Founding Engineer @ProPeers | AI Architect + Fullstack Developer | Ex-SDE @CloudConduction | Mentor @ProPeers & @Topmate.io | Agentic AI, GenAI, LLMs, RAG, MCP Systems | LangChain, ChromaDB | DevOps, AIOps | DSA, System Design | 66K+ @LinkedIn | 3.5⭐ LeetCode | Max(1876) Rating Knight (Top 5%) | Institute Rank 1 GFG | Global Rank 13 InterviewBit | Max(1854) Rating Specialist CodeStudio Level 9 | Building @PreparationStreet | Problem Solving Enthusiast | 1400+ DaysOfCode on @LeetCode | 6⭐ Problem Solving | Amateur @HackerEarth | 5000+ Problems Solved on DSA | DSA & DEV Mentor | HardCore DSA Lover | 75DaysHardPlacementChallenge

• 🔥 FullStack + AI Architectures - Why I Fit in Your Bucket
• 🧠 Hardcore DSA Enthusiast & Problem-Solving Addict 5000+ problems solved with 1400+ 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, Networking, Servers, System Design, Cost Optimization, and AI Architectures (RAG + MCP + LLM Ops).
• 🎓 Top-Rated Mentor - Mentored 40,000+ students and professionals over the last 1.5 years on DSA, Development, Career Growth & Remote Job Prep and Interview Preparation.
• 👁‍🗨 Open Source Contributor
• 👨‍🏫 Mentor on @Topmate and @Propeers
• 📚 Building Prepration Street

• 📞 Book Your 1:1 Guidacne DSA & Development & Placement & Career Guidance Topmate and ProPeers
• ⚡ For Fun Games, Rosting, Mems, HipHop

• 🌟 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.

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%.

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.

🚀 Excited to Share My Coding Journey and Accomplishments! 🚀

🚀 I'm thrilled to showcase my dedication and passion for problem-solving in the world of coding, over the past few years, I’ve solved 5000+ DSA problems across 10+ top coding platforms with an unbreakable 1400+ day streak of daily practice. This journey reflects my relentless focus on logic, consistency, and mastery of core CS fundamentals.

LeetCode and GeeksForGeeks 🏆

• Profile 1: 1300+ problems solved, 3.5⭐ with a max rating of 1660 and 50+ Badges 🥇.
• Annual Awards 2022 and 2023 on LeetCode and Include Top 0.4% of the LeetCoders 🌐.
• Profile 2: 800+ problems solved, 2⭐ with a max rating of 1876 and 10+Badges 🥇 with Knight 👑 Tag and Include in Top 5% Code in the World 🌎.
• Annual Award 2023 and Include Top 4.2% of the LeetCoders 🌐.
• GeeksForGeeks: 1300+ problems solved, Global Rank 100 and Monthly Rank 99 with the Score of 4000+, and Instutie Rank 1🔥.

CodeStudio & InterviewBit & HackerRank & HackerEarth 🏆

• CodeStudio: 2000+ problems solved with 100000+ Coding Score, including in the top 0.5% 🌟.
• InterviewBit: 560+ problems solved, Global Rank 13, and a 6⭐ in Problem Solving 🌐.
• HackerRank: 300+ problems solved, with a coding score of 119000+ 🚀.
• HackerEarth: 5⭐ in Python, 5⭐ in Java, and 5⭐ in Days of Code 🌈.

work@Tech 🏆

• work@Tech: 1510 score, 999 rank, and 40 problems solved, with the best global rank under 1K 🚀.

I'm proud of my continuous growth and learning in the coding world. I am looking forward to more challenges and achievements ahead! 💻🚀

Python	JavaScript	TypeScript	LangChain	OpenAI API	RAG	PyTorch	ChromaDB	Vector DB
Prompt Eng.	React	Next.js	Node.js	Express.js	FastAPI	Django	.NET	Prisma
Redux	React Query	Tailwind CSS	Bootstrap	HTML	CSS	SSR	Hybrid Rendering	Linux
Bash	C++	Java	MongoDB	MySQL	PostgreSQL	Redis	Firebase	ChromaDB
Vector Search	AIOps	System Design	API Optimization	Docker	Kubernetes	AWS	Azure	Jenkins
GitHub Actions	GitLab Actions	Terraform	Grafana	Prometheus	Git	GitHub	GitHub Copilot	VS Code
PyCharm	IntelliJ IDEA	Figma	Postman	Selenium	Scrapy