Generative AI & Large Language Models
Production deployment and optimization of LLMs at enterprise scale — managing the full operational lifecycle including latency, cost per request, token budgeting, state management, and observability. Applied across retail, healthcare, finance, and manufacturing.
Large Language Models
LLM Operations
Prompt Engineering
RAG
Generative AI
Copilot Solutions
Intelligent Chatbots
Content Generation
LLM Performance Optimization
Model Evaluation & Monitoring
Agentic AI Systems
Designed and shipped production multi-agent systems using ReAct loops, self-reflection, and hierarchical agent delegation — built with LangGraph, CrewAI, and ADK across Azure, GCP, and AWS for real enterprise use cases.
LangGraph
CrewAI
ADK
ReAct
Multi-agent Systems
Hierarchical Agent Delegation
Self-reflection Patterns
Agent Orchestration
Semantic Kernel
AutoGen
Azure AI Agent Service
Amazon Bedrock Agents
Cloud & Infrastructure
20+ Microsoft Azure certifications and AWS Certified Architect, with deep GCP practice. Built at 1PB+ data scale across multi-cloud enterprise environments. Experienced in FinOps, cloud governance, and delivering migrations 50% faster than industry benchmarks.
Microsoft Azure
AWS
Google Cloud Platform
Azure AI Foundry
Microsoft Fabric
Vertex AI
Amazon Bedrock
Azure Kubernetes Service
Multi-cloud Architecture
Cloud Migration
FinOps & Cost Optimization
Hybrid Cloud
DevOps · CI/CD
Data Architecture & Platforms
Data architecture is where I've spent the most time. Designed unified enterprise data platforms from the ground up — lakehouse systems handling 1PB+ data, real-time pipelines processing billions of daily events, and governance frameworks that teams actually adopt. Advised 300+ enterprise customers on data maturity and the path from raw data to trusted AI.
Architecture Patterns
Lakehouse Architecture
Data Architecture
Enterprise Architecture
Lake-centric Architecture
Data Warehousing
Delta Lake
Medallion Architecture
Hybrid & Multi-cloud Data
Platforms & Tooling
Microsoft Fabric
Azure AI Foundry
Databricks
Snowflake
Google BigQuery
Azure Data Factory
Azure SQL · Cosmos DB
PostgreSQL
Informatica ETL
Governance & Strategy
Data Governance
Data Strategy
Data Maturity Assessment
Real-time Pipelines
Data Quality & Observability
Data Lineage
ETL / ELT
Machine Learning & Analytics
MIT-trained in ML for big data. Applied supervised, unsupervised, and reinforcement learning across retail forecasting, customer personalization, and NLP. Built trend forecasting systems deployed across 150+ global markets.
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
MLOps
Model Drift Detection
Trend Forecasting
Retail Analytics
Power BI
Tableau
Looker
Alteryx
Engineering
Hands-on builder with deep engineering roots. Writes Python, PySpark, and SQL. Designed distributed systems at enterprise scale. Led teams through the full delivery lifecycle — architecture, coding, debugging, DevOps, and CI/CD in production.
Python
SQL
PySpark
Apache Spark
Kubernetes
DevOps
CI/CD Pipelines
Distributed Systems
React
Oracle Technologies
Azure DevOps
Leadership & Strategy
Scaled global teams 5x to 20 professionals, led 60+ experts across three continents, and managed a $32M strategic pipeline. Harvard-trained in General Management and Business Analytics. UPenn-certified in Executive Presence and Board-level leadership.
Executive Advisory
C-level Communication
Technology Strategy
Technology Roadmapping
Revenue Leadership
Pipeline Management
Global Team Leadership
People Management
Vendor Management
Management Consulting
Cross-functional Leadership
