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Hey there! I'm Priyansh 👋

"I build production GenAI systems that survive real users — and I write down everything I learn along the way."

Senior Full-Stack & AI Engineer @ Couchbase | 4 production GenAI platforms serving 1M+ daily queries | GATE 2021 AIR 5571 | Open-source contributor

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Why this site exists

These are my open notes on AI engineering — written as I study, free for anyone to learn from. The best way to remember something is to write it for someone else. There's also an "Ask my notes" bot (bottom-right) that answers from these notes and cites its source.

💼 Experience​

🚀 Senior Full-Stack & AI Engineer — Couchbase​

Jan 2026 – Present · 1M+ daily queries · 99.9% uptime

  • 🤖 Built 4 end-to-end AI systems serving 1M+ daily queries.
  • 📊 PipelineIQ — AI sales forecasting, 2M+ predictions/month with multi-provider LLM fallback (Claude, GPT-4, Gemini).
  • 🔍 Sentinel-AI — RAG-powered ITSM helpdesk, 1M+ retrieval queries/month, 94% accuracy via Couchbase Vector Search.
  • 💬 NLQDashAI — text-to-SQL via MCP, 5M+ auto-generated SQL queries on Databricks.
  • 🌐 OrbiGraph — multi-tenant workforce SaaS, 500+ concurrent users.
  • ⚡ Impact: 40% error reduction, 60% latency improvement, 45% cost optimization.

☁️ Software Engineer — Oracle India​

Jul 2023 – Sep 2025 · 10M+ daily transactions

  • 🏗️ Built high-performance enterprise applications (ORCA, MMR) on Oracle Autonomous Database.
  • 📈 99.8% uptime across systems handling 10M+ daily transactions; 35% latency reduction.
  • 🔧 Tech: Java, Spring Boot, React, Oracle APEX, REST APIs, OCI, CI/CD.

💡 Full-Stack Web Developer — Startup Story Media​

May 2021 – Sep 2021 · 10,000+ active users

  • 🚀 Grew a SaaS platform to 10K+ active users with React, Node.js, Express.
  • 🔐 Built scalable REST APIs in an 8-engineer Agile team; JWT auth with sub-200ms latency.

🛠️ Tech Stack​

  • 🧠 AI / GenAI: Claude API, GPT-4, Gemini, RAG, Vector Search, MCP, LangChain, Prompt Engineering
  • 💻 Languages: Java, Python, JavaScript (ES6+), TypeScript, SQL, C++
  • 🎨 Frontend: React, TypeScript, HTML5, CSS3
  • ⚙️ Backend: Spring Boot, Node.js, Express, Django, REST, GraphQL
  • 🗄️ Databases: Couchbase, PostgreSQL, MongoDB, Databricks, Oracle DB
  • ☁️ Cloud & DevOps: AWS (Lambda, EC2, S3), Docker, Kubernetes, CI/CD, Git
  • 🧩 Core: Data Structures, Algorithms, System Design, Distributed Systems

🎓 Education​

  • 🎒 M.Tech, Computer Science — Netaji Subhas University of Technology, Delhi (2021–2023) · CGPA 8.1
  • 🎒 B.Tech, Computer Science — GGSIPU, Delhi (2017–2021) · CGPA 8.6

🏆 Achievements & Certifications​

  • 🏅 OCI Generative AI Professional certification (2025)
  • 📄 Published research in IJSER — "Covid-19 Trend Analysis using Machine Learning"
  • 🧩 350+ DSA problems solved across LeetCode, GFG, HackerRank
  • 📊 GATE 2021 — AIR 5571 (top ~5% of 200,000+ candidates)

🌱 Currently Learning​

🤖 AI Agents · 🔗 MCP (Model Context Protocol) · 🧬 Advanced RAG Patterns · 📐 Vector Database Internals · 🏗️ System Design for AI · ⚡ LLM Optimization & Eval

🔗 Find Me Everywhere​

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📊 GitHub Stats​

Priyansh's GitHub stats

Priyansh's GitHub streak

📚 What's in these notes?​

The first complete series is the Retrieval (RAG) course — 17 parts from first principles to production (chunking, hybrid search, reranking), each with summary points, code, and diagrams.

Everything else in the sidebar marked "soon" is my study roadmap toward becoming a complete AI engineer — I'm working through it and publishing each topic as I go.

👉 See my full work at priyanshsinghal.com — projects · experience · contact.