- System Design: Low-level & high-level design, scalability, trade-offs, API design
- Agentic AI: Multi-step reasoning agents, tool-calling workflows, AI-driven automation
- Backend Engineering: REST APIs, authentication, RBAC, performance optimization
- Databases: Schema design, indexing, query optimization (MySQL, MongoDB)
- DevOps Basics: Dockerized services, CI/CD familiarity, GitHub Actions
I actively contribute to production-grade, large-scale codebases used by real organizations.
- Contributing to enterprise-level distributed systems
- Working on UI, backend, and reliability improvements
- Collaborating with global maintainers through structured PR reviews
- Improved error handling, logging, and system stability
- UI enhancements for better observability and user experience
- CI-validated PRs with clean commits and issue references
- Experience with Apache-style contribution workflows
📌 All contributions follow professional open-source standards:
- Issue-linked pull requests
- Clear commit history
- Screenshots, tests, and documentation where required
Goal: Long-term open-source impact through GSoC / GSSoC and beyond.
These projects reflect my focus on scalable architectures, real users, and production readiness.
AI-driven multilingual health assistant with modular backend architecture,
secure authentication, doctor discovery, and analytics dashboards.
Scalable EdTech platform with course management, payments,
real-time notifications, and secure role-based access control.
End-to-end workforce solution featuring employee analytics,
job matching, and resume parsing pipelines.
🔭 Designing scalable backend systems and distributed architectures
🧠 Building Agentic AI workflows for real-world automation
🧪 Deepening expertise in DSA, System Design, and performance tuning
🤝 Actively contributing to open-source organizations & industry projects
🎓 Preparing for GSoC / GSSoC / Product-based engineering roles
“I don’t just build projects — I contribute to systems that scale, evolve, and serve real users.”