I’m a Computer Science student at Cal State Fullerton (Class of 2026) focused on building distributed backend systems and AI-powered applications.

I’m especially interested in:

• Distributed systems & microservice architectures
• Memory-augmented AI systems
• Benchmark-driven model evaluation
• Secure backend APIs
• Cloud-native deployment

I enjoy taking ideas from architecture → implementation → deployment, with an emphasis on reliability, scalability, and clean system design.

Node.js · Python · PostgreSQL · Redis · Docker · AWS · LLM APIs

Oggy is a multi-domain AI system composed of:

• API Gateway + 5 domain microservices
• Vector-based memory service for semantic retrieval
• Python-based learning orchestration service
• Benchmark-driven training loops (LLM-as-judge evaluation)
• Adaptive difficulty scaling and performance analytics
• Production deployment via Docker, AWS EC2, and Cloudflare Tunnel

Oggy is my largest systems project to date and represents my work on distributed architecture, AI orchestration, and production deployment.

Java · Python · C++ · SQL

Spring Boot · FastAPI · Node.js · REST APIs · JWT · Microservices

PostgreSQL · Redis · SQLite

Docker · AWS · Azure · Git · CI/CD

OpenAI · Anthropic · Gemini · LLM evaluation pipelines · Vector retrieval

Spring Boot · React · PostgreSQL · Docker

A secure web application for tracking glucose levels, meals, and medications.

• Built a JWT-secured REST API for user-level data isolation
• Designed normalized relational schemas
• Containerized backend services for consistent deployment

Spring Boot · React · Gemini API

A Gmail extension that generates context-aware email replies using structured prompt pipelines.

• Integrated full-stack workflow directly into Gmail UI
• Built backend service to process email threads and construct AI prompts

• LinkedIn: https://linkedin.com/in/avyaktr
• GitHub: https://github.com/avyaktrout
• Email: avyakt.rout@outlook.com

I’m currently seeking junior backend or full-stack software engineering roles where I can contribute to real production systems and continue building scalable, intelligent software.