Computer Science undergrad • OSS Contributor

I'm a Computer Science student who genuinely enjoys building systems from the scratch especially the data models, edge cases, failure handling, and performance trade-offs.

Backend is where I feel most at home designing APIs, structuring databases, and scalability.

Focused on backend systems, database design, and architecture.

I care about understanding why systems behave the way they do. Currently looking for Summer 2026 internships where I can learn from strong engineers, contribute meaningfully, and grow into a solid backend developer.

• Building microservices in Go to better understand distributed systems behavior
• Diving deep into Database internals & architecture
• Learning System Design (LLD + HLD)
• Contributing to open-source projects when I can

A multi-threaded HTTP/1.1 server built using raw sockets to understand how servers actually handle requests and connections.

Highlights

• Persistent connections with concurrent request handling
• Basic rate limiting and path traversal protection
• Prometheus metrics and structured logging for observability

This project was mainly an exploration of how networking, concurrency, and request lifecycles work under the hood.

A small TypeScript-based migration tool built to understand how schema changes are managed safely in real systems.

Highlights

• Transaction-based migrations with rollback support
• Dependency resolution using topological sorting
• Migration locking and checksum validation
• Support for multiple databases

A multi-tenant system designed to help universities manage and verify digital certificates.

Highlights

• OCR-based certificate data extraction
• Cryptographic signing using Ed25519
• Row-level security for tenant isolation
• REST APIs for issuance, verification, and revocation

This project helped me learn a lot about database design, security boundaries, and building larger backend systems.

A system built to experiment with semantic search and structured knowledge retrieval.

Highlights

• Vector embeddings for semantic search
• Multi-source information indexing
• Recommendation experiments using contextual signals

Built mainly to explore how retrieval systems and knowledge organization can work together.

📧 jainujjwal1609@gmail.com
💼 LinkedIn → Ujjwal Jain
🐙 @Ujjwaljain16