threefive, nobody does SCTE-35 better. Nobody.
Batching ad tech providers’ operations for humans
Local IAB Content Taxonomy Mapper (2.x → 3.0). Deterministic → fuzzy → optional embeddings. Exports OpenRTB & VAST-ready category IDs with vector attributes and SCD awareness.
Batch-query Open Sincera publisher data to audit domains, analyze supply paths, and improve transparency in programmatic advertising.
Supply-side ad ops diagnostic agent built on AAMP standards. MCP server with bid rate analysis, IVT detection, ads.txt compliance, and demand diagnostics.
maskhtml.py - bypass ad and landing page submission fingerprinting + heuristic checks by fracturing your html source code! 'murka
AI-powered ad optimization using Reinforcement Learning and Groq API to maximize click-through rates
Unofficial Python CallRail API Wrapper
Unofficial Python TikTok Ads API wrapper
Production-grade Deep Learning pipeline using Temporal Convolutional Networks (TCN) to forecast ad lead generation. Features hybrid JSON/CSV ingestion, Optuna Bayesian optimization, and probabilistic forecasting.
An automated reporting pipeline that converts raw ad campaign logs into executive-ready PDF briefings with AI-generated narratives in under 30 seconds.
An open-source tool to audit ad campaign logs, find refund opportunities, and fight ad fraud.
Multimodal AI ETL pipeline using Google Gemini 2.0 Flash to extract structured metadata (JSON) from raw video and image creatives. Automates feature engineering for downstream forecasting models.
Semantic search over technical documentation using natural language. RAG pipeline with Milvus Lite vector database and sentence-transformer embeddings. Demonstrated with the IAB OpenRTB 2.6 programmatic advertising specification.
Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.
Enterprise-grade Ad-Tech MLOps pipeline for Programmatic RTB. Features distributed ETL (PySpark), distributed training (Ray), and a sub-50ms Bidding Engine (FastAPI) with MLflow registry and automated drift monitoring (Evidently AI).
Pixel Tracking Lab is a hands-on Dockerized project that shows how web tracking works end to end, from browser events and 1x1 image pixels to UTM capture, PostgreSQL storage, and Metabase dashboards.
QPS control plane for Google Authorized Buyers
End-to-end ML project for Real-Time Bidding CTR prediction. Includes FastAPI, Docker, and Airflow setup.
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