Prince Singh

@PrinceSinghhub ·Indore M.P ·www.princesinghai.com

Founding Engineer & AI Architect @propeers-in | 600K+ Users | Founder @preparationstreet | Architecting Multi-Model LLM Orchestration

222 repos
1.2k followers
2 following

Python 69%
HTML 9%
Java 6%
CSS 4%
C 4%

496 contributions in the last year

2-day current streak·6-day longest streak

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Hi I'm Prince Singh Founding Engineer & AI Architect · Building AI Systems at Scale 4x Remote Engineer · Cracked National & International Remote Jobs as a Fresher Founding Engineer…

Hi I'm Prince Singh

Founding Engineer & AI Architect · Building AI Systems at Scale

4x Remote Engineer · Cracked National & International Remote Jobs as a Fresher

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About Me

🏗️ Founding Engineer & AI Architect - Why I Fit in Your Bucket
🚀 Architecting Agentic AI · RAG Pipelines · MCP · Multi-Model LLM Orchestration at scale for 600K+ Users across AWS & Azure
🧠 Hardcore DSA Enthusiast & Problem-Solving Addict - 5000+ problems solved with 1500+ Days of Consistent Code across all major platforms, Passionate About Crafting Efficient Code
👨‍💻 Tech Explorer - Love to learn new technologies and explore new sets of areas
✋ Hand-Holding Expertise: MERN · DevOps · AIOps · Networking · Servers · System Design · Cost Optimization · AI Architectures (RAG + MCP + LLM Ops + Agentic AI)
🎓 Top-Rated Mentor - Mentored 40,000+ students and professionals over the last 1.5 years on DSA, Development, Career Growth, Remote Job Prep & Interview Preparation
👁‍🗨 Open Source Contributor
👨‍🏫 Mentor on @Topmate and @ProPeers
📚 Building Multi Model AI Orchestration Platform, PrinceSinghAI, PrinceSinghDev, Preparation Street

<!--- 📔 Live MyResume

🔥 My DSA and Development Skills --->
📞 Book Your 1:1 Guidance DSA & Development & Placement & Career Guidance - Topmate and ProPeers
⚡ For Fun Games, Roasting, Memes, HipHop

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🎥 Recent Videos on YouTube

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👨‍🏫 Professional Experience (From Jan 2024 - Present)

ProPeers

Founding Engineer (July 2025 – Present)

🌟 Led the launch of Roadmap AI, a fully personalized learning assistant powered by RAG (Retrieval-Augmented Generation), OpenAI’s text-embedding-ada-002, Chroma Vector DB, and Modal for real-time, scalable inference — achieving <1s latency and serving 10K+ daily queries.

* Architected a self-learning adaptive RAG pipeline: [JSON → Embedding → Chroma DB → Query Context Retrieval → Prompt Masking → Model → Nested JSON Output]

* Built zero-context fallback logic, dynamically deciding when to retrieve context or generate from scratch for complete personalization.
* Injected prompt templates based on match confidence, with automatic re-embedding of new data — making the system truly self-evolving.

🧠 Integrated and deployed the Model Context Protocol (MCP) — a dynamic orchestration engine for multi-model routing, confidence-based context injection, and structured prompt masking across models (gpt-3.5, o3-mini, o1).

🧩 Extended the Modular Content Pipeline (MCP) to process and vectorize 100+ Roadmaps, powering semantic retrieval and structured AI roadmap generation.

⚙️ Built an AI-powered DSA Code Editor supporting Run/Submit/Save with contextual LLM assistance, integrated across gpt-3.5, o3-mini, and o1 — delivering real-time code insights and learning support.

🧮 Designed token-based access control with tiered latency modes, real-time usage metering, and premium upsell logic — optimizing engagement and monetization.

⚡ Achieved sub-second inference performance across all tiers with caching, async processing, and parallel embeddings, boosting user retention and responsiveness.

🔍 Enhanced AskAI with contextual node + discussion integration, improving query relevance and contextual assistance accuracy by 40%.

📈 Drove 3x increase in roadmap completions, reduced churn, and transitioned the platform into a self-adaptive AI-first learning ecosystem with real-time LLM intelligence.

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July 2024 – July 2025
SDE - 1 · Delhi, India · Remote

🚀 Built and scaled the flagship "Roadmaps" feature, delivering 100+ curated learning paths across DSA, Development, and System Design — used by 100K+ users. Improved personalization and relevance, while reducing API response time from 2.1s to < 300ms, resulting in a 7x faster experience and 40% higher user engagement.

🤖 Developed and integrated the "AskAI + Discussion Forum", an intelligent peer-programming assistant where users can interact with AI to solve DSA/Dev doubts and collaborate with others — enabling on-demand doubt resolution and community learning.

Worked on complex APIs to reduce processing time and improved tab switching experience for smoother navigation

📹 Engineered a Session Recording Bot using Python, Selenium, and headless Azure VMs with deep link automation — automating session joining and recording, cutting down 100% of manual effort and improving reliability.

⚙️ Optimized 150+ APIs by implementing advanced caching layers, async processing, and API pipelines, reducing backend latency by up to 70% and improving system throughput.

🎯 Reduced core web vitals TBT, LCP, and FCP from 4.4s to 990ms through advanced frontend optimizations (SSR, dynamic imports, lazy-loading APIs), significantly boosting UX for 15K+ monthly active users.

🧠 Led the end-to-end performance overhaul of the platform, focusing on smoother tab-switching experiences, minimal downtime, and blazing-fast navigation across the app.

🗃️ Migrated MongoDB from Atlas to self-hosted replica sets, wrote automated backup & recovery scripts, set up VMs, and integrated cron-based backups to Azure Blob, ensuring data durability and cost-efficiency.

📊 Set up real-time monitoring and alerting with Prometheus and Grafana, ensuring system health, proactive issue resolution, and enhanced DevOps visibility.

🚢 Deployed scalable CI/CD pipelines using Azure, GitLab, and Vercel, ensuring zero-downtime deployments and faster iteration cycles across teams.

🔧 Handled end-to-end production deployment and scaling for a system serving 15K+ users, maintaining high availability, fault tolerance, and robust performance at scale.

💡 Worked with cross-functional teams to integrate AI personalization, improving engagement metrics and completion rates by 40%.

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Cloud Conduction

Jan 2024 – June 2024 Junior Software Engineer · Oak Park, Michigan, United States · Remote

💬 Built an AI-powered chat application from the ground up using React and .NET, improving frontend efficiency by 60% and backend performance by 30%, delivering a highly responsive user experience.

⚡ Integrated and optimized AI model responses, reducing latency from 1.86s to 1.2s (35% faster) through strategic API design, caching, and performance tuning.

☁️ Designed scalable cloud architecture on Microsoft Azure for AI workloads, improving system throughput by 10% while significantly reducing infrastructure costs via autoscaling and resource optimization.

🎨 Developed modern, responsive UI components in React that improved user engagement metrics by 25%, including better retention and interaction rates.

🔐 Implemented secure, scalable API gateways in .NET Core, capable of handling 500+ concurrent requests with 99.9% uptime, supporting production-level reliability.

🚀 Led the implementation of new features using the MERN stack, cutting down development time by 40%, and accelerating product iteration cycles.

🛠️ Established CI/CD pipelines (Azure DevOps & GitHub Actions), reducing deployment failures by 75% and enabling faster, automated releases.

🧹 Conducted in-depth code reviews and optimization, reducing technical debt by 30%, standardizing best practices across teams, and improving maintainability.

🔄 Owned and managed the complete project lifecycle, from initial system design and dev planning to production deployment, server setup, and post-launch support.

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