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I'm Dev Patra, an Integrated (B.Tech + M.Tech) Chemical Engineering student from ICT Mumbai who loves solving problems using Tech.

What I bring to the table is a blend of chemical engineering knowledge, coding skills, and research experience to design, data-driven solutions. I apply these strengths to tackle real-world challenges using Machine Learning, Artificial Neural Networks, and nature-inspired algorithms.

My foundation in Thermodynamic Modeling, Simulation, and Optimization supports my approach to solving complex engineering problems with computational precision.

</AboutMe>

First Deployed Application: I developed and deployed my first interactive application on Heat Exchanger Design (Kern’s Method).
You can try it out here 👉
Heat Exchanger Design App
.


Beyond Academics: I'm a State-level Table Tennis player and enjoy Chess — both help sharpen my focus and strategic thinking.


Web Design Head & Treasurer – AAKRITI 1.0: Led the Web team to build an interactive platform, while managing Event finances & execution.


Editor – MARJAL (ICT Mumbai, MARJ Campus): Edited and curated content for MARJAL, the institute’s biannual magazine, overseeing a team of writers for two years.

Dev Patra

</Skills>

Tech Stack

  • Python
  • GITHUB
  • GIT
  • C
  • C++
  • FIGMA
  • HTML
  • CSS
  • JS

</Research Papers, Conferences & IPs>

5. NAMoSTe – Novel Atomic & Molecular Structure Explorer
(Intellectual Property Secured; Registered with the Copyright Office, Government of India – Extracts from the Official Register of Copyrights)

NAMoSTe is a next-generation software designed for the intuitive creation and visualization of complex long-chain polymers in 1D, 2D, and 3D. While helping advanced molecular modeling capabilities, it empowers researchers to precisely construct and analyze polymer architectures, making it an essential tool for innovation in computational chemistry and materials science.

4. International Conference on Machine Learning & Data Science (ICMLDE Conference 2025, Dehradun, India):
Predictive Modelling of Heavy Metal Water Pollutant Removal Using Biochar: A Comparative Study of Neural Networks and Machine Learning Techniques.
Conference Certificate

3. Book Chapter (2025):
Deep eutectic solvents in the dissolution of lanthanides and actinides and recovery of value-added materials from electronic waste [Elsevier].
View Book Chapter

2. Industrial & Engineering Chemistry Research (2024):
Systematic Exploration of COSMO-SAC-PDH and EXT-UNIQUAC-PDH* Models for Rare-Earth Element Leaching in Deep Eutectic Solvents [Industrial & Engineering Chemistry, ACS].
View Online

1. Solvent Extraction and Ion Exchange (2023):
Generalized Pitzer-Debye-Hückel (PDH) framework for the deep eutectic solvent assisted extraction of europium (III), americium (III), and uranium (VI) [Solvent Extraction and Ion Exchange, Taylor and Francis].
View Online

</Experience>

RPDS Innovations Pvt Ltd.

- Achieved 40% faster process stabilization in industrial polymerization reactor using NN-MPC (Neural Network Model Predictive Control), MPC, in comparison to PID.

- Optimized PID, reducing setpoint settling by 70%.

- Built Web Application using Streamlit (Python) for automating the workflows.

- Identified 20 TEP faults (fault detection with advanced analytics) using AI & ML.

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DEFENCE INSTITUTE OF ADVANCED TECHNOLOGY (DRDO), PUNE

- Presented a paper in International conference on Machine Learning and Data Engineering (ICMLDE 3.0).

- Intern at Sustainable Transformation Management Research group under Dr. Amrita Nighojkar

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BOMBAY TECHNOLOGIST

- Published Two research papers on Thermodynamic modelling and a Book chapter:

- Intern at Moltherm Research group under Dr. Debashis Kundu

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