| What I Shipped | Why It Mattered | |
|---|---|---|
| 🧩 | Blade Design System | React + TS components powering every Razorpay product — token-based, a11y-first, Storybook documented |
| 🏎️ | Bundle Size Optimization | Significant JS payload reduction — faster payment flows for millions of users |
| 🏗️ | Microfrontend Architecture | Module federation enabling independent team deployments — zero merge conflicts |
| 📊 | Data Sync Dashboards | Real-time monitoring dashboards adopted across multiple engineering teams |
| 🔬 | A/B Testing & API Hygiene | Eliminated redundant API calls — reduced server load, improved UX at scale |
| 🗓️ Period | 🏢 Role | ⚡ Key Impact | 🛠️ Stack |
|---|---|---|---|
| Jul 2025 – Present | Frontend Engineer @ Razorpay | Microfrontend architecture · Bundle optimization · Data sync dashboards · A/B testing infra | React · TypeScript · Node.js · Docker · K8s |
| Jul 2024 – Jul 2025 | Frontend Intern @ Razorpay | Blade design system contributions · Component library development · Production deployments | React · TypeScript · Storybook |
| 2024 | 🎯 Amazon ML Summer School | Selected nationally — ML foundations, deep learning, applied AI | Python · ML · Deep Learning |
| 2021 – 2025 | B.E. Computer Science Chitkara University | Strong CGPA · Hackathon wins · 1000+ DSA problems · Competitive programming | C++ · Python · DSA · CP |
| I don't just build features — I think in systems. At Razorpay, I designed microfrontend architecture that lets multiple teams ship independently without stepping on each other. I approach every problem asking: how does this scale? | Bundle size, render performance, API efficiency — I measure everything. Delivered meaningful JS bundle reduction in production. Built A/B experiments that caught and eliminated redundant API calls at scale. |
| Contributed to Blade — Razorpay's React + TypeScript design system used across every product. I know what it means to build components that are token-based, accessible, and trusted by dozens of teams. | I ship with metrics, not intuition. Built A/B testing infrastructure and data sync dashboards so engineering decisions are backed by real numbers — not guesswork. |
| 1000+ DSA problems solved. Amazon ML Summer School 2024 selectee. Multiple national hackathon wins. I bring sharp algorithmic thinking to every technical challenge. | Actively learning Go, AI Engineering (LLMs, RAG, MCP, Agents), and contributing to open source. I don't wait to be upskilled — I do it proactively and ship proof. |
![]() Go & Systems Building CLI tools | ![]() AI Engineering LLMs · RAG · MCP · Agents | ![]() System Design Scalable Architecture | ![]() Open Source High-signal PRs |
🏢 Frontend Engineer @ Razorpay · 🎯 Amazon ML Summer School 2024 · 💻 1000+ DSA Problems
🏆 Multiple National Hackathon Top Finishes · 🧩 Design System Contributor · ⚡ Performance Engineering at Scale













