Name: Adit Jain
Location: Delhi NCR, India
Education: B.Tech CSE (AI/ML) @ SRM IST '27
Vibes: Chess, CTFs, Table Tennis, AGI research, coffee with extra sugar ☕, turning ideas into deploysI build AI systems that don't just predict — they reason, orchestrate, and self-improve. Multi-agent swarms that get better every cycle. Adversarial training loops that harden models while you sleep. RAG pipelines that actually work in production. IDE skills that make other developers' agents smarter.
The first platform that actively hardens models via biologically-grounded sleep cycles.
Wake → Dream → Nightmare → Compress → repeat
Production models silently degrade — adversarial perturbations collapse accuracy from 92% to 23%. NightmareNet fixes that with a cyclic training paradigm inspired by sleep-mediated memory consolidation. Each cycle produces models that accumulate robustness without catastrophic forgetting.
- 434+ tests passing | Dockerized | EU AI Act Article 15 compliance reporting
- +13.64% relative robustness WITHOUT clean-accuracy tradeoff
- 3 cycles: 58.4% TextFooler acc vs 23.1% baseline — with 35% fewer parameters
- Cyberpunk Next.js 16 dashboard (20 panels) + CLI (
nightmarenet train | evaluate | benchmark) - Apache 2.0 OSS core — runs on a 4GB VRAM laptop GPU
| Project | What it does | Link |
|---|---|---|
| NWTR | AI-powered real estate — Next.js 15, Three.js, R3F, GSAP, Spline, 42-component design system | Live |
| AtomicPulse | AI performance management — GPT-4o copilot, SMART goals, KPI prediction, semantic search | Live |
| PrepWise.AI | Azure OpenAI interview platform — resume parsing, adaptive questions, tone analysis, scored PDFs | Live |
| Vibe Syndicate | 6-agent self-improving swarm — cross-model review, compound memory, 14 MCP tools | Live |
| XenoReach.AI | AI-native CRM — autonomous campaign agents that plan, execute & optimize marketing workflows | Live |
| Workforce Dashboard | Regional workforce intelligence — Indeed/LinkedIn/USAJobs ingestion, skills gap mapping, NL Q&A | Live |
Also: SaarthiAI (11-language farmer voice assistant, RAG) · AI Tool Discovery Agent (async GPT-4o pipeline + Teams) · GitHub AI Code Review Bot (RAG + Azure Functions)
Self-improving intelligence amplifier for AI coding agents. 18 behavioral skills (diagnose, prove-it, self-review, grill, context-builder, mcp-conductor, ai-debt-detector...) that make Cursor, Claude Code, Copilot, and Codex fundamentally better. Zero npm dependencies, TF-IDF routing, SkillOpt self-improvement loop.
npx skills@latest add Adit-Jain-srm/skill-forge14-tool MCP server that exposes a full multi-agent swarm workflow from your IDE. Submit tasks, trigger cross-model reviews, query compound memory, manage approvals — all without leaving Cursor.
{ "mcpServers": { "syndicate": { "command": "python", "args": ["syndicate-mcp/server.py"] } } }Merged PRs to external repos:
Programming & Markup Languages
Frameworks & Libraries
Databases & Cloud/Hosting
Software & Tools
The full story — experience, certs, education, and everything in between:
if any of this resonated — say hi
