I'm Arnav Jamidarđź‘‹.
I engineer elegant solutions to complex problems.
I am a 3rd-year aspiring software engineer passionate about scalable applications and robust software systems.
My Projects
A selection of my recent work, spanning machine learning, scalable backend architectures, and modern web applications.
PrepIt: AI-Powered Job Interview Preparation Platform
An AI-powered platform designed to help you prepare for job interviews using voice AI agents, real-time feedback, and a modern user experience. Built with a cutting-edge tech stack, PrepIt makes interview practice seamless, personalized, and effective.
GreenLink Logistics: Intelligent Logistics & Route Optimization Platform
An enterprise-grade, full-stack logistics platform designed to solve the Vehicle Routing Problem (VRP) using a hybrid Java/Python architecture. It empowers businesses to optimize delivery routes, track drivers in real-time, and manage orders through a secure, modern dashboard.
CustomPetNet: Fine-Grained 37-Breed Pet Classification
A custom deep convolutional neural network (ResNet-9) built from scratch in PyTorch to classify 37 cat and dog breeds from the Oxford-IIIT Pet dataset. Engineered under strict computational constraints—no pre-trained weights and a 30-epoch training limit—leveraging residual connections, an input prep block, and OneCycleLR super-convergence.
PremStats - Premier League StatFinder
A Java-based Spring Boot application backed by PostgreSQL, designed to give football analysts, fans, and developers rich access to Premier League player and team statistics. The system ingests real-time-esque scraped data via a Python scraping pipeline, normalizes it into CSV, and persists it for fast, filterable querying
FitMetrix - All-in-One Fitness Tracker
A comprehensive fitness tracking application designed to help users manage and monitor their health journey. With secure authentication, personalized workout and diet plans, and visual progress tracking, FitMetrix offers a powerful, user-friendly solution to support fitness goals.
My Tech Stack.
The tools, languages, and frameworks I use to build scalable applications and solve complex problems.
Frontend Development
Backend & Systems
Machine Learning
Databases
Tools & DevOps
My Journey
How I went from writing my first print statement to building full-stack applications at the University of York.
The Spark
Wrote my very first lines of code. Discovered a deep passion for logical problem-solving and decided to dive deeper into computer science.
The Spark
Wrote my very first lines of code. Discovered a deep passion for logical problem-solving and decided to dive deeper into computer science.
FitMetrix
Built my first coding project - a python program with a GUI that acts as an all-in-one fitness tracker. Gained hands-on experience with Python, Tkinter, and database management.
University of York
Started my MEng Computer Science degree at the University of York. Excited to learn from world-class professors and collaborate with talented peers on innovative projects.
University of York
Started my MEng Computer Science degree at the University of York. Excited to learn from world-class professors and collaborate with talented peers on innovative projects.
PrepIt
Built PrepIt, a web application that helps students prepare for job interviews. Gained experience with Next.js, API integration, and Firebase while solving real-world problems.
PremStats
Built PremStats, a Java-based Spring Boot application that provides rich access to Premier League player and team statistics. Gained experience with PostgreSQL, Python scraping pipelines, and enterprise-grade backend systems.
PremStats
Built PremStats, a Java-based Spring Boot application that provides rich access to Premier League player and team statistics. Gained experience with PostgreSQL, Python scraping pipelines, and enterprise-grade backend systems.
GreenLink Logistics
Built GreenLink Logistics, a full-stack logistics platform that solves the Vehicle Routing Problem (VRP) using a hybrid Java/Python backend architecture with a Next.js frontend. Gained experience with real-time tracking, secure authentication, and scalable backend systems.
TutorFlow
Currently building TutorFlow, a web application that connects students with tutors for personalized learning. Efficiently manages tutor/student profiles, scheduling, assignment management, and secure invoicing. Applying my TypeScript, Next.js, and Supabase skills to create a seamless user experience.
TutorFlow
Currently building TutorFlow, a web application that connects students with tutors for personalized learning. Efficiently manages tutor/student profiles, scheduling, assignment management, and secure invoicing. Applying my TypeScript, Next.js, and Supabase skills to create a seamless user experience.
CustomPetNet (IMLO)
Engineered a custom ResNet-9 deep learning model from scratch in PyTorch for 37-breed pet classification on the Oxford-IIIT dataset for my Machine Learning and Optimisation module at York. Achieved high accuracy under a strict 30-epoch constraint without pre-trained weights.
Looking Ahead
Currently seeking Summer 2027 software engineering internships to apply my academic knowledge to scalable, real-world systems. Also actively learning foundations of machine learning and AI to stay at the forefront of technology.
Looking Ahead
Currently seeking Summer 2027 software engineering internships to apply my academic knowledge to scalable, real-world systems. Also actively learning foundations of machine learning and AI to stay at the forefront of technology.
Get in Touch.
I am currently looking for Software Engineering internships for Summer 2027. Whether you have an opportunity or just want to say hi, my inbox is always open!