Atlas — AI Editorial Agent
Eight-stage LangGraph + DeepAgents pipeline for long-form publishing: research, outline, draft, review, improve, and human approval gates, with persistent skill memory.
Generative AI Engineer — Agents, RAG & ML Systems - Toronto, Canada
I'm Abhay Raj Singh, a Generative AI engineer with 9+ years building production ML and agentic AI systems — from document parsing and intelligence platforms to real-time voice avatars. The projects below are what I build outside the day job: agent workflows, RAG pipelines, and full-stack AI products in Python, TypeScript, LangGraph, FastAPI, Next.js, and Supabase.
Planning, memory, tool use, orchestration, and human approval loops.
Research assistants, content systems, travel planners, voice agents, and automation tools.
Computer vision, deep learning, ML interview preparation, and project-based education.
Selected Work
Eight-stage LangGraph + DeepAgents pipeline for long-form publishing: research, outline, draft, review, improve, and human approval gates, with persistent skill memory.
Playable city simulation where autonomous citizens have private memory, run LangGraph exchange nodes, and build relationships over time.
Tool-first travel concierge: intent parsing, provider calls, route optimization, and a repair loop before returning a structured, source-cited itinerary.
AI social media automation platform: content discovery, image generation, and cross-channel scheduling with a self-improving engagement feedback loop.
Schema-first planning app that pressure-tests an idea and generates a traceable PRD, SOW, system design, and coding-agent prompt bundle.
Receipt and invoice workspace over WhatsApp: structured extraction, human-in-the-loop approval, agentic RAG spend Q&A, and outgoing invoice generation.
Generates a talking "digital human" video from a character description and script, combining local LLMs, image generation, TTS, and lip-sync video.
Real-time voice support agent running fully local models: speech-to-text, FAISS retrieval over a private knowledge base, and text-to-speech response.
Multi-agent SaaS that turns a research query into a professional report, presentation, or manuscript via deep search and conditional LangGraph routing.
133-day interview-prep platform spanning ML, GenAI, LLMOps, and system design, with a deepagents-style AI Tutor for chat and realtime voice coaching.
Hierarchical multi-agent personal assistant: a supervisor agent delegates email, calendar, Slack, research, and document RAG tasks to sub-agents over chat.
The meta project: an agentic command center that builds a developer's portfolio from GitHub and a resume, then drafts READMEs and opens real pull requests.
Toolbox
Deep learning, machine learning, computer vision, RAG, vector search, agent workflows, prompt systems.
Python, FastAPI, LangGraph, CrewAI, Supabase, pgvector, API design, workflow orchestration.
TypeScript, JavaScript, React, Next.js, product dashboards, developer-facing tools, responsive interfaces.
Vercel, GitHub Actions, production scaffolds, documentation, automation, and practical product iteration.
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