All Documents
33 documents available
π― SherlockAI Interview Preparation Guide
Prepares you for a technical interview on a RAG-based incident resolution system, covering architecture, pipeline, and code walkthroughs.
β ENHANCED SPROUTCV IMPLEMENTATION STATUS REPORT
Reports the implementation status of advanced Google Cloud AI features for a resume analysis platform, listing completed components and deployment steps.
ML Feedback Loop Analysis
Analyzes how user actions feed back into ML predictions, identifies gaps, and proposes safe improvements for a face recognition system.
tensor_factorization
Explains tensor factorization and RESCAL for link prediction, then describes how to rank matches and implement a RESCAL-based matchmaker.
ReachInbox Email Aggregator - Development Plan
Breaks a full-stack email aggregator into 6 sequential phases with mandatory, core, and stretch tiers for an interview project.
AI Research Assistant Usage Guide
Guides researchers through installing and using a tool that combines knowledge graphs, semantic search, and AI agents for paper analysis.
Startup Ecosystem Platform β Implementation Plan
Breaks a full-stack startup platform into 10 ordered phases with checklists for backend, AI, and frontend implementation.
Tensorus Demo Script: Showcasing Agentic Tensor Management
Walks through six demo scenarios for Tensorus, covering ingestion, querying, tensor operations, MCP integration, and forecasting.
βοΈ StudyForge: Implementation Plan
Outlines a phased implementation plan for an AI-powered study app that ingests PDFs, generates quizzes and flashcards, and runs locally via Ollama.
An Introduction to Transformers
Presents a slide deck introducing transformer architecture, attention mechanisms, and a PyTorch implementation from scratch.
BigLake Iceberg Pipeline β Demo Scenarios
Walks through seven demo scenarios for a BigLake Iceberg pipeline, from dirty CSV ingestion to vector search on gold-layer tables.
SMART-CAM (Smart AI Camera) β Full Documentation
Documents an edge AI surveillance pipeline that detects people, extracts ReID embeddings, and tracks identities locally on a Raspberry Pi with optional Hailo NPU acceleration.
Development Summary
Documents the development journey of an AI agent server, covering AI-assisted vs hand-written code, bugs, architecture, and production plans.
Pulse β Life Cofounder | Build Log
Documents a full-stack monorepo that ingests LinkedIn and GitHub data, generates embeddings in-browser, and provides a RAG chat with an AI cofounder.
Vesper β Implementation Plan
Breaks a journal app build into 5 sequential phases with checkboxes, exit criteria, and file references for each task.
CricOracle
Plans a RAG system that answers cricket law questions by crawling MCC rules, embedding them, and retrieving relevant chunks before querying an LLM.
π Vectro+ Visual Demo Guide
Walks through embedding compression, quantization, search, and benchmarking commands for the Vectro+ CLI tool.
Legal Brief Matcher: Technical Documentation
Documents a legal brief matching system that uses embeddings, citation analysis, and multi-factor confidence scoring to align arguments between opposing briefs.
Building an AI Travel Assistant with Micronaut and LangChain4j
Builds a Micronaut travel advisor that embeds user queries, runs vector similarity search in Oracle AI Database, and returns semantically matched destinations via a chat endpoint.
Intelligent Document Query Platform β GitHub-ready Low-Level Design (LLD)
Provides a copy-ready low-level design for a serverless document query platform with vector search and LLM integration.
Contextify - Implementasyon PlanΔ±
Defines a multi-phase plan for a local AI agent memory system with Go MCP server, PostgreSQL+pgvector, Ollama embeddings, and a web UI.
WARP.md
Documents a Docker-based Django development environment for testing PostgreSQL extensions (PostGIS, TimescaleDB, pgVector) with Python 3.14 and uv.
TODO β Dev Sentinel
Maps an 8-phase build plan for a CLI tool that detects developer frustration and generates learning notes from LLM transcripts.
Word2Vec Embeddings Quiz
Tests understanding of Word2Vec concepts, gensim training, and a product recommender system built on transaction data.