About
I am M2 Artificial Intelligence student at Universite Paris-Saclay, France since September 2020. I have done my Bachelor in Computer Software Engineering from UET Peshawar, Pakistan. I am currently doing my M2 Internship as a Data Scientist at Crédit Agricole in Paris and also working as a freelance researcher at ChaLearn, USA.
My research interests include Machine Learning, Deep Learning, Computer Vision, Meta-Learning, Challenge Organization and Fainess in ML.
Education
Masters Artificial Intelligence
2020 - 2022
Université Paris-Saclay, Paris, France
BS Computer Software Engineering
2013 - 2017
University of Engineering and Technology Peshawar, Pakistan
CGPA: 3.70/4.0 Award: University Gold Medal
Work Experience
Research Software Engineer
Jan 2023 - Present
ChaLearn, U.S.A.
Data Science Internship
May 2022 - Oct 2022
Crédit Agricole SA, Paris
Topic: Fairness in AutoML
AI Research Internship
May 2021 - Aug 2021
LISN, Université Paris-Saclay
Topic: Meta-Learning, Computer Vision
Travail d'Etude et de Recherche
Jan 2021 - Feb 2021
Université Paris-Saclay
Topic: ML Challenge Organization
Software Project Manager
Jan 2020 - Aug 2020
Codematics Inc, Abbottabad Pakistan
Software Engineer
Jan 2019 - Dec 2019
Codematics Inc, Abbottabad Pakistan
Software Engineer
May 2018 - Dec 2018
Ocheng 偶橙 - Chinaccelerator, Shanghai China
IOS Developer
Feb 2017 - Apr 2018
Codematics Inc, Abbottabad Pakistan
Software Requirement Engineer
Oct 2016 - Jan 2017
Codecture, Abbottabad Pakistan
Part time
Freelance Experience
Machine Learning Researcher
Oct 2021 - Oct 2022
ChaLearn, U.S.A.
Academic Experience
Teaching Assistant
Oct 2021 - Mar 2022
Prof. Isabelle Guyon, Université Paris-Saclay
Training Experience
Android Development Trainer
Jun 2016 - Aug 2016
TechValley, Abbottabad Pakistan
Professional Skills
Machine Learning
Computer Vision
Meta-Learning
Deep Learning
Data Science
Fainess in ML
Challenge Organization
Project Management
Project Planning
Project Design
Product Development
Software Engineering
Software Development
Requirement Elicitation
Requirement Analysis
Mobile Applications Devlopment
IOS Development
Web Applications
Web Services
Innovation & Entrepreneurship
Wechat Mini-programs Development
Database Design & Development
Other Skills
Research Writing
Project Proposal Writing
Technical Report Writing
Code versioning (Git/Github)
Github Pages
Docker
Linux
Programming Languages & Tools
| Programming Languages | Python, JavaScript, Swift, Objective-C, Java, PHP |
|---|---|
| Machine Learning Tools & Libraries | Tensorflow, PyTorch, Scikit-Learn, Pandas, Numpy, Scipy, OpenCV |
| Databases | MySQL, PostgreSQL, NoSQL, Firebase database |
| Web Dev Frameworks | Laravel(front-end & back-end), Django(back-end) React(front-end), Vue(front-end) |
| Web Programming | HTML, CSS, Javascript, Bootstrap, Tailwind CSS |
| Mobile App Development | IOS (Native), Android (Native), Flutter (Hybrid) |
Projects
Research Projects
Fair Universe
Unbiased Data Benchmark Ecosystem for Physics
The goal of the three-year effort is to develop an open-source platform with the help of the Perlmutter supercomputer at the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab and then host benchmarks on that system to push the state of the art in AI for particle physics. The collaboration comprises Berkeley Lab, the University of Washington, and ChaLearn a nonprofit that organizes challenges to stimulate research machine learning.
Contributions: Machine Learning, Challenge Organization, Software Development (front-end and back-end) to improve Codabench by adding more features and resolving current issues.
Fairness in AutoML
Bias Mitigation in Machine Learning and AutoML(Confidential : for internal use at Crédit Agricole)
A python library for bias detection and mitigation.
Contributions: Bias detection in structured data, Bias mitigation algorithms
Meta-Album
A meta-dataset for few-shot image classification
Machine learning for low-data regime is an area of interest in the research. Few-shot learning is one popular way to tackle this problem. The lack of good, challenging and computationally feasible datasets is a hurdle in smooth progress in few-shot learning. To remedy this, we created Meta-Album meta-dataset for few-shot learning, meta-learning and other purposes. It consists of 40 datasets from different domains. This research is supervised by Professor Isabelle Guyon (LISN,Université Paris-Saclay, ChaLearn) and is submitted to NeurIPS 2022.
