🚀 I build machine learning systems that scale—taking projects from raw data to deployed models in production. From classical ML pipelines to cutting-edge quantum experimentation, I design architectures that deliver measurable performance gains and real-world impact
- ML Engineering: End-to-End pipelines (data prep → model training → deployment)
- Cloud Infrastructure: Oracle, AWS, Azure, & GCP
- Applied AI: Generative AI, LangChain, Vector search, AI agents
- Quantum ML (Experimental): Prototype circuits & simulations for future-ready ML
ANSI SQL Certified - Universal Database Compatibility Comprehensive SQL expertise enabling seamless work across traditional databases (MySQL, PostgreSQL, SQLite, Oracle, SQL Server) and modern big data platforms (Spark SQL, Hive SQL, Snowflake, Google BigQuery, Azure Synapse).
- Python Trading Algo — A working trading algorithm using simple signal logic (→) 🔗 Github
- Quant11Python — Quantum Teleportation Prototype (→) 🔗 Github
- Exploratory Data Analysis (EDA) (→) 🔗 GitHub being updated
- Data Warehouse (→) 🔗 GitHub being updated
Here are three projects that showcase the full spectrum of my portfolio:
Tesla's Path To Mars: Infrastructure Requirements 2024-2035 (→) 🔗 Tesla's Path To Mars Dashboard – Tableau
🔌📊 Data Sources: Self-compiled analysis sourcing Tesla financials, SpaceX mission data, and space communication specs through SQL, Python, and Tableau.
- Communication Challenge: Earth's 0.001ms latency vs Mars' 4.28-minute delays require fully autonomous systems
- Data Explosion: Operations must scale from 50TB daily to 1,500TB+ for Mars colonies
- Investment Reality: Current $2.5B → Required $80B infrastructure investment
- Technology Readiness: Must achieve Level 9 (fully operational) before 2029 launch window
- The Valley of Death: 2028-2031 validation period when proven Earth tech needs Mars validation
- Timeline Modeling: Optimus robot deployment phases (2024-2030)
- Communication Complexity Analysis: Autonomous system dependency mapping
- Financial Projections: Infrastructure investment scaling ($2.5B → $80B)
- Risk Assessment: Mission criticality analysis
This analysis reveals why Tesla's Earth infrastructure investments aren't just about terrestrial operations - they're building the foundation for humanity's multi-planetary future. Every autonomous system, every data processing capability, and every operational efficiency gain directly impacts the probability of Mars colony survival.
Data Center Revolution: AI, Sustainability & Scale (2018–2025) (→) 🔗 Data Center Revolution Dashboard – Tableau
- Explored the explosive rise of AI infrastructure vs. sustainability solutions — 16x faster growth.
- Visualized the Cooling Revolution (PUE dropping 3.0 → 1.2)
- Cloud Computing Market 3.5x Gold Rush
- Network Infrastructure in Tbps increases in both speed evolution and scale perspective.
- And the emerging frontier of space-based data centers. Led by SpaceX, Thales Alenia Space, and CloudConstelation
- Built a 7-slide interactive data story that reimagines the future of computing infrastructure.
- Positioned complex metrics as a manifesto for humanity’s computational future.
Texas AI Infrastructure Analysis: Smart Contract Automation Opportunity (→) 🔗 Smart Contract Automation Opportunity Dashboard - Tableau
🔌📊 Data Source: Self-compiled dataset proving smart contract automation delivers 4,000%+ ROI, 99.7% faster settlements, and measurable ESG impact.
- Settlement Speed Reduction: 78 days → 47 minutes (99.7% improvement)
- Average ROI: 4,000%+ across all analyzed companies
- Cost Savings: $400-1,900 per transaction through automation
- Environmental Impact: Correlation analysis between renewable energy adoption and operational efficiency
- Google Cloud Texas
- Microsoft Azure Houston
- Meta AI Infrastructure
- Tesla Gigafactory Texas
- NVIDIA DGX Centers
- Amazon AWS Dallas
- Stream Data Centers Houston
- Serverfarm Houston
- Apple Manufacturing Houston
- Oracle Cloud Austin
- Operational Imperative: 4,000%+ ROI demonstrates automation is no longer optional
- Competitive Advantage: 99.7% settlement speed improvement enables new service models
- ESG Compliance: Carbon efficiency gains support sustainability initiatives
- Risk Mitigation: Automated processes reduce human error and operational exposure
- Python (Pandas, Numpy): Data processing, calculations, and analysis pipelines
- TensorFlow & PyTorch: Predictive modeling
- SQL (ANSI Certified): Database queries and data transformation
- Apache Spark: Distributed processing
- Tableau: Interactive dashboard development and visualization
(→) 🔗 Tableau Public | Dashboards that Redefine What Data Can Do
