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Arya Maddel

Machine Learning Engineer & Researcher

B.Tech Computer Science student at DES Pune University, exploring machine learning, automation, and computational systems, with interests spanning mathematical and physical theory to practical software and hardware implementations. IEEE-published researcher with hands-on industry experience.

Arya Maddel

Research Interests

Experience

Machine Learning Intern

In2Peta Services Private Limited · Feb 2026 – Present

Working on applied Machine Learning and MLOps pipelines. Developing and deploying scalable ML solutions in a virtual environment — gaining hands-on experience across the full model lifecycle.

Project Lead

Aerial Mappers & Surveyors LLP · Jan – Mar 2024

Led development of an autonomous drone system with variable payload capabilities using the Pixhawk flight controller. Integrated computer vision for navigation and payload management across versatile field tasks.

Project Lead & Full Stack Developer

Sujalam Chemicals · May – Aug 2023

Architected and deployed a cross-platform inventory management system for Android and iOS. Built the complete tech stack with React Native, Express, SQLite, and real-time synchronization capabilities.

Projects

DIQA

Python Package

A lightweight, production-ready Python library for No-Reference Image Quality Assessment (NR-IQA).

OpenAnim

Python · CLI

CLI that generates Manim animation code from natural-language prompts via OpenRouter, then renders it immediately.

Alexa PC Control

IoT · Embedded

Smart home integration using ESP32 for remote PC control with Alexa voice commands. Explores edge computing and IoT protocols.

Sujalam Chemicals

Full Stack

Cross-platform mobile app with real-time inventory tracking and automated alerts. Built with React Native and Express.

Research & Publications

As an undergraduate researcher, I focus on building computationally efficient ML systems. My current work explores model selection, ensemble routing, and sensor-integrated learning.

Adaptive Hybrid Architecture for NRIQA

Maddel, A., Patil, R., Bhavsar, T., Gajbahar, A., Jaiswal, S., Joshi, P.
IEEE · ETFI 2026 · Pune, India · 12–14 February 2026

Proposes a dynamic routing pipeline for No-Reference Image Quality Assessment that avoids full-ensemble execution. A lightweight gradient-boosted classifier selects the optimal IQA model from a diverse pool of traditional (BRISQUE, NIQE) and deep-learning (MANIQA, HyperIQA) algorithms based on low-cost perceptual features — achieving performance competitive with the best individual model at a fraction of the computational cost.

DOI: 10.1109/ETFI68128.2026.11484766  ·  ORCID: 0009-0009-2696-2519

Cite (BibTeX)
@INPROCEEDINGS{11484766,
  author={Maddel, Arya and Patil, Ratnajeet and Bhavsar, Tiya
          and Gajbahar, Anisha and Jaiswal, Swati and Joshi, Prachi},
  booktitle={2026 International Conference on Emerging Technologies
             and Future Innovations (ETFI)},
  title={Adaptive Hybrid Architecture for NRIQA},
  year={2026},
  pages={1-7},
  doi={10.1109/ETFI68128.2026.11484766},
  month={Feb},
}

Education

B.Tech in Computer Science and Engineering

DES Pune University · 2024 – Present · CGPA 8.7

Diploma in Computer Science and Engineering

Sou. Venutai Chavan Polytechnic · 2021 – 2024 · 86%

High School (SSC)

Hutchings High School · 2021 · 92%

Awards & Recognition

1st Place · AI For Humanity (A4H)

Resonance 2026 · DES Pune University & IEEE Pune Section · March 2026

Awarded first place in the "AI For Humanity" competition organized by DES Pune University in collaboration with IEEE Pune Section and its Computer Society, I&M Society, and Student Branch chapters.

1st Prize · Alumni NIRMITEE

Project Competition 2024 · Sinhagad Technical Education Society · SVCP Pune

Secured the first prize in the Inter Department Project Competition (NIRMITEE) at Sou. Venutai Chavan Polytechnic, Sinhagad Institutes.

Technical Skills

Machine Learning

  • Deep Learning
  • Computer Vision
  • NLP
  • Model Optimization

Programming

  • Python
  • C / C++
  • JavaScript
  • SQL

Frameworks & Tools

  • PyTorch / TensorFlow
  • Flask / Express
  • React Native
  • Git

Hardware & Systems

  • Embedded Systems
  • ESP32 / Arduino
  • Pixhawk
  • IoT Protocols