Dinesh R - Backend & AI Engineer

I believe every backend system should be built like infrastructure - reliable, observable, and ready to scale before it needs to.

About Me

HI, I'M
DINESH R

I'm a backend and AI engineer pursuing B.Tech in IT at Bannari Amman Institute of Technology. I specialize in building LLM-powered automation systems, real-time data pipelines, and high-performance REST APIs.

From winning a global merit scholarship awarded to only 4 engineers worldwide, to shipping AI systems for real police operations. I build things that work at scale and make an impact.

My Stack

backend

Java

Python

Spring Boot

frontend

React.js

Next.js

JavaScript

AI & ML

LangChain

PyTorch

FAISS

Pinecone

database

PostgreSQL

MongoDB

MySQL

cloud & DevOps

AWS

Docker

Git

Linux

My Experience

MiddleBank Consulting Group

Software Development Engineer Intern

Jun 2026 – Present · Auckland, New Zealand (Remote)

Architecting an end-to-end AI warehouse workflow orchestration system using LangChain, FastAPI, and Next.js to automate inventory tracking, purchase orders, and reporting across finance, supply chain, and retail verticals improving efficiency by 42%+
Developing and deploying AI-powered full-stack applications for cross-domain business operations, integrating LLM-driven decision engines with modern web interfaces to streamline workflows and accelerate decision-making across multiple group entities

TripFactory.com

Software Development Engineer Intern

Dec 2025 – May 2026 · Bengaluru, India (On-site)

Engineered an AI-powered workflow automation using Spring Boot and LangChain4j to process 200+ tour packages from Excel into the booking platform, cutting data entry time from 3 days to 10 minutes and eliminating 95% of manual effort
Developed and maintained Core Java (Spring Boot) backend services supporting high-volume internal workflows for travel package management, ensuring system reliability and data consistency across booking pipelines

Thoothukudi Police – Cybercrime Branch

Software Development Engineer Intern

Jun 2025 – Nov 2025 · Thoothukudi, India (Hybrid)

Built and live-deployed a predictive crowd density system using XGBoost and Scikit-learn on CCTV feeds and historical data across 5+ zones, cutting deployment costs by 40% and congestion by 60%
Engineered a smart parking allocation platform using Next.js and machine learning pipelines with real-time slot availability and vehicle arrival prediction, reducing manual coordination overhead by 45% across live event deployments

Crayon'D

Software Development Engineer Intern

Sep 2024 – Apr 2025 · Chennai, India (Remote)

Developed LLM-powered testing modules integrated into CI/CD pipelines, accelerating QA throughput by 22% and reducing human-in-the-loop review cycles
Built a semantic scenario retrieval engine with vector indexing over 200+ test cases, reducing edge-case bugs in production by 15%