Arman Mohammadigilani - Junior Research Engineer

Q: What languages does Arman speak?

Arman speaks the following languages: Persian (Native), German (Advanced), English (Advanced), Italian (Intermediate) .

Q: How many years of experience does Arman have?

Arman has at least 1 year of experience. During this time, Arman has worked in at least 2 different roles and for 2 different companies . The average length of individual experience is 1 year and 7 months . Note that Arman may not have shared all experience and actually has more experience.

Q: What is Arman's latest experience?

Arman's most recent position is Junior Research Engineer at Saipa Expansion Engineering Co. (SEECO) .

Q: Which industries is Arman most experienced in?

Arman is most experienced in industries like Construction , Automotive , and Manufacturing .

Q: Which business areas is Arman most experienced in?

Arman is most experienced in business areas like Business Intelligence , Information Technology , and Operations . Arman also has some experience in Logistics and Research and Development .

Q: What is Arman's education?

Arman holds a Master in ICT for Smart Societies from Polytechnic University of Turin and a Bachelor in Electrical Engineering from Shahid Beheshti University .

Q: How to hire Arman?

To hire Arman, click the Meet button on the profile to request a meeting and discuss your project needs.

Recommended expert

Italy

Check rate

Experience

Aug 2020 - Feb 2021

7 months

Junior Research Engineer

Saipa Expansion Engineering Co. (SEECO)

Led a feasibility study on adopting Automated Guided Vehicles (AGVs) in industrial logistics, mapping existing material-handling workflows and identifying opportunities to boost throughput and reduce manual intervention.
Pioneered and simulated a machine learning-based AGV route-optimization prototype, demonstrating a 20% reduction in idle travel distance and a 12% decrease in average task completion time.
Deployed Python-based vendor benchmarking scripts, assessing 12 AGV manufacturers on 25 performance metrics, streamlining the selection process and reducing evaluation time by 40%.
Integrated statistical modeling and discrete-event simulation in Python to project an ROI of 18% over two years by selecting top three AGV vendors for strategic trade partnerships.

Sep 2019 - May 2020

9 months

Junior Structural Data Engineer

Abadis Braces for Concrete Structures Company

Tackled missed micro-cracks by training a Random Forest on sensor and load data, achieving 92% maintenance prediction accuracy and cutting unplanned downtime by 25%.
Addressed material overuse through Python/MATLAB analysis of strain measurements, recommending brace design tweaks that reduced costs by 10% and extended lifespan by 15%.
Eliminated manual reporting delays by building automated ETL pipelines and weekly dashboards, speeding decision cycles by 40% and boosting maintenance-scheduling accuracy to 90%.

DREAM-FLUTE: Commonsense QA Enhancement

Integrated T5-BASE with the DREAM elaboration model, fine-tuning on 9,700 CoS-E samples, resulting in a 40.46% accuracy for multiple-choice QA and elevating to be one of the top solutions for the dataset.
Augmented BERT with DREAM-generated elaborations to boost CoS-E accuracy to 20.48%, achieving an absolute gain of 0.09% and pinpointing areas for further optimization.
Enhanced question-answering system performance by dedicating 10 weekly hours to code optimization, resulting in a 15% improvement in processing speed and a more efficient system overall.
Technologies: Python, PyTorch, Hugging Face Transformers (T5, BERT), TensorFlow, CoS-E dataset.

ICT-Enabled Building Energy Optimization & Prediction

Simulated a 12-zone school in EnergyPlus with hourly climate data, revealing heating, cooling, and electricity inefficiencies.
Trained a surrogate ANN model on 40 design alternatives using NSGA-II optimization, reducing annual energy demand by ~19% through optimized glazing configurations.
Automated EnergyPlus runs using Python and Eppy, processing over 17,000 hourly data points to evaluate climate sensitivity.
Emulated IoT sensors with MQTT, streaming real-time data to InfluxDB for smart building dashboards.
Performed energy signature analysis via OLS regression, achieving R² up to 0.82, quantifying responsiveness to outdoor temperature.
Configured LSTM neural networks predicting hourly heating and cooling loads with under 5% error, enabling energy management.
Technologies: EnergyPlus, DesignBuilder, Python, Eppy, scikit-learn, TensorFlow, MQTT, InfluxDB.

