FIRST LAST
City,ST
Summary
Dynamic AI and machine learning leader with a proven track record at AT&T, driving transformative initiatives that delivered over $350M in business impact. Expert in cloud-native architectures and team leadership, I excel in operationalizing AI solutions and enhancing productivity through innovative data platforms and generative AI applications.
Overview
19
19
years of professional experience
Work History
AI-Powered Incident Management Platform (Kepler)
AT&T
2024.01 - Current
- Led development of an AI-powered end-to-end incident management platform supporting automated detection, resolution, and dispatch across wireline and mobility networks.
- Platform processes 80M+ real-time network events daily
- Delivered $120M annual operational savings
- Integrated AI/ML, streaming data platforms, and rule-based automation
- Architected cloud-native microservices platform with Kubernetes across hybrid cloud (AWS/Azure)
- Established CI/CD, DevOps pipelines, and scalable deployment across multi–data-center environments
- Technologies: Kafka, Spark, MongoDB, Redis, Kubernetes, Docker, ML/AI
Principal Member of Technical Staff
AT&T
Middletown, NJ
2014.01 - Current
- Technical and product leader responsible for AI-driven operational platforms, large-scale data systems, and enterprise transformation initiatives supporting AT&T’s network operations and customer care organizations.
Generative AI Transformation for Network Operations
AT&T
2023.01 - 2025.01
- Led product strategy and implementation of Generative AI use cases improving network operations productivity.
- Key initiatives:
- Implemented LLM-powered knowledge retrieval and troubleshooting assistants
- Built natural language interfaces enabling engineers to query complex operational data
- Automated incident summarization, root-cause exploration, and resolution recommendations
- Integrated AI capabilities into service assurance and customer care workflows
Network Topology Knowledge Discovery (AI / ML)
AT&T
2021.01 - 2024.01
- Directed AI research and engineering initiative reconstructing AT&T’s multi-layer network topology from heterogeneous inventory systems.
- Applied BERT and LLM-based techniques to integrate multiple data sources
- Enabled visualization and operational insights across large network infrastructures
- Integrated results into ServiceNow incident management systems
ML-Based Capacity Planning and Dispatch Optimization
AT&T
2017.01 - 2024.01
- Led creation of AI-driven capacity planning and workforce optimization platform supporting AT&T field operations.
- Key achievements:
- Built and led 20-person engineering and data science team
- Platform supports 10K+ field technicians and 30K+ jobs daily
- Delivered $1M daily operational savings
- Developed ML forecasting models and optimization algorithms for workforce planning
- Technologies: Python, Spark, Kafka, Cassandra, ML frameworks, optimization algorithms
Enterprise AI / ML Solution Delivery
AT&T
2016.01 - 2023.01
- Directed multiple enterprise AI initiatives delivering $350M+ business impact, including:
- Dispatch optimization and workforce planning models
- Fraud detection and authentication risk analytics
- Retail demand forecasting systems
- Voice-enabled enterprise virtual assistants
- Knowledge search and question-answering systems using NLP
Enterprise Platform Transformation
AT&T
2015.01 - 2018.01
- Led architectural modernization of AT&T’s trouble management and service assurance platforms.
- Designed microservice-based open-source ticketing platform
- Introduced CI/CD and DevOps practices, increasing development productivity by 20%
- Delivered systems supporting Mobility, Wireline, and Enterprise network operations
Architect
AT&T
2007.01 - 2014.01
- Architect and technical program lead responsible for service assurance systems supporting AT&T network infrastructure.
- Key initiatives:
- Led system delivery for LTE network rollout and scale-up
- Delivered operational platforms supporting VoLTE, LTE backhaul, and data networks
- Led analytics initiatives identifying operational improvements generating $5M+ annual savings
- Directed enterprise migrations for customer care and network operations systems
Education
MBA -
Gies College of Business
Urbana-Champaign2026-01
Ph.D. - Language and Information Technologies
Carnegie Mellon University
M.S. - Computer Science
Columbia University
M.S. & B.S. - Computer Science
Xidian University
Skills
- AI Product Strategy
- Machine Learning Platforms
- Generative AI Applications
- Data Platforms & Streaming Systems
- Large-Scale Distributed Systems
- Technical Program Leadership
- AI/ML Operationalization (MLOps)
- Cloud & Microservices Architecture
- Agile / SAFe Delivery
- Engineering Team Leadership
- Enterprise Platform Transformation
- Natural Language Processing
- Data Infrastructure & Analytics
- Python
- Spark ML
- H2O
- BERT
- LLMs
- NLP
- Kafka
- Spark
- Cassandra
- MongoDB
- Redis
- AWS
- Azure
- Docker
- Kubernetes
- CI/CD pipelines
- Microservices
- Distributed systems
- Streaming data platforms
Selected Impact
- $650M+ cumulative business value delivered
- 80M+ real-time events processed daily on enterprise AI platforms
- Built and led multiple engineering and data science teams
- Delivered AI systems supporting 10K+ field technicians and 30K+ jobs per day
- Implemented enterprise-scale AI, ML, and generative AI applications
Websites
Technology Stack
Python, Spark ML, H2O, BERT, LLMs, NLP, Kafka, Spark, Cassandra, MongoDB, Redis, AWS, Azure, Docker, Kubernetes, CI/CD pipelines, Microservices, distributed systems, streaming data platforms
Core Expertise
- AI Product Strategy
- Machine Learning Platforms
- Generative AI Applications
- Data Platforms & Streaming Systems
- Large-Scale Distributed Systems
- Technical Program Leadership
- AI/ML Operationalization (MLOps)
- Cloud & Microservices Architecture
- Agile / SAFe Delivery
- Engineering Team Leadership
- Enterprise Platform Transformation
- Natural Language Processing
- Data Infrastructure & Analytics
Timeline
AI-Powered Incident Management Platform (Kepler)
AT&T
2024.01 - Current
Generative AI Transformation for Network Operations
AT&T
2023.01 - 2025.01
Network Topology Knowledge Discovery (AI / ML)
AT&T
2021.01 - 2024.01
ML-Based Capacity Planning and Dispatch Optimization
AT&T
2017.01 - 2024.01
Enterprise AI / ML Solution Delivery
AT&T
2016.01 - 2023.01
Enterprise Platform Transformation
AT&T
2015.01 - 2018.01
Principal Member of Technical Staff
AT&T
2014.01 - Current
Architect
AT&T
2007.01 - 2014.01
MBA -
Gies College of Business
Ph.D. - Language and Information Technologies
Carnegie Mellon University
M.S. - Computer Science
Columbia University
M.S. & B.S. - Computer Science
Xidian University