more about me.
Overview
Strategic product leader with over 15 years of experience driving B2B software solutions from concept to reality across client-facing platforms. Proven track record of launching and evolving platform products that address key market challenges. Known for successfully leading cross-functional teams through large-scale initiatives while building strategic partnerships and driving success.
Recognized for:
• Translating complex technical concepts into clear business strategies
• Driving product innovation while maintaining operational excellence
• Building collaborative, high-trust environments that enable exceptional results
Current Focus
Completed advanced AI/ML coursework at UT McCombs with hands-on projects in natural language processing, computer vision, and predictive analytics. Passionate about responsible AI implementation and integrating AI ethics into enterprise product strategy
Seeking product leadership opportunities in AI-powered enterprise solutions where strategic vision and hands-on execution drive meaningful organizational change. Particularly interested in roles that leverage my unique combination of enterprise transformation experience and modern AI/ML expertise to build products that reshape how businesses operate.
What I Do
Enterprise Transformation
• Enterprise Digital Transformation
• Enterprise Technology Delivery
• Business Process Automation
• Organizational Change Management
• Cross-functional Program Leadership
• Stakeholder Management at Scale
• Platform Modernization & Migration
AI & Product Strategy
• AI/ML Product Strategy
• Responsible AI Implementation
• Data Science Applications
• Cloud Computing with GenAI
• Product Analytics
• Data-Driven Decision Making
Technology
• Platform & Ecosystem Strategy
• SaaS Platform Management
• Agile Transformation
• DevOps Practices
• CI/CD Implementation
• Cloud Migration & Modernization
Operations
• Product Roadmap Development
• Cross-functional Team Leadership
• Hiring & Talent Acquisition
• People Leadership
• Career Development
• Budgeting & Forecasting
Background
My career has been defined by leading transformative initiatives at the intersection of technology and business. From orchestrating alignment across 258+ stakeholders representing 78 product suites, to reducing deployment times by 95% through CI/CD implementation, I focus on delivering measurable outcomes that drive business value.
Personal Growth Projects
Recent focus on AI/ML and cloud computing has equipped me with hands-on expertise in building production systems spanning NLP, computer vision, and predictive analytics. I've developed sentiment analysis systems achieving 95%+ accuracy, CNN-based classification models with 97%+ accuracy, and deployed containerized applications on AWS and Azure.
Featured Project
AI-Powered Portfolio with RAG
FeaturedBuilt an intelligent portfolio site with Retrieval-Augmented Generation (RAG) to enable natural language querying of career history and projects. End-to-end implementation from document processing to serverless deployment with Smartsheet for roadmap planning.
- • Interactive chat interface with streaming responses
- • Real-time semantic search across 700+ chunks
- • Contribution submission (review process for integration)
- • Query analytics tracking (performance and relevance scores via admin dashboard)
- • Serverless AWS Lambda architecture
- • Responsive React frontend
- • Backend: Python, Docker, AWS SDK, Dev/Test with automated deployment scripts
- • Frontend: Next.js 15, React 19, Tailwind CSS
- • AI: Claude 3.5 Sonnet, FAISS, Embeddings API
- • Infrastructure: AWS Lambda, S3, DynamoDB, ECR, CloudWatch, API Gateway
- • Content gap analysis based on low-relevance queries
- • Enhance content and work examples based on questions
- • Conversation history persistence
AI & Machine Learning Projects
Post Graduate Program • UT Austin McCombs • 4.17 GPA
Stock Market News Sentiment Analysis
Apr 2025AI-driven sentiment analysis system to automatically process and analyze news articles, gauge market sentiment, and summarize weekly news to enhance stock price prediction accuracy and optimize investment strategies.
Multi-model NLP pipeline with transformer architectures for financial text analysis
Plant Seedling Classification
Mar 2025Built a robust image classifier using CNNs to efficiently classify 12 different plant seedlings and weeds to improve crop yields and minimize human involvement in agricultural monitoring.
Transfer learning and data augmentation for production-scale image classification
Bank Customer Churn Prediction
Feb 2025Analyzed customer data and built neural network models to identify customers likely to churn, with recommendations on retention strategies for banking operations teams.
Neural network optimization with business retention strategies
Credit Card Users Churn Prediction
Jan 2025Predictive model to determine if credit card customers will leave the service and identify the underlying reasons, enabling targeted retention strategies.
Ensemble methods for imbalanced datasets with targeted retention insights
Personal Loan Campaign
Dec 2024Identified bank customers with high likelihood of purchasing loans by analyzing customer attributes and building predictive models to improve marketing effectiveness and conversion rates.
Decision tree optimization and feature engineering for targeted marketing campaigns
FoodHub Analysis
Oct 2024Exploratory data analysis for food aggregator company to understand demand patterns across restaurants and cuisines, enhancing customer experience and business strategy.
Statistical analysis and data visualization for actionable business insights
Cloud Computing Projects
Post Graduate Program • UT Austin McCombs • 4.13 GPA
Automated Business Process on Azure
Sep 2025Created an automated, event-based real-time process using Azure managed services, replacing manual batch-based workflows to enable faster decision making and fraud detection.
Event-driven architecture and serverless automation for real-time business processes
Cloud File Share & Sync on Azure
Sep 2025Implemented scalable and secure file share solution using Azure services with full IT control for governance and security compliance in enterprise environments.
Network security architecture and governance-compliant cloud infrastructure
Container Deployment on AWS Lambda
Aug 2025Deployed OCI container images on AWS Lambda to leverage event-driven runtime and cost savings while maintaining container-based development predictability and control.
Container-based serverless deployment with cost optimization and event-driven design
Team Communication Solution on AWS
May 2025Implemented scalable Mattermost team communication platform on AWS with complete IT control for governance and security in accordance with company requirements.
VPC design, network segmentation, and enterprise-grade security controls