers

GPT-4 AI Agents Document Processing Healthcare AI

Built AI-powered workflows for navigating complex drug information, insurance coverage, document processing, and clinical-information summarization.

Agentic AI assessment-generation platform

RAG Knowledge Graphs LLMs AI Agents

Built an AI system that processes Canvas course materials through a knowledge-graph-based RAG pipeline and generates educational assessments.