Systems 600K+ users run onshipped in just 2.8 years

14 systems shipped, 5000+ DSA problems solved, and 40,000+ engineers mentored. Everything is open in the lab.

Prince SinghChat with ArchitectFounder
AI Lab6 live products
AI Architect You Can Talk ToServed as the flagship chat surface of a platform tested with 1000+ active users, processing 18,000+ AI queries from 12,000+ unique visitors and gathering 800+ detailed user feedback that drove 3 major product iterations to a 99% user satisfaction rate - all with no API keys required from users.800+ detailed user feedback38 technologiesOpen product Best vs Best AI Model ArenaProcessed 10M+ tokens through the parallel comparison engine during testing, letting users benchmark 12+ leading LLMs simultaneously on the same prompt with empirical, per-query evidence - first-token latency, full completion time, and answer quality measured side by side - and reducing model-evaluation time by ~80% versus tab-hopping between provider UIs and manually copy-pasting prompts.12+ leading LLMs simultaneously37 technologiesOpen product Real-Time Voice-to-Voice AIShipped a production voice-to-voice AI pipeline achieving sub-200ms end-to-end latency - browser audio capture → 16kHz PCM streaming → Azure STT → frontier LLM → Azure TTS → gapless playback - a real-time full-duplex loop that most teams never take beyond a hackathon demo, running live for every visitor with 24+ selectable models.24+ selectable models32 technologiesOpen product Your AI Peer ProgrammerDelivered a full production RAG pipeline in Go that fires up to 12 ChromaDB queries per user request (6 expanded query variants × 2 collections) with sub-200ms latency in fast search mode and 2-3 seconds end-to-end in full RAG mode - covering the complete path from query to streamed LLM answer.3,000+ LeetCode problems with full solutions32 technologiesOpen product ProductSuccessfully tested with 1000+ active users across all three phases, gathering 800+ detailed user feedback leading to 3 major iterations and achieving 99% user satisfaction rate.1000+ active users43 technologiesOpen product ProductAchieved 12,000+ unique visitors and processed 18,000+ AI queries within first 6 months, with 500+ positive user reviews and 4.8/5 average rating12,000+ unique visitors37 technologiesOpen product
Engineering Systems8 major contributions
₹222K → ₹185K/monthCut monthly cloud spend from ₹222K to ₹185K - a 17% reduction saving ₹37K every month (₹4.4L+ annualized) - with the optimization loop actively driving toward ₹150K/month (~32% total, ₹8.6L+ annualized run-rate), achieved through measured right-sizing rather than blanket cuts.10+ VMs in both directions13 technologiesRead the case Multi LLM & RAG OrchestratorAchieved 3x surge in roadmap completion velocity through adaptive personalization, difficulty-proficiency alignment, and progress-aware content customization3x surge in roadmap completion velocity13 technologiesRead the case Engineering systemAchieved ~99% code evaluation accuracy through AI-powered logical validation without relying on traditional compilers~99% code evaluation accuracy15 technologiesRead the case AI Peer Programming Assistant3x higher user engagement through personalized, context-aware interactions3x higher user engagement through personalized15 technologiesRead the case Intent-Based Intelligent Discovery EngineSingle search bar replacing 5 separate discovery flows for Roadmaps, DPs, Mentors, Webinars, and Bootcamps100+ roadmaps12 technologiesRead the case Code with AI Agent40% boost in engagement and retention40% boost in engagement and retention5 technologiesRead the case Scaling 150+ Microservices70% backend performance improvement70% backend performance improvement6 technologiesRead the case Automated Mentor Payout & Payment InfrastructureOffloaded 80% of manual finance effort every month - earnings computation, document creation, approval tracking, and transfer follow-ups that previously consumed days of spreadsheet work now run as an automated pipeline, cutting the payout cycle turnaround from days to hours.80% of manual finance effort14 technologiesRead the case
Experience Lab2 companies · 3 roles
Founding Engineer & AI Architect · ProPeersJuly 2025 – PresentArchitected the full AI ecosystem powering RoadmapAI, CodeLLM, AskAI, Global AI Search and the AI Code Editor building A…
SDE - 1 · ProPeersJuly 2024 – July 2025Built and scaled the flagship "Roadmaps" feature, delivering 100+ curated learning paths across DSA, Development, and Sy…
Junior Software Engineer · Cloud ConductionJan 2024 – June 2024Built an AI-powered chat application from the ground up using React and .NET, improving frontend efficiency by 60% and b…
Resume analyserMNC and startup resumes, scored against 2026 hiring demand
77MNC resumeBest fit: SDE-2 / SDE-3, Backend
Skills vs MNC demand76
CS fundamentals93
86Startup resumeBest fit: AI Engineer (LLM / RAG / Agents)
Skills vs startup demand88
AI readiness88
Evidence vs demandtop skills, both markets
Role fitbest matches
AI Engineer (LLM / RAG / Agents) Startup92
Platform / Infra Engineer Startup90
Founding Engineer Startup88
Full-Stack AI Engineer Startup83
Open the resume analyser
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princesinghai.com · Chat with Architect

