Hi, I'm Prince Singh 👋
Building Multi-Model LLM Orchestration, large-scale AI systems, distributed infra & production-grade RAG Pipelines • MCP Servers • GenAI & Fine-Tuning • Vector Search • Cloud-Native Production
Claude Opus 4.8What have you actually shipped in production?
ProPeers·Delhi, Remote
Architected full AI ecosystem powering 80%+ platform traffic
ProPeers·Delhi, Remote
Built & scaled Roadmaps feature · 600K+ users
Cloud Conduction·USA, Remote
AI chat app (React + .NET) · 60% efficiency boost
Grounded conversational AI · 24+ frontier models across 11 providers (GPT-5.4, Claude Opus 4.8, Gemini 3.1 Pro, Grok 4.3) · 3-Layer Hybrid RAG on 10M+ embeddings · ~99% RAG accuracy · sub-300ms first-token · zero-redeploy model registry
One prompt raced across 2–24 frontier models concurrently · modelId-tagged SSE demultiplexing · live first-token benchmarking · 10M+ tokens benchmarked · shared RAG pass for fair comparisons · ~80% faster model evaluation
Real-time voice-to-voice AI · 16kHz PCM over WebSocket → Azure STT → LLM → SSML TTS · sub-200ms latency · 50+ languages · 99% VAD accuracy · 500+ visually impaired users · JWT via Sec-WebSocket-Protocol
Production conversational AI at princesinghai.com/arx · 24+ frontier models across 11 providers (GPT-5.4, Claude Opus 4.8, Gemini 3.1 Pro, Grok 4.3, DeepSeek V4, Kimi K2.6) · 3-Layer Hybrid RAG over 10M+ ChromaDB embeddings · ~99% RAG accuracy · sub-300ms first-token · zero-redeploy model registry
~99% RAG accuracy · 95% fewer hallucinations · sub-300ms first-token across 30+ streaming endpoints · 50K+ daily API calls with 99% abuse reduction · 60% perceived latency improvement via adaptive SSE + response cache · new models live within minutes with zero redeploys
Multi-LLM orchestration arena at princesinghai.com/versus · one prompt raced across 2–24 frontier models concurrently · modelId-tagged SSE demultiplexing · live first-token latency benchmarking · 10M+ tokens benchmarked · shared 3-Layer RAG pass for fair-by-construction comparisons
10M+ tokens benchmarked · ~80% faster model evaluation vs tab-hopping · <300ms first-token measured fleet-wide · 24 concurrent streams rendered at 60fps · 95% fewer hallucinations across every contender via one shared RAG pass · 50K+ daily API calls
Real-time voice conversations with 24+ frontier models at princesinghai.com/voice · full-duplex WebSocket pipeline (48kHz capture → 16kHz PCM → Azure STT → LLM → SSML TTS) · sub-200ms latency · 50+ languages · Voice Activity Detection · JWT via Sec-WebSocket-Protocol
Sub-200ms end-to-end voice loop · 500+ visually impaired users served · 50+ spoken languages at 99% VAD accuracy · zero raw audio stored (WSS encrypted) · TTS audio cache with zero re-synthesis cost · 2 voice req/12h rate governance
Production AI platform · 3-phase architecture (Chat/Comparison/Voice) · 20+ LLMs (GPT-5.2, Gemini 3 Pro, Claude Opus 4.6, Grok 4.2, LLaMA 4 Maverick) · parallel 2-4 model comparison · voice-to-voice <300ms · RAG with 10M+ embeddings · MCP protocol · 50K+ daily API calls
15K+ active users · 50K+ daily API calls · 10M+ embeddings indexed · <300ms voice latency · 99% uptime · 800+ user feedback · 20+ LLM providers · parallel comparison across 2-4 models simultaneously
Production Go AI DSA tutor · 6-step RAG (HyDE → 12 ChromaDB queries → RRF k=60 → MMR λ=0.7) · 10,000+ problems across 8 platforms · GPT-5.2 + Claude Sonnet 4.6 (Bedrock) + Gemini 3.1 Pro · SSE streaming · MongoDB AI cache · sub-200ms Fast Search
Sub-200ms Fast Search · 12 ChromaDB queries per request · 6,000+ problems indexed via 10-goroutine pipeline · MongoDB cache with SSE-identical replay · zerolog checkpoint logs at every pipeline step
Production multi-cloud platform (princesinghdev.com + ai.princesinghdev.com) · AWS primary + Azure secondary HA · Next.js SSR/ISR · 98+ Lighthouse scores · hybrid DB (MongoDB + DynamoDB + Redis) · real-time notifications <50ms · 99.99% uptime · 18K+ AI queries processed
12K+ visitors · 99.99% uptime · 98+ Lighthouse scores · <50ms real-time notifications · 18K+ AI queries processed · 500+ reviews · 4.8/5 rating · 40% retention boost · 10K+ concurrent connections
Full EdTech platform trusted by 40,000+ students · 1:1 personalized mentorship · structured roadmaps for DSA, development & system design · 150+ programming sheets · mock interviews · resume reviews · ₹1.3 Lakh+ revenue · 4.7/5 rating
₹1.3 Lakh+ revenue generated · 40,000+ students mentored · 100% satisfaction rate · 4.7/5 rating · 150+ DSA sheets · mock interviews & resume reviews · 5-stage career path · 24/7 community support
Knight · Top 5% · 1879+ rating
Global Rank 13 · 6-star
Institute Rank 1 · Global 98
Global Rank 130 · Top 0.5%
Rank 52 · 6-star · 119K+ score
5-star Python/Java
5000+ across 10+ platforms
1500+ days unbreakable
Engineers mentored on DSA, System Design, Full-Stack Development, AI-driven career guidance, Resume reviews, Mock interviews & Remote job preparation.
Sage University Indore · 2020 – 2024
Hey - I'm Prince Singh. I came from a Tier 3 college with no senior, no network, no roadmap. Just raw hunger to figure it out.
I cracked remote SDE roles not because I was the smartest in the room, but because I built the right systems, followed the right patterns, and never stopped shipping.
Today I architect production AI at a Founding Engineer level - Agentic pipelines, RAG retrieval, MCP, and multi-model orchestration across 24+ models, powering products that reach 600K+ users.
Arx is that same engineering, turned into something you can actually talk to. And everything I learn, I teach - for free, to 40K+ engineers.
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Founding roles · AI Architecture · Mentorship · Let's connect and create impact.
