Currently building a journaling service that leverages the use of (self-hosted) AI models to guide users through introspective conversations, helping them process emotions and thoughts effectively.

Built an event-driven TCP server using non-blocking I/O to support thousands of concurrent clients with zero threading overhead. Designed sorted sets with O(log n) rank queries and intrusive hash tables for memory efficiency. Explored distributed caching patterns and lock-free data structures to simulate production-grade performance.

Architected a content-addressable file system implementing delta compression for efficient data storage (60% space reduction). Developed commit indexing and branch tracking using Python’s I/O and hashing libraries.

Accomplished complex data modelling by implementing a normalised relational schema with constraint validation, which led to the elimination of data redundancy across 8 interconnected entities. Designed query optimisation by implementing indexing strategies and normalised table structures. Performed X+ Code Reviews in a O(10k) LOC code base.

Implemented a Linear Regression model for predicting house prices. Worked with Text Data exploiting techniques like BoW and Word Clustering. Played with Clustering to detect facial recognition algorithms.

Implemented the first version of SnakeCTF's website.