IoT Platform for Automated Irrigation & Plant Health Monitoring

Constructed a data pipeline with Python, CherryPy, Flask, Paho-MQTT, Docker, and ThingSpeak to stream over 20,000 data points and leveraged those insights to optimize resource allocation and eliminate operational bottlenecks.
Simulated soil-moisture, temperature, and humidity sensors with Python and Paho-MQTT, achieving 12 ms encryption and publishing latency over 1,000 messages (Fernet/AES).
Engineered a Keras-based artificial neural network using 201 data samples, achieving 94% accuracy in irrigation decisions and optimizing water usage by 15% compared to traditional methods.
Developed a system that decrypted streams and detected leaf diseases via an EC2-hosted Flask/InceptionV3 service at 50 images per minute, logging over 100 events and managing 100 unique data logs daily.
Technologies: Python, CherryPy, Flask, Paho-MQTT, Telepot, TensorFlow/Keras, scikit-learn, Docker, ThingSpeak, Fernet, SHA-256 hashing.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Automotive, Manufacturing, and Construction.

Automotive

Manufacturing

Construction

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Logistics, Research and Development, Business Intelligence, Information Technology, and Operations.

Logistics

Research and Development

Business Intelligence

Information Technology

Operations

Summary

Final-year M.Sc. student in ICT for Smart Societies, specializing in Machine Learning, Computer Vision and NLP. Design and deploy deep learning and RAG-based QA systems, anomaly detection pipelines, IoT solutions, and applying AI and ML techniques to engineering and construction challenges. Built end-to-end ML workflows—including AGV route optimization and large-scale time-series forecasting—with integrated MLOps practices. Seeking an AI/ML/NLP internship or entry-level role to drive data-led decision-making, streamline processes, and deliver measurable impact.

Skills

Machine Learning & Ai: Deep Learning, Regression, Classification, Clustering, Computer Vision & Image Processing, Nlp (Natural Language Processing), Generative Ai.
Programming Languages: Python, C++, Matlab/simulink, Sql.
Frameworks & Libraries: Tensorflow, Pytorch, Keras, Scikit-learn, Opencv, Hugging Face Transformers, Numpy, Pandas, Matplotlib, Seaborn, Nltk, Spacy, Xgboost, Textacy.
Big Data & Streaming: Apache Spark/mllib, Apache Flink.
Mlops: Docker, Kubernetes, Git/github, Ci/cd.
Cloud Platforms: Aws, Azure, Google Cloud Platform.
Databases: Mysql, Mongodb, Postgresql.
Web & Apis: Restful Api Design & Implementation (Flask, Fastapi, Django Rest Framework).
Data Visualization: Tableau, Power Bi.

Languages

Persian

Native

German

Advanced

English

Advanced

Italian

Intermediate

Education

Oct 2021 - Dec 2025

Polytechnic University of Turin

M.Sc. in ICT for Smart Societies · ICT for Smart Societies · Italy

Oct 2018 - Jun 2021

Shahid Beheshti University

B.Sc. in Electrical Engineering · Electrical Engineering · Tehran, Iran, Islamic Republic of

Statistics

Experience

Total positions 5

Experience in Automotive 0.5 y

Avg length 3 m

Longest experience 8 m

Expertise

Recent roles Junior Research Engineer, Junior Structural Data Engineer

Main industries Automotive, Manufacturing, Construction

Main business areas Logistics, Research and Development, Business Intelligence

Qualifications

Highest degree Master

Profile

Created

September 2025

Last Update

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

What languages does Arman speak?

Arman speaks the following languages: Persian (Native), German (Advanced), English (Advanced), Italian (Intermediate).

How many years of experience does Arman have?

Arman has at least 1 year of experience. During this time, Arman has worked in at least 2 different roles and for 2 different companies. The average length of individual experience is 1 year and 7 months. Note that Arman may not have shared all experience and actually has more experience.

What roles would Arman be best suited for?

Based on recent experience, Arman would be well-suited for roles such as: Junior Research Engineer, Junior Structural Data Engineer.

What is Arman's latest experience?

Arman's most recent position is Junior Research Engineer at Saipa Expansion Engineering Co. (SEECO).

Which industries is Arman most experienced in?

Arman is most experienced in industries like Construction, Automotive, and Manufacturing.

Which business areas is Arman most experienced in?

Arman is most experienced in business areas like Business Intelligence, Information Technology, and Operations. Arman also has some experience in Logistics and Research and Development.

What is Arman's education?

Arman holds a Master in ICT for Smart Societies from Polytechnic University of Turin and a Bachelor in Electrical Engineering from Shahid Beheshti University.

What is the availability of Arman?

Arman is immediately available for suitable projects.

What is the rate of Arman?

Arman's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.