Prince Singh

July 2025 – Present · Delhi, India · Remote

• ▹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.
• ▹Architected a self-learning dynamic RAG pipeline: [JSON → Embedding → Chroma DB → Query Context Retrieval → Prompt Masking → Model → Nested JSON Output]
• ▹Dynamically decides whether to retrieve existing context or generate a roadmap from scratch, enabling zero-friction personalization for every user query.
• ▹Injects prompt templates based on match confidence and automatically re-embeds new data into the vector store — making the system truly adaptive and self-updating.
• ▹Integrated MCP (Modular Content Pipeline) to process and vectorize 100+ roadmaps, enabling semantic search and structured AI roadmap generation.
• ▹Engineered a Model Context Protocol (MCP) to standardize context injection for the model — combining retrieved chunks, user metadata, prompt masks, and query scaffolding — ensuring consistent and accurate outputs at sub-second latency.
• ▹Developed token-based access with one-time/monthly/yearly tiers, including real-time token usage tracking, speed controls, and upsell modals for premium upgrades.
• ▹Achieved <1s latency for AI responses at scale, improving retention and enabling smooth, conversational AskAI interactions.
• ▹Built an AI-powered DSA Code Editor supporting Run/Submit/Save, tightly integrated with Roadmap AI and backed by gpt-3.5-turbo, o3-mini, and o1 models for contextual code assistance.
• ▹Enhanced AskAI with contextual node + discussion integration, improving answer relevance and surfacing smarter suggestions.
• ▹Resulted in 3x higher roadmap completions, reduced user drop-offs, and transformed the platform into a self-evolving AI-first learning ecosystem.

July 2024 – July 2025 · 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.
• ▹Worked on complex APIs to reduce processing time and improved tab switching experience for smoother navigation
• ▹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.
• ▹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.

Jan 2024 – June 2024 · USA, · 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.