Iβm a Computer Science Honors Senior (Class of 2026) at the University of Mississippi. I specialize in building high-performance, AI-native systems that bridge the gap between low-latency backend architecture and sleek, accessible interfaces.
- π I'm currently working on: Advanced RAG (Retrieval-Augmented Generation) pipelines and Vector Embedding strategies to build context-aware AI applications.
- π± I'm currently learning: System Design and Distributed Systems to architect highly scalable, reliable, and fault-tolerant infrastructures.
- π― I'm looking to collaborate on: Open-source AI tooling, performance-critical backend systems, or anything that solves a real-world problem with clean code.
- π¬ Ask me about: Spring WebFlux for reactive streaming, National-Award winning Django development, or building accessible (WCAG) full-stack platforms.
- π« How to reach me: pathakishan333@gmail.com
- π My portfolio / website: theishanpathak.com
- β‘ Fun fact: I train my brain with code and my body on the soccer field and at the gym ποΈββοΈβ½
- FinAssist AI β Reactive AI Financial Tutor.
- Tech: Spring WebFlux, SSE, OpenAI API, Docker. * Achieved asynchronous, non-blocking delivery of real-time AI responses using Server-Sent Events.
- GPT-4o Mini Cost Monitor β Precision Token Analytics.
- Tech: Java 17, Spring Boot, REST APIs. * Built a tracking engine with precision to $0.000001 for AI cost optimization.
- VotoSecure β Secure Voting Platform.
- Tech: Django, PostgreSQL, JWT, WCAG 2.1 AA. * Supports 100+ concurrent elections with stateless session management and full accessibility.