Contributions: Machine Learning, Deep Learning, Meta-Learning, Few-shot learning, Data preparation and processing
Deep Pollination
A series of ML challenges for classification of pollinating insects
Insects are very important for biodiversity, food chains, andpollination. It is of great importance to recognize insects, their habitats and to secure their natural environment. Machine learning, especially deeplearning techniques can be used to recognize and classify various insects. We introduce Deep-Pollination, a series of three machine learning challenges organized on Codalab for insects classification. A preprocessed version of the insects dataset (provided by MUSÉUM NATIONAL D’HISTOIRE NATURELLE) is used for these challenges which consistsof five classes and more than 200,000 images. This project is supervised by Professor Isabelle Guyon (LISN,Université Paris-Saclay, ChaLearn).
Contributions: Machine Learning, Deep Learning, Computer Vision, Challenge Organization
HCI Interface Design
Design of easy to use user interface for illiterate and semi-literate people
A study to design easy to use user interface for illiterate and semi-literate people to use mobile devices and computers easily. The study focuses on the use of images, animations, icons, video and background audio recordings and combinations of these to design user interfaces which enable these people to easily use computer platforms for job hunting, information gathering and for some other purposes.
Police CRMS
Malakand Levies Criminal Records Management System
A centralized and computerized system to replace the old files system and to equip the officials, office staff and check-posts staff to get updated data anywhere. HCI design principles are used in this project to make the transition from old system easy and to make it easier for semi-literate staff to use the new system.
Engineering Projects
Spotter Application
A software based solution for selling and buying parking spaces in Milan, Italy.
Contributions: Project Management, Design, Development and Deployment, IOS Development, Database design
Kardaan Application
A software based solution and established startup for hiring handymen services in Pakistan and Australia
Contributions: Project Management, Design, Development and Deployment, IOS Development, Database design, Web services, Startup development
Hello Demo Application
An application for music makers to share their work in their network and get their music signed
Contributions: IOS Development, Application deployment
Blood Community Application
An app based social services app to connect blood donors and receivers on one platform
Contributions: IOS Development, Database design, Web services
YÔGA Real Estate Solution
A platform for renting apartments, rooms, office spaces etc. in Paris and Shanghai
Contributions: Project Management, Web Development, IOS Development, Database design, Web services
Publications
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Published
Submitted to: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2022)
Cross-Domain MetaDL: Any-Way Any-Shot Learning Competition with Novel Datasets from Practical Domains
Accepted
NeurIPS 2022 Competition Track (2022)
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Published
PMLR - Proceedings of the NeurIPS 2021 Competition and Demonstration Track (2022)
MetaDL: Few Shot Learning Competition with Novel Datasets from Practical Domains
Accepted
NeurIPS 2021 Competition Track (2021)
Honors & Awards
Masters Excellence Scholarship
2020 - 2022
Université Paris-Saclay / Labex Digicosme
University Gold Medal
2017
University of Engineering and Technology Peshawar
Winner of 1 year Incubation for Startup KARDAAN
2019 - 2020
National Incubation Center, Islamabad Pakistan
8th position all over the country – Huawei ICT Skills Competition
2016
Arranged by Huawei
2nd position in province – KP Apps Challenge
2014
Arranged by Khyber Pakhtunkhwa (KP) Information Technology Board and World Bank
Leadership
President, Academics Society
Sep 2016 - July 2017
University of Engineering and Technology Peshawar
Vice President, Academics Society
Sep 2015 - Sep 2016
University of Engineering and Technology Peshawar
Events Organizer
Sep 2015 - July 2017
University of Engineering and Technology Peshawar
Basketball Coordinator, Sports & Recreational Society
Sep 2014 - July 2017
University of Engineering and Technology Peshawar
Languages
English
Urdu
Pashto
French
Interests
Hiking
Nature
Space & Astronomy
Fitness & Bodybuilding
Technology
References
Prof. Isabelle Guyon
Professor, Masters Artificial IntelligenceUniversité Paris-Saclay, France
guyon@chalearn.org
Prof. Kim Gerdes
Professor, Masters Artificial Intelligence Université Paris-Saclay, France
kim.gerdes@universite-paris-saclay.fr
Prof. Sadaqat Jan
Professor, DEAN Faculty of Computing University of Engineering & Technology Mardan, Pakistan
sadaqat@uetmardan.edu.pk
Prof. Ibrar Ali Shah
Professor, Dept. Computer Software Engineering University of Engineering & Technology Mardan, Pakistan
ibrar@uetmardan.edu.pk