- 🔭 Currently building full-stack, agentic-coding-driven applications using the MERN stack and modern AI development tools.
- 🌱 Actively contributing to open source through GSSoC 2026 — auditing codebases, filing structured issues, and shipping fixes.
- 🎓 Representing Google as a Student Ambassador 2026 for Chameli Devi Group of Institutions, driving Gemini AI adoption and hosting technical campus workshops.
- 💡 Focused on production-grade system design: zero-placeholder, agentic build pipelines for real-world scalable applications.
- ⚡ Fun fact: Blends AI-assisted "vibe coding" workflows with rigorous engineering discipline (and always keeping an eye on the latest IPL match 🏏).
- 📫 Open to collaboration on fullstack, MERN, and AI tooling projects. Let's build something amazing!
🧠 How I Work: I build using an agentic-first workflow — pairing detailed, zero-placeholder build specifications with AI coding agents (Claude, Antigravity, Gemini) to ship production-grade full-stack systems faster without sacrificing code quality, test coverage, or system design rigor.
- Advanced system design & distributed systems patterns
- AI agent orchestration (LangChain / multi-agent workflows)
- Cloud-native deployment (AWS certification track)
- Performance optimization at scale (React Server Components, edge caching)
Differentiating Focus: Fluency in the modern AI-assisted engineering stack to dramatically accelerate production pipelines.
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"I treat AI agents as senior pair programmers — my job is to write the spec precisely enough that the agent ships correct, production-ready code on the first pass."
- Master Prompt / Spec Engineering — writing zero-placeholder, production-grade build specifications that agentic tools can execute end-to-end.
- Context Engineering — structuring codebase context, file trees, and constraints so AI agents generate accurate, non-duplicated code.
- Agent Orchestration — sequencing multi-step workflows (plan → scaffold → implement → test → refine) across tools like Antigravity and Claude Code.
- AI Output Review & Hardening — auditing AI-generated code for security, edge cases, and architectural fit before merge.
- Rapid Prototyping — 0-to-MVP app generation using Bolt.new/Lovable/v0 for hackathons and idea validation.
- Prompt-to-Production Pipeline Design — converting rough ideas into structured, agent-executable specs.
- Multi-Agent Tool Fluency — comfortably switching between Claude, Gemini, Antigravity, and Copilot depending on task type.
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| Project | Tech Stack | Description | Link |
|---|---|---|---|
| HCHO | Deep Learning, Satellite Data | AI-powered air quality monitoring platform that derives Surface AQI from satellite observations and detects Formaldehyde hotspots. | View Code |
| MeghMukt | React, Node.js, API | A cloud-native application focused on meteorological data visualization and weather pattern analysis. | View Code |
| Library Management System | MERN Stack | A comprehensive digital library management system with inventory tracking, user authentication, and automated book issuing. | View Code |
| ThreadCounty | Next.js, Tailwind CSS | Official hackathon submission for ThreadCounty Web Development Hackathon 2026 featuring a modern, responsive interface. | View Code |
Proud to be an active contributor to GirlScript Summer of Code 2026 and representing Google on campus, building a better developer ecosystem through code audits, structured issue resolution, and AI workshops.
- Publishing insights on Agentic Development, System Design, and MERN engineering soon...
⭐️ From Daksh Agrawal — Building at the intersection of Fullstack Engineering and AI. ⭐️
