Projects
Production-grade AI systems, multi-agent pipelines, RAG architectures, and ML projects.
Hybrid RAG, knowledge-graph and agent retrieval over ~1,600 civic meetings — orchestrated with LangGraph, exposed as governed tools through MCP, with human approval required on sensitive actions.
Agentic retrieval with governed tools, human approval, and enforced abstention
A versioned evaluation harness with real statistics behind it — bootstrap confidence intervals on retrieval deltas, ablation studies, and an LLM-as-judge calibrated against human labels via Cohen's kappa.
Statistical rigor as a release gate: bootstrap CIs, ablations, calibrated LLM-judge
A canonical MongoDB platform unifying 1.7M+ public-record profiles and ~4M historical participation records from incompatible county schemas.
1.7M+ profiles · 20,060 new profiles reconciled, 1 ambiguous identity isolated
A live field dashboard over a structured voter database — GPS tracking, nearest-neighbor search over 2dsphere-indexed GeoJSON, and optimized multi-stop routing. Used in a real campaign.
Live dashboard used in a real campaign, with optimized multi-stop routing
OpGov's first AI service — deployed on Azure Container Apps and live in production — ingesting transcripts, agendas and public-comment files into validated structured JSON.
Live in production since launch
An ingestion pipeline sourcing meeting captions across multiple platforms via third-party APIs, with Whisper-based speech recognition as fallback when no captions exist.
Live in production — unblocks every downstream AI system
Content data model and role-based permission system for a civic publishing platform, designed to support the product's evolution into a news operation without restructuring.
Schema has scaled into a full news operation unchanged
A multimodal autonomous agent system for complex task automation, built against the Model Context Protocol and agent-to-agent communication. 3rd Prize.
3rd Prize — MCP × A2A Hackathon
A multi-agent platform where specialized researcher, market-analyst, technical-evaluator and synthesizer agents collaborate on proposal evaluation, with a full-stack interface for running and reviewing results.
Full-stack multi-agent decision support
An agentic workflow that parses simulation logs, detects anomalies and converts raw output into structured technical findings, with FAISS retrieval over specifications and prior analyses.
Agentic anomaly detection over simulation logs
A systems-focused lab of six experiments on local LLM inference, GPU memory, scheduling and fine-tuning — measuring what most demos skip.
Six experiments: inference, memory, scheduling & fine-tuning
A founder's early concept turned into a working prototype: a wearable capturing point-of-view video with on-device YOLO object detection and multimodal emotion inference.
0→1 hardware + edge AI product, from founder concept to working prototype
Retrieval, clustering, ranking and summarization over continuously updated market sources.
Retrieval + summarization over live market sources
A multi-channel campaign communications platform (Resend, Twilio) with versioned messaging, queued bulk delivery, inbound webhooks and geographic targeting. Used in a real election.
Used in a real election, at thousands-per-send scale
An NLP classifier distinguishing human- from AI-written text, evaluated with precision/recall/F1 and documented reliability limits.
Evaluated with precision/recall/F1 + documented limits
Resampling workflows producing empirical uncertainty distributions, comparing CI-based and permutation-based conclusions.
CI-based vs permutation-based inference compared
A logistic regression model with coefficient interpretation, class-balance handling and stated bias limitations.
Coefficient interpretation + stated bias limitations
A production website designed and developed end-to-end for a local automotive business — services, trust signals, and contact, from requirements through deployment.
Live production site, owned end-to-end
More experiments, research notebooks, and open-source work on GitHub.
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