Hi, my name is
Mohammad Javad Raei
Scientific Software Developer
I build tools at the intersection of chemical engineering, materials science, and agentic AI to accelerate scientific discovery.
About Me
I'm a scientific software developer with a Master's in Chemical Engineering and hands-on experience in materials synthesis and laboratory research. I build intelligent tools that bridge materials science and agentic AI to accelerate scientific discovery and analysis.
Professionally, I develop engineering software in the oil and gas industry. Outside of work, I build AI-powered tools for materials characterization and scientific analysis, work that has earned me four prizes across two hackathons.
When I'm not coding or experimenting, you'll find me behind the camera, I'm passionate about photography and video editing.

Experience
Software Developer
Opla EnergyDec 2024 – Present · Alberta, Canada
- • Develop and maintain full-stack desktop applications using Python and QML for scientific calculations and real-time data processing
- • Build interactive data visualization dashboards and automation modules that generate dynamic reports, reducing manual effort and improving data consistency
- • Refactor legacy codebases and implement performance optimizations to improve application speed, scalability, and maintainability
- • Architect REST APIs and cloud-based services on AWS (EC2, S3, Lambda) for software distribution and version management
- • Create modular, cross-platform application architectures with a focus on maintainability, performance, and user experience
- • Write comprehensive test suites with pytest to ensure code reliability and maintain high software quality standards
Air Emissions Advisor
Process EcologySep 2023 – Dec 2024 · Alberta, Canada
- • Developed and deployed machine learning models for production forecasting and carbon credit estimation using clustering (Autoencoders, K-Means) and regression techniques (SARIMA, XGBoost).
- • Contributed to back-end development of emission quantification software using C# with object-oriented design principles to optimize performance and scalability.
- • Built and automated data pipelines for data migration and cleaning between software versions using Python, NumPy, and Pandas.
- • Led a team of software developers, managing daily standups, task assignments, and delivery timelines.
- • Automated repetitive workflows using Selenium and Python, improving operational efficiency and data accuracy.
Research Assistant
University of CalgarySep 2021 – Sep 2023 · Alberta, Canada
- • Designed and synthesized novel graphene/metal oxide aerogels for carbon capture and electrochemical energy storage, resulting in a US patent filing and two journal paper submissions.
- • Applied statistical and machine learning techniques (PCA, Gradient Descent) to optimize synthesis parameters, improving energy efficiency and material performance.
- • Preprocessed and analyzed experimental datasets, handling outliers, missing data, and experimental errors to ensure reliable and reproducible results.
- • Characterized materials using a wide range of techniques including XRD, SEM, TEM, XPS, Raman, and electrochemical testing (EIS, cyclic voltammetry).
- • Fabricated all-solid-state supercapacitors for flexible electronics, bridging materials synthesis with device-level performance evaluation.
- • Authored standard operating procedures and technical reports for electrode preparation and characterization workflows.
Education
Master of Science in Chemical Engineering
University of Calgary
Sep 2021 – Sep 2023 · Calgary, Alberta
- • Thesis: Design of graphene/metal oxide aerogels for carbon capture and electrochemical energy storage
B.S. Chemical Engineering, Minor in Mechanical Engineering
Sharif University of Technology
Sep 2016 – Jun 2021 · Tehran, Iran
Featured Projects
View allSkills
Languages
Frameworks & Libraries
AI & Data Science
Databases
Materials Science
Tools & Platforms
Awards & Recognition
Theia Scientific Award
2025 Microscopy Hackathon
Nov 2025
Awarded for NanoRange, an AI-powered nanoparticle analysis platform using multiple specialized agents to detect, measure, and visualize nanoparticles from microscopy images.
DENS Mystery Award
2025 Microscopy Hackathon
Nov 2025
Second award for NanoRange at the same hackathon, recognizing the platform's innovative approach to automated microscopy analysis.
4th Place: Prize by Lila Sciences
2025 Hackathon on LLMs for Materials Science & Chemistry
Sep 2025
CrystaLenz ranked 4th among top-scoring projects in a global competition with over 1,000 participants across 100+ teams globally.
1st Place: SPE Datathon 2024
Society of Petroleum Engineers (SPE)
Oct 2024
Designed and implemented ML models (Random Forest, SARIMA) to forecast carbon emissions and support CCUS decision-making from large-scale climate data.
Alberta Innovates
University of Calgary
Sep 2021
This funding was provided for my master's studies to design novel materials for carbon capture in oil and gas industries.
Publications & Patents
One-Step Synthesis of Nitrogen/Sulfur Codoped Graphene/MnO2 Film as a High-Performance Supercapacitor
M. J. Raei, M. Trifkovic, E. P. L. Roberts, G. Natale
ACS Applied Energy Materials
Jul 2025
Design of Electrochemically Exfoliated Graphene for Supercapacitors
M. J. Raei
University of Calgary
Sep 2023
(Pending) Methods of Forming Exfoliated Graphene-Based Materials, Exfoliated Graphene-Based Materials, and Uses Thereof
S. Pal, M. Trifkovic, M. J. Raei, E. P. L. Roberts, G. Natale
US Patent
Oct 2023
Get In Touch
I'm always open to new opportunities and interesting projects. Feel free to reach out if you'd like to connect.


