Jan 2022 – Present · 4 yrs 5 mos

• ▪ Developed SOTA Arabic grammar error correction, enhancing text accuracy by 20% and boosting language services.
• ▪ Created SOTA Arabic handwriting recognition, streamlining digitization and increasing processing speed by 30%.
• ▪ Building LLMs based in low resource languages along with focus on improving current LLM evaluation methods.
• ▪ Working on building efficient LLMs for Healthcare, Social interaction and financial usage using Llama 2 models

Oct 2021 – Sep 2022 · 11 mos

Oct 2021 – Sep 2022 · 11 mos

• ▪ Lead 2 projects as team lead for the NLP team
• ▪ Built State-of-the-Art models for Image captioning, table recognition, OCR models and deployed them to AWS
• ▪ Developed NLP pipeline for fake news and image manipulation detection along with zero-shot methods for analysis

Jul 2021 – Jun 2022 · 11 mos

Jul 2020 – Aug 2021 · 1 yr 1 mo

• ▪ Hosted 20 events and workshops in 4 months to empower the tech community at UBC
• ▪ Led a team of 20 students as the core team and gained 500 members in 3 months
• ▪ Launched a Technical club online maintaining connections from around the world

Jul 2021 – Oct 2021 · 3 mos

Jun 2021 – Sep 2021 · 3 mos

May 2021 – Sep 2021 · 4 mos

Feb 2021 – May 2021 · 3 mos

• ▪ Built a FastAPI and deployed it to production
• ▪ Analyzed 1M of news articles to build a bias detection model
• ▪ Promoted to Canada Lead

Dec 2020 – Feb 2021 · 2 mos

• ▪ Built a Google Search Grants Analysis using Apify, SpaCy, Transformers, and SOTA NLP
• ▪ Collaborated on building an EDA Dashboard to analyze 1 million grants.
• ▪ Promoted to Lead ML Engineer at the end of the project.

Sep 2020 – Dec 2020 · 3 mos

• ▪ Built a Content-based recommendation system using the Facebook Star space Model to find documents related to the selected document
• ▪ Collaborated on building a knowledge gap identification system using sentiment analysis and NLP
• ▪ Promoted to Machine Learning Engineer Position at the end of the Project.

May 2021 – Dec 2021 · 7 mos

• ▪ Improved the AWS Lex API to generate better responses and improved user experience by 10%
• ▪ Implemented custom models to detect Heart failure symptoms from user-data
• ▪ Fixed and Improved text classification models to optimize them for large scale usage

May 2021 – Aug 2021 · 3 mos

• Notebooks-as-a-service for data geeks.
• Naas helps you script faster with low-code Python formulas, and automate all your tasks in minutes.

Dec 2020 – Jun 2021 · 6 mos

• ▪ Research assistant under Dr. Mohamed Nabeel Yoosuf at the Cyber Security department
• ▪ Built an ML Classifier to classify phishing Cryptocurrency websites using Random Forest
• ▪ Designing Deep-Learning LSTM system to enhance the model

Sep 2020 – May 2021 · 8 mos

• ▪ Implemented algorithms to recommend personalized activity feed with 85% accuracy
• ▪ Engineered ML Models using TensorFlow and Firebase ML Kit which is used 1,000 times each day
• ▪ Fixed bugs in fronted UI to improve performance by 25%

Aug 2020 – Dec 2020 · 4 mos · Menlo Park, California, United States

• ▪ Improved payments schema making it more efficient using MongoDB and Stripe connect
• ▪ Implemented custom login feature which increased user interaction by 50%
• ▪ Created an Ethereum based blockchain app using Digital Ocean

Jun 2020 – Aug 2020 · 2 mos

• Wrote clear and clean code for use in projects.
• Built a pipeline for Reddit Data source for sentiment analysis with NLP with 95% accuracy
• Displayed results using a React.js Dashboard
• TechStack: Java, SpringBoot, Apache Kafka, Docker, Hadoop, React.js

May 2020 – Jul 2020 · 2 mos

• Identified issues in software processes and implemented optimization techniques, resulting in an 85% increase in productivity.
• Created landing pages, dashboards, and web applications using React.js and TypeScript and GraphQL programming languages.
• Troubleshot, tested, and remedied identified issues before software deployment.
• TechStack: React.js, GraphQL, TypeScript, Python, Flask, AWS

Feb 2020 – May 2021 · 1 yr 3 mos

• Signal processing of electroencephalogram (EEG) signals to create a prototype that can translate brain waves into real commands that can be identified and carried out.
• Developed ML algorithm using PyTorch with 85% accuracy
• Built Flask API to connect PyTorch Model to Android UI
• TechStack: PyTorch, Flask, Java, CNN, and Android Studio

Nov 2019 – May 2020 · 6 mos · Vancouver, BC, Canada

• Designed websites, portals, and large scale web applications for multiple clients.
• Designed Calendar-based scheduling web app for scheduling workshops, primarily responsible for back end development
• TechStack: React.js, WordPress, Shopify

Aug 2019 – Feb 2020 · 6 mos · Al Dafna, Doha, Qatar

• Revamped social media presence using chat-bots built-in Python and JavaScript
• Designed job recommendation engine with 95% accuracy to screen desirable candidates for the job
• Designed Android and iOS applications for CareerHub

Jun 2019 – Aug 2019 · 2 mos · Doha

• As the customer experience associate my responsibility was to ensure patient satisfaction and obtain feedback from our client about how we can improve our services.