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.
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.
Tensorus Demo Script: Showcasing Agentic Tensor Management
Walks through six demo scenarios for Tensorus, covering ingestion, querying, tensor operations, MCP integration, and forecasting.
An Introduction to Transformers
Presents a slide deck introducing transformer architecture, attention mechanisms, and a PyTorch implementation from scratch.
Development Summary
Documents the development journey of an AI agent server, covering AI-assisted vs hand-written code, bugs, architecture, and production plans.
Startup Ecosystem Platform β Implementation Plan
Breaks a full-stack startup platform into 10 ordered phases with checklists for backend, AI, and frontend implementation.
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.
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.
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.
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.
WARP.md
Documents a Docker-based Django development environment for testing PostgreSQL extensions (PostGIS, TimescaleDB, pgVector) with Python 3.14 and uv.
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.
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.
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.
WARP.md
Documents the architecture, data model, and development workflow for an AI memory service with MCP bridge integration.