Summary
Overview
Work History
Education
Skills
Websites
Publications
References
Awards
Patentsandcertifications
Accomplishments
Languages
Certification
Timeline
Generic

MAHDIEH KHALILI

Richmond hill,ON

Summary

Accomplished Senior AI Scientist with a proven track record at Kinectrics, specializing in multi-modal learning and Generative AI. Expert in leveraging NVIDIA pre-trained models and TensorFlow to innovate and optimize AI solutions. Demonstrated leadership in research and project management, significantly enhancing AI applications in the nuclear industry.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Senior AI Scientist

Kinectrics
Toronto, Canada
01.2024 - Current
  • Fine-tuned multimodal models (Lava, Gemini) for domain-specific data
  • Customized large language models to develop specialized chatbots tailored for nuclear industry applications
  • Developed reinforcement learning from human feedback (RLHF) models to optimize chatbot performance
  • Implemented Constitutional AI frameworks for ethical and regulatory compliance in chatbot designs
  • Designed and deployed a robust chatbot and search engine pipeline for structured and unstructured data on Azure Cloud Platform
  • Established data governance guidelines for secure handling and compliance of nuclear industry data

Senior Research Scientist (Part-Time)

Applied Recognition
Toronto, Canada
04.2023 - Current
  • Led the design and implementation of a Generative AI research line for 3D face generation from 2D face data
  • Developed proof of concept (POC) solutions and optimized models using GCP V100 and A100 GPUs
  • Collaborated closely with stakeholders to align research outcomes with business goals

Partial load Deep Learning Professor

George Brown College
Toronto, Canada
01.2023 - Current
  • Designed and developed course materials for Deep Learning, Mathematics in Deep Learning, and Advanced Mathematics in Deep Learning
  • Delivered engaging lectures and tutorials to students, incorporating real-world applications
  • Developed projects and assessments to enhance students’ practical understanding of deep learning concepts
  • Provided mentorship and technical support to students for research and capstone projects

AI Professor

Canestoga College (Part-Time)
Waterloo, Canada
09.2023 - 01.2024
  • Prepared and taught AI courses to international students, focusing on real-world applications and industrial practices
  • Delivered lectures and evaluated assignments and projects for both in-person and online courses
  • Integrated industry experience into course content to bridge the gap between academia and industry

Senior Research Scientist

Quantiphi (Canada)
Toronto, Canada
01.2022 - 03.2023
  • Designed and led multimodal ML models for molecule-text information retrieval using NVIDIA pretrained models
  • Created a visual question-answering system for medical images using state-of-the-art models (Gato, Flava, CLIP)
  • Filed a patent for translating chemical structural images into text identifiers

Senior Machine Learning Engineer

Quantiphi (Canada)
Toronto, Canada
02.2021 - 01.2022
  • Implemented NLP projects in Google Cloud for content search, text summarization, and question answering in medical domains
  • Developed anomaly detection pipelines for insurance claim validation and participated in Kaggle competitions

Machine Learning/Deep Learning Specialist

AGS Company (Italy)
Milan, Italy
04.2016 - 01.2020
  • Designed and delivered over 600 hours of tailored ML and DL courses for universities and corporate clients
  • Developed OCR and computer vision solutions, including object detection, image segmentation, and landmark detection
  • Implemented various deep learning architectures (e.g., CNN, LSTM, GAN) using TensorFlow and PyTorch

Research Scientist

Applied Recognition (Canada)
Toronto, Canada
06.2017 - 11.2017
  • Created a synthetic dataset for face detection model training using GANs
  • Developed and optimized a face detection pipeline

Education

Ph.D. - Computational Intelligence and Machine Learning

University of Genova
Italy
01.2016

Master's - Information Technology Engineering (E-Commerce)

University of Qom
Iran
01.2011

Bachelor’s - Applied Mathematics

Tehran Central Branch of Azad University
01.2009

Skills

  • Multi-modal learning
  • Generative AI
  • LLM
  • Computer vision
  • NLP
  • Image processing
  • Transformers
  • Cloud Platform (GCP, Azure, AWS)
  • Attention Mechanism
  • PyTorch
  • TensorFlow
  • Keras
  • GitLab
  • Docker
  • Sphinx
  • Pandas
  • Scikit-learn
  • Numpy
  • Scipy
  • PIL
  • OpenCV
  • Seaborn
  • Matplotlib
  • MLOps
  • Containers
  • Linux
  • Unit Testing
  • Distributed training
  • NVIDIA pre-trained models
  • SDKs
  • Machine learning
  • Research and experiments
  • Research methods
  • Research management
  • Project management

