Meghana Bhange
AI Engineer | Grad Student
About Me
Resume
Education
May 2023 - April 2025
Master's in Information Technology Engineering
École de Technologie Supérieure, Montréal, CanadaThesis: Privacy Preserving Complaint Resolution System, supervised by Prof. Ulrich Aivodji and co-supervised by Prof. Jean-Marc Robert.
Courses: Applied AI (COMP 6721, Concordia University), Cryptography & Data Security (COMP 547, McGill University), Ethics of Intelligent Systems (ECSE 557, McGill University).
Aug 2016 - Jul 2020
B.Tech. in Electronics and Telecommunication Engineering
Cummins College of Engineering for Women, Pune, IndiaFounded the Artificial Intelligence and Computer Vision club (AICVS) and organized workshops and seminars.
Electives: Information Theory, Communication Theory, Intellectual Property Rights (IPR).
Work Experience
Jan 2023 - Present
Toptal - RemoteFreelance Machine Learning Engineer
NLP Specialist at UInclude, Inc. (2023 - Present): Developed biased word matching model and synonym enricher using SpaCy, GPT-3, and FastAPI on AWS.
ML Engineer for Denaro Capital Partners L.P. (2024 - Present): Developed automated trading platform using technical indicators and optimization algorithms.
Sept 2021 - Oct 2022
Hunters Security - RemoteMachine Learning Engineer
Built analytical tools for threat-hunting detectors and developed ETLs for data processing pipelines using Snowflake and AWS RDS.
July 2020 - Sept 2021
Verloop.io - Bangalore, IndiaMachine Learning Engineer
Improved intent recognition accuracy and developed a multi-lingual name recognition service. Refactored model deployment pipelines.
Research Experience
Sept 2024 - Present
Master's Researcher at Mila - Quebec AI Institute
Conducting research on deep learning, NLP, and privacy-preserving technologies under Prof. Ulrich Aivodji and Dr. Samira Ebrahimi Kahou.
June 2022 - Present
TISL Lab at ÉTS Montréal - Fully RemoteAffiliated Researcher
Research on model extraction attacks with counterfactual explanation APIs. Modelling adversaries for high-fidelity model extraction attacks.
Publications
A comprehensive overview of current and future ethical concerns in AI, focusing on fairness, privacy, accountability, and transparency.
International Workshop on Semantic Evaluation 2020.
IEEE World Forum on Internet of Things (WF-IoT 2019).
IEEE International Symposium on Smart Electronic Systems (iSES 2018).
Awards and Honors
ÉTS Tuition Fee Exemption (2024): Selected for exemption from additional tuition fees by Dean of Studies, ETS under under grants by Ministère de l'Enseignement supérieur, Quebec.
Kaggle AI Report 2023: Awarded Top Essay for "Exploring the landscape of AI Ethics."
UN PET Lab Hackathon 2022: Awarded Best All-Female Team for privacy-enhancing technologies.
Toptal Hackathon 2022: Awarded Second Prize for AI-assisted Cards Against Humanity game.
Programming Skills
Deep Learning Frameworks
PyTorch, Keras, fastAI
Natural Language Processing
SpaCy, NLTK, Hugging Face
Model Deployment & MLOps
Kubernetes, Docker, Flask, FastAPI
Data Engineering
SQL, Snowflake, AWS RDS
Research Skills
Privacy-Preserving Systems
Cryptographic protocols, PETs, Attribute-Based Credentials (ABCs).
Adversarial Machine Learning
Model extraction attacks, counterfactual explanations.
Natural Language Processing
Multilingual NLP, sentiment analysis.