I build AI that actually works
in production.
I'm Logesh — a CS student from Karur who got tired of AI demos that break the moment real users show up. So I started building backends with FastAPI, LangChain, and Redis that handle the messy parts — caching, fallbacks, auth, the stuff that keeps things running at 2 AM.
At a Glance
The short version
I'm a third-year CS student at VSB Engineering College in Karur. Right now I'm interning at Infosys Springboard where I built an AI Interview Coach that routes between different LLMs depending on the question — and caches responses in Redis so they don't cost a fortune.
What I care about most: figuring out why AI systems fail in production and building the boring-but-important stuff — retry logic, fallback chains, proper auth — that keeps them running when it matters.
B.Tech in Computer Science & Business Systems
VSB Engineering College, Karur
AI Engineering Intern
Infosys Springboard
Designing hybrid AI architecture routing between LLM APIs & LangChain agents. Multi-provider LLM support with Redis-based caching achieving 90%+ cache hit rate.
McKinsey Forward Program
McKinsey.org
AI: Concepts & Techniques
NPTEL
Generative AI in Action
IBM SkillsBuild
Software Engineering Simulation
Accenture
Software Engineering Intern
HackerRank
Skills & Technologies
Languages & Databases
Backend & API
AI & Machine Learning
DevOps & Tools
Professional Strengths
Featured Work
AI Interview Coach
Hybrid AI Platform — Infosys Springboard
- ▸Designed hybrid AI architecture routing between traditional LLM APIs and LangChain-based agents for deep reasoning tasks
- ▸Integrated multi-provider LLM support with fallback logic and Redis-based caching (90%+ cache hit rate)
- ▸Built scalable backend using FastAPI, PostgreSQL, and Celery for asynchronous processing
- ▸Implemented JWT authentication, rate limiting, and Docker-based deployment with CI/CD
AI Wellness Vision
Medical Image Analysis App
- ▸Developing CNN-based skin condition detection system with FastAPI backend
- ▸Integrated Gemini Vision API for explainable multimodal AI responses
- ▸Built Flutter mobile UI and Streamlit dashboard for interactive usage
Smart City Management System
Full Stack Web App
- ▸Developed a city services management platform using Spring Boot, Thymeleaf, and MySQL
- ▸Implemented authentication, service request tracking, and admin dashboards
- ▸Improved user engagement through structured UI and real-time service status tracking
Experience & Education
AI Engineering Intern
Infosys Springboard
Ongoing
- ▸Designed a hybrid AI architecture routing requests between traditional LLM APIs and LangChain-based agents for deep reasoning tasks
- ▸Integrated multi-provider LLM support with fallback logic and Redis-based caching (90%+ cache hit rate)
- ▸Built scalable backend using FastAPI, PostgreSQL, and Celery for asynchronous processing
- ▸Implemented JWT authentication, rate limiting, and Docker-based deployment with CI/CD
B.Tech in Computer Science & Business Systems
VSB Engineering College, Karur
In Progress
- ▸Engineering GPA: 8.34 / 10
- ▸Advanced coursework in Data Structures, Algorithms, Software Engineering, and AI
- ▸Active participant in tech communities and hackathons
Achievements
Projects Built
Certifications
GPA / 10
Internship
Let's Build Together
Got an idea, a project, or an internship opportunity? I'd love to hear from you.