Final year IT student at NIT Jalandhar building AI-powered backends, real-time systems, and cloud infrastructure that ships to real users. I've built SaaS platforms serving 100+ users, a collaborative IDE with sub-50ms sync latency, and self-healing cloud infra with automated recovery — not side projects, live products.
| Role | Organization | Impact & Stack | |
|---|---|---|---|
| 🟣 |
Salesforce Intern Jun 2026 – Present |
Conscendo Technologies (Salesforce Summit Partner Company) Hyderabad, India |
• Built CRM workflows using Apex & Lightning • Automated processes via Flows & Triggers • Worked on enterprise-scale cloud systems |
| 🔵 |
Summer Intern (Trainee) Jun – Jul 2025 |
Engineers India Limited (EIL) New Delhi, India |
• Developed MERN scholarship platform (500+ users) • Implemented JWT Auth & REST APIs • Achieved 70%+ test coverage (Jest) |
| 💡 Area | ⚡ Summary |
|---|---|
| 🚀 Products | Built & deployed AI + full-stack systems (100–500+ users) |
| ⚡ Performance | Real-time architectures, async pipelines (<50ms latency) |
| 🧠 AI/ML | RAG, LLM APIs, FastAPI, automation systems |
| ☁️ Cloud | 12+ GCP Skill Badges (GenAI, Cloud Run, Vision APIs) |
| 🛠 DevOps | AWS, Docker, CI/CD, monitoring |
| ✅ Quality | Testing pipelines, reduced production bugs |
| 📦 Delivery | End-to-end: idea → deployment → users |
| 📜 Certs | GCP, ML, CI/CD, Docker, Cybersecurity |
| 💻 DSA | 150+ problems + OS, DBMS, CN fundamentals |
- System Design: Modular architectures, event-driven workflows, and scalable service design
- API Engineering: Clean REST APIs, authentication flows, structured error handling, and efficient request lifecycle management
- Data Systems: Schema design, query optimization, and handling real-time + persistent data across SQL and NoSQL databases
- Async Processing: Background jobs, queue-based pipelines, and non-blocking workflows for improved throughput
- Security Practices: Authentication, input validation, and vulnerability-aware backend development
- Testing & Debugging: Unit/integration testing (Jest), structured logging, and debugging of distributed systems
- Dev Workflow: Git-based collaboration, CI/CD pipelines, containerized environments, and Agile development
- Adaptability: Rapidly learning and applying new domains (AI, cloud, distributed systems) in real-world projects
| Languages |
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| AI & Systems |
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| Backend & Infrastructure |
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| Cloud & DevOps |
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| Frontend |
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Real-time collaborative IDE — <50ms sync latency for 20+ simultaneous users via WebSockets & Socket.IO. Integrated Judge0 API for multi-language in-browser execution. 85% Jest coverage on all core event handlers.
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AI SaaS video platform — Gemini API script generation, Redis async queues (40% faster rendering), AWS S3 media storage. 100+ active users at <3s end-to-end latency.
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High-performance peer-to-peer file transfer system — custom TCP chunked protocol (~88 MB/s throughput), UDP broadcast-based peer discovery, fault-tolerant resume via chunk tracking, and SHA-256 end-to-end integrity verification.
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Production-grade infra that automatically recovers from crashes using Docker restart policies, Prometheus metrics, and Grafana dashboards. Failure scenarios simulated and validated through live system analysis.
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Building high-performance distributed systems and network applications in C++, focusing on TCP/UDP socket programming, custom protocol design, and fault-tolerant data transfer. Currently developing decentralized file transfer systems with chunked streaming, resume mechanisms, and SHA-256 integrity verification, while optimizing for throughput and reliability over LAN environments.
