Driving Search & Discovery Through Data.
Experimentation, Statistical Modeling, and AI-Powered Analytics for Marketplace Optimization.
Professional Portfolio
Marketing Experimentation Platform
AI-powered chatbot for marketing experiment analysis. Implements binomial tests, Z-tests, chi-square, and post-hoc power analysis. Automated statistical winner determination with confidence intervals.
- Experiment Analysis: Binomial, Z-test, Chi-square tests
- Power Analysis: Post-hoc statistical validation
- Automated Decisioning: AI-assisted winner determination
AI-Powered Analytics Platform
Multi-workspace BI platform with natural language queries via Databricks Genie API. Enables semantic exploration of complex datasets with contact/account lookup, buyer journey analysis, and bulk data enrichment.
- AI Query Interface: Natural language → SQL generation
- Multi-workspace: Federated data across environments
- Bulk Enrichment: Excel/CSV processing at scale
VOC & Buyer Journey Chatbot
Production-ready chatbot with dual-brain architecture: SQL Brain (Genie API for structured queries) and Docs Brain (RAG for unstructured PDFs). LangGraph orchestration with LangSmith observability.
- Dual-Brain Architecture: SQL + Document retrieval
- LangGraph State Management: Complex workflow routing
- Vector Search: Databricks BGE-large embeddings
Analytics Data Pipeline
Automated data export pipeline using GA4 Data API. Bypasses UI sampling limits to extract 100K+ rows of unsampled user behavior data for accurate cohort analysis and funnel metrics.
- Unsampled Export: 100K+ rows without sampling
- Cohort Analysis: D1/D7/D30 retention tracking
- Automated Pipeline: Daily scheduled extraction
LinkedIn Campaign Measurement
Automated daily campaign stats export via LinkedIn Marketing API. Company name resolution and comprehensive Excel reporting for cross-platform ad measurement and partner data delivery.
- Daily Automation: Scheduled campaign data export
- Company Resolution: URN → name mapping
- Cross-Platform: Multi-channel attribution reporting
Personal Portfolio
Systemic Multi-Agent Coordination
Beyond Chatbots: A dual-layer architecture separating tactical execution from strategic oversight to ensure production-grade AI reliability.
- System 1 (Tactical): Persona-driven sub-agents executing high-velocity task loops (The "Inner Loop").
- System 2 (Strategic): Parent orchestrator enforcing quality gates and architectural safety (The "Outer Loop").
- Synchronized Reasoning: Real-time verification ensuring autonomous execution never breaks project intent.
Moltbot - Personal Productivity Agent
Personal family assistant for 10x productivity. Synthesizes infinite context across emails, calendars, news, and market updates into morning briefs. Acts as an independent agent for product brainstorming, cron jobs, and reminders across all accounts.
- Synthesis: Morning briefs (Email/Cal/News)
- Automation: Independent cron jobs
- Memory: Infinite context assistant
Infinite Memory: Scaling Agentic Memory to 10M Turns
Formalized research proving that infinite memory is architecturally achievable via a Hybrid Gated Shadow Layer. Powering Antigravity to maintain 100% recall at 10M+ turns with O(1) retrieval cost and >99.9% token efficiency by neutralizing the 99% temporal decay effect.
- 100% Recall at 10M+ turns (Hardened RGC)
- Sentinel Switch: Auto-switch SSC to RGC at 1,000,000 turns
- Synthetic Saturation: ~12% decay acceleration in code-heavy contexts
- Recall Law: Temporal decay (99%) vs Extraction fidelity (1%)
Personal AI Infrastructure (PAI v2)
A persistent, self-improving AI Operating System layer integrated across all local projects. Implements standard orchestration cycles and long-term memory via the Kai System for architecture-level persistence and session resilience.
- Orchestration: The Six Cycles of agentic workflow
- Shadow Profile: Secure execution via non-native rituals
- Kai System: Automated decision & learning persistence
- Session Resilience: 429/413 loop awareness & state preservation
Autonomous Trading System (V4.1)
Production-grade autonomous trading system managing a dual-track portfolio of Stocks and Crypto. The V4.1 'Steady Winner' strategy achieves 80.8% XIRR (60.3% Alpha over S&P 500) through dual-track asset allocation, Golden Cross momentum, and real-time Shadow Portfolio tracking.
- 80.8% XIRR (60.3% Alpha vs S&P 500)
- Dual-Horizon: Technical momentum vs. long-term fundamentals
- Shadow Tracking: Real-time statistical verification of trade signals
- Tax Efficient: Optimized execution for long-term capital gains
IDE-Agnostic Agent Orchestrator
An orchestration framework that unifies AI agent workflows across VS Code, JetBrains, and CLI. Decouples safety policies (runtime locks, circuit breakers) from specific IDE adapters.
- Policy-First: Mandatory safety and quality gates
- Tool Agnostic: Works across multi-IDE environments
- Circuit Breakers: Prevents infinite agent loops
Astrological Research Platform
Full-stack platform combining astronomical calculations (Swiss Ephemeris) with AI interpretations. Backed by rigorous statistical research with FDR-corrected significance.
- 5,885 figures + 239 countries analyzed
- FDR-corrected significance (q < 0.001)
- 14 yoga types and 6 dosha types validated
- Next.js + FastAPI + PostgreSQL
Philosophy Sage
AI-powered platform for ancient philosophy texts with GraphRAG architecture. Neo4j knowledge graph for contextual retrieval across the Mahabharata, Bhagavad Gita, and other classical texts. Sanskrit TTS integration.
- GraphRAG: Knowledge graph + vector search hybrid
- Neo4j: Entity relationships across 18 Parvas
- Sanskrit TTS: Audio playback of original shlokas
- LangChain: Conversational retrieval chains
Sonic Geometry Visualizer
Interactive exploration of Music Theory × Physics × Math. Real-time oscilloscope, spectrum analyzer, Lissajous figures, Circle of Fifths, and polyphonic virtual keyboard—all native Web Audio API.
- Real-time FFT: Spectrum analyzer + oscilloscope
- Lissajous Curves: Harmonic ratio visualization
- Circle of Fifths: Interactive music theory lab
- Zero Dependencies: Pure vanilla JavaScript
Technical Stack
Experimentation & Statistical Modeling
A/B Testing (Design & Analysis), Causal Inference, Hypothesis Testing, Power Analysis, Regression, Forecasting, Python (SciPy/StatsModels).
AI & Machine Learning
LLM Integration (LangChain/LangGraph), RAG Pipelines, Text-to-SQL, Embeddings, Vector Search, Model Serving.
Metrics & Data Infrastructure
Metrics Design, Data Pipelines, SQL/BigQuery/Databricks, ETL Automation, Reporting Tools, Marketplace Analytics.