Hello, I'm Prince Singh | AI Architect

I'm AI Architect & AI Engineer focused on designing and scaling production-grade AI systems. I specialize in Agentic AI, AI Architecture, and building scalable, robust systems with OpenAI, Google AI, Anthropic (Claude), Mistral AI, Meta, Grok, NVIDIA, MiniMax, DeepMind, Qwen, Moonshot and Databricks, enabling intelligent model routing, resilient fallback strategies, cost-aware inference, and latency-optimized multi-provider execution, along with RAG architectures, MCP, prompt engineering, fine-tuning, weight updates, LLM orchestration, and high-performance cloud-native applications bridging intelligent systems.

Try asking me

Trusted in production.
Built to last.

  • Proven impact600K+ users on features I built, with 15 shipped products and systems.
  • Built where it mattersProPeers and Cloud Conduction, owning systems behind 80%+ of platform traffic.
  • Fundamentals that hold up5000+ Problems Solved Across 10+ Platforms, on a 1700+ days streak.
See every case study
A
ARXLive product
800+detailed user feedback
V
VersusLive product
12+leading LLMs simultaneously
VW
Voice with 24+ BrainsLive product
24+selectable models
A
AskDSALive product
3,000+LeetCode problems with full solutions
MM
Multi Model AI Orchestration & Comparison PlatformLive product
1000+active users
MC
Multi Cloud Full-Stack AI PlatformLive product
12,000+unique visitors
ML
Multi LLM AI Orchestration with 25+ Latest ModelsProPeers · AI system
1000+active users across all three phases
R
RoadmapAIProPeers · AI system
3xsurge in roadmap completion velocity
CM
CodeLLM Multi-Model Code JudgeProPeers · AI system
~99%code evaluation accuracy
A
AskAIProPeers · AI system
3xhigher user engagement through personalized
GA
Global AI SearchProPeers · AI system
100+roadmaps
AC
AI-Powered Code EditorProPeers · AI system
40%boost in engagement and retention
CC
Cloud Cost Optimization & Infra/DevOps AutomationProPeers · Engineering
10+VMs in both directions
AO
API OptimizationProPeers · Engineering
70%backend performance improvement
P
PayrollProPeers · Engineering
80%of manual finance effort

Features that power the work

What runs inside the products, shown the way it behaves.

GPT o1GPT 5.5GPT 5.4GPT 5.2GPT 5.1GPT o3-miniGPT 4.1 miniGemini 3.1 ProGemini 3Google Gemma 3Claude Opus 4.7Claude Opus 4.6
Multi-model orchestration28 frontier models behind one interface, picked per request with zero redeploys.

Retrieval pipeline

Intent rulesSemantic anchorsFull-corpus searchEntity-diverse re-rank
Grounded answersA 3-layer hybrid RAG pipeline keeps every answer tied to real data.
stream.js
Streams like a person typesBacklog-adaptive pacing sends 2, 4, 6 or 8 characters every 20 ms, so every model feels the same.
Voice in real time24+ selectable models, over one full-duplex socket.
Junior engineerFounding engineer
2020202420242025
From Tier 3 to founding engineerCracked 4 Remote Jobs as Fresher, then Founding Engineer & AI Architect at ProPeers.

How it all runs

The live request path and the full system design behind every product, straight from the architecture files.

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10K+ Subscribers

@princesinghcse

The community

1,00,000+

Engineers learning with Prince Singh

From YouTube to LinkedIn, a growing community learning DSA, AI Engineering and DevOps - from free sheets to 1:1 mentorship with a practising AI Architect.

Portfolio overview · 9 lines

See everything.Built and shipped.

Every product line in one place. Pick a line, preview the work, then open it in the lab.

AI Lab
Live

ARX

AI Architect You Can Talk To

800+detailed user feedback
3major product iterations
99%user satisfaction rate
  • Served as the flagship chat surface of a platform tested with 1000+ active users, processing 18,000+ AI queries from 12,000+ unique visitors and gathering 800+ detailed user feedback that dr…
  • Achieved ~99% RAG accuracy and 95% hallucination reduction through the 3-Layer Hybrid RAG pipeline over 10M+ ChromaDB embeddings - Layers 1 and 2 (13 regex intent rules + 12 pre-cached seman…
  • Sustained sub-300ms first-token latency across all 24+ models and 30+ streaming endpoints via dual-channel delivery - when a provider degrades, traffic reroutes between Azure AI Foundry and …
Next.js 15React 19TypeScript 5Tailwind CSS 4Framer Motion 12Zustand 5Server-Sent EventsReact Markdown + remark-gfm
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6,800+
people have explored this lab · live
Prince Singh
Prince Singh | Founding Engineer & AI Architect | Full-Stack Developer | 500K+ Users