Full Stack Software Developer with 8+ years in the IT industry, specializing in building, deploying, and operating production-grade software systems. I have a strong track record in building scalable system design and driving end-to-end delivery of complex features.
- π’ Currently working at Adobe Inc. as a Computer Scientist II
- ποΈ Passionate about System Design, Cloud-Native Architecture, and Performance Optimization
- π Big Fan of agile approaches and focus on evolutionary software architectures.
- π€ Early adopter of AI-assisted development for faster and high-quality outcomes
- π― Focused on building resilient, scalable, and maintainable systems
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Proven track record of architecting and implementing solutions using microservices. Experienced with Java, Spring Boot, MySQL, Redis & Docker. Focus on evolutionary software architectures. |
Expertise in building web applications from scratch using the microfrontend architecture pattern. Strong hold of Web Components and TypeScript. |
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Experience in C++ development, maintaining complex codebases, build tools, and runtime environments. Hands-on migration of legacy C++ codebase to WebAssembly. |
Curious learner of agentic AI systems. Hands-on with LangGraph, MCP servers on FastMCP, and trained models using PyTorch. |
| Achievement | Impact |
|---|---|
| ποΈ Cloud-Native AEM Forms Designer | Foundational contributor in architecting & building a cloud-native platform from scratch at Adobe |
| β‘ WebAssembly based PDF Creation Engine for AEM Forms | Single-handedly built WASM version of legacy C++ engine, reducing backend calls by 75% |
| π Runtime Modernization | Upgraded C++ PDF engine runtime to VS2019 (Windows) and modern gcc (Linux) |
- π Spot Award 2025 - Led multiple monthly releases of Cloud-based Forms Designer
- π Spot Award 2024 - End-to-end delivery of multiple features
- π₯ 2nd Place - Inter-org Hackathon - Demonstrated WebAssembly build of Legacy C++ PDF Creation Engine
- π€ Agentic AI & MCP Servers - Built an MCP server enhancing Agentic AI applications with long-term temporal memory, portable across ChatGPT, Cursor, VSCode
- π§ Deep Learning - Led awareness programs and organized sessions on Deep Learning
- π Machine Learning - Implemented SVM-based ensemble classification algorithm in WEKA
| Degree | Institution | Score |
|---|---|---|
| π Master in Computer Applications | Department of Computer Science, Delhi University | 83% |
| π B.Sc. (Hons.) Computer Science | Hansraj College, Delhi University | 89.2% |

