Building scalable backend systems, automating infrastructure, and exploring intelligent AI-powered applications.
I'm a Computer Science Engineering student passionate about building software that solves real-world engineering problems.
My primary interests lie at the intersection of Backend Engineering, Cloud Infrastructure, DevOps, and Artificial Intelligence.
- 🔭 Building backend applications, APIs, and AI-powered systems.
- ⚙️ Exploring scalable architectures, distributed systems, and infrastructure automation.
- ☁️ Working with containerization, orchestration, cloud platforms, and CI/CD pipelines.
- 🤖 Exploring LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI.
- 🧩 Solved 300+ problems on LeetCode, strengthening my problem-solving and algorithmic thinking.
- 🎯 Actively seeking opportunities in Backend Engineering, Software Engineering, DevOps, and AI Engineering.
My engineering philosophy: Build it, understand how it works, make it reliable, and scale it.
A selection of projects focused on backend engineering, infrastructure, and applied AI.
An AI-powered application exploring practical LLM integrations and intelligent document-processing workflows.
Key areas:
- AI-powered PDF summarization.
- LLM API integration.
- AI-driven content analysis and insights.
Tech Stack: JavaScript, Node.js, React, Gemini API, MongoDB.
A containerized sandbox environment for dynamically creating and previewing isolated application environments.
Key areas:
- Dynamic Kubernetes pod and service provisioning.
- Containerized frontend and backend workloads.
- Express-based proxy and preview routing.
- Kubernetes-based application orchestration.
Tech Stack: Node.js, Express.js, React, Docker, Kubernetes.
An engineering project focused on improving accounts receivable visibility and payment recovery workflows for businesses.
Key areas:
- Receivables and invoice tracking.
- Payment follow-up workflows.
- Intelligent prioritization of overdue payments.
- Backend APIs and financial workflow automation.
Tech Stack: Node.js, TypeScript, PostgreSQL, Redis, Docker.
I believe strong engineering requires more than knowing frameworks. Understanding data structures, algorithms, and problem-solving fundamentals is equally important.
- Practicing Data Structures and Algorithms.
- Strengthening algorithmic thinking and coding efficiency.
- Focused on developing strong problem-solving fundamentals.
🔗 LeetCode: Visit My Profile
I'm continuously expanding my knowledge in areas that help me build more reliable and scalable systems.
| Domain | Areas of Exploration |
|---|---|
| Backend Engineering | Advanced API design, system design, scalability |
| Distributed Systems | Concurrency, caching, message queues, fault tolerance |
| DevOps & Cloud | Kubernetes, AWS, Terraform, CI/CD |
| AI Engineering | Agentic AI, RAG, LLM applications, AI agents |
| Software Engineering | Clean architecture, performance, reliability |
I'm always interested in connecting with engineers, developers, and people building interesting products and solving challenging problems.
Keep building. Keep contributing. Keep growing.
"Great software isn't just written. It's engineered."
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