Publications

  • Dellepiane. G.S, Khalilinezhad. M, Ferretti. R, Tri-Phasic CT liver Characterization and colourdata fusion, International Journal of Advance Research in Computer and Communication Engineering, 4, 08/01/15, 2278-1021
  • Khalilinezhad. M, Dellepiane. Vernazza. G, Detecting HCC Tumor in Three Phasic CT liver Images with Optimization of Neural Network, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 9, 3, 2015
  • Khalilinezhad. M, Nadali. A, Dehghani. N, Ghazivakili. M, A Fuzzy Expert System for Assessing the Internet Stored Based on Web Site Attributes, ACEEE Int. J. on Information Technology, 3, 3, 09/01/13
  • Khalilinezhad. M, Dellepiane. S, Abedi. F, Vernazza.G, Extracting Hidden Patterns in Blood Donor Database using Association rule Mining, European Data mining conference, Lisbon, Portugal, 07/01/14
  • Goldasteh.P, Nadali.A, Khalilinezhad. M, Innovation Culture Assessment by Fuzzy System (Case Study: An Iranian IT Company), IEEE 14 on Information Management, Innovation Management and Industrial Engineering, 2011, China
  • Khalilinezhad. M, Minae. B, Prediction of Healthy Blood with Data Mining Classification by using Decision Tree, Naive Bayesian, and SVM Approaches, 3rd International Conference on Image, Vision and Computing (ICIVC 2014), Paris, France, 01/01/14
  • Khalilinezhad. M, Nadai.A, Evaluating Online Shopping Stores Based on Website Attributes Using Fuzzy Expert System, ACEEE International Conference on Advanced in Computer Science and Application, CSA, 2012
  • Khalilinezhad. M, Minae. B, Evaluation Discovered Rules from Association Rules Mining Based on Interestingness Measures Using Fuzzy case study: Credit Score of bank customers Expert System, IEEE 14th Application of Digital Information and web Technologies, University of Wisconsin-Stevens Point, 2012
  • Khalilinezhad.M, Nadali. A, Maturity Assessment of an Information Technology Organization Using Fuzzy Expert System Based on OPM3, IEEE Intentional Conference on Economic Management and Engineering Technology (ICETEM 2012), 2012, China
  • Nadali. A, Khalilinezhad. M, Innovation Culture Assessment by a Fuzzy Expert System, IEEE 14th on Information Management, Innovation Management and Industrial Engineering, 2011, China
  • Khalilinehad. M, Abedi. F, Nadali. A, Minaee.B, Probability Prediction of Having HIV, Hepatit B, C with using Data Mining Patterns in Blood Transfusion Organization, First Conference in Information Technology in Health, 2010, Hormozgan, Iran
  • Khalilinezhad. M, Minaee. B, Data mining in Blood Transfusion, Tehran, Iran, 2010
  • Khalilinezhad. M, Minaee. B, Identifying the User Behavior Using Association Rules, Iran, 2010
  • Khalilinezhad. M, Minaee. B, Data mining in Medicine, Iran, Tehran, 2010
  • Khalilinezhad. M, Strategic planning IS/IT: Approaches & Mechanism, Iran, Tehran, 2010
  • Khalilinezhad. M, Abedi. F., Minaee. B., Using data mining to discover hidden patterns in identifying the main cause of exemption in blood transfusion organization donors of Hormozgan province, 2008

References

Available upon request.

Awards

  • Three-year full scholarship for Ph.D. at the University of Genoa, Italy.
  • Two-year full scholarship for Master’s program in Information Technology Engineering.

Patentsandcertifications

System and Method for Translating Image of Structural Formula of Chemical Molecule into Textual Identifier, QUAN013US:28122022, TensorFlow Developer Certificate, 2021, 56233269, Google Cloud Machine Learning Engineer Certificate

Accomplishments

  • Three years full scolorship for PhD in Italy, Genova 2013-2016
  • Two years full fund for Master

Languages

English
Full Professional
Italian
Professional
Persian
Native/ Bilingual

Certification

TensorFlow Developer Certificate 2021, 56233269

Google Cloud Machine Learning Engineer.

Patent

filled: System and Method for Translating Image of Structural Formula of Chemical Molecule

into Textual Identifier Therefore, QUAN013US:28122022

Timeline

Senior AI Scientist

Kinectrics
01.2024 - Current

AI Professor

Canestoga College (Part-Time)
09.2023 - 01.2024

Senior Research Scientist (Part-Time)

Applied Recognition
04.2023 - Current

Partial load Deep Learning Professor

George Brown College
01.2023 - Current

Senior Research Scientist

Quantiphi (Canada)
01.2022 - 03.2023

Senior Machine Learning Engineer

Quantiphi (Canada)
02.2021 - 01.2022

Research Scientist

Applied Recognition (Canada)
06.2017 - 11.2017

Machine Learning/Deep Learning Specialist

AGS Company (Italy)
04.2016 - 01.2020

Ph.D. - Computational Intelligence and Machine Learning

University of Genova

Master's - Information Technology Engineering (E-Commerce)

University of Qom

Bachelor’s - Applied Mathematics

Tehran Central Branch of Azad University
MAHDIEH KHALILI