
Timeline
About me
Machine Learning Engineer | Data Scientist | AWS Certified | MSc AI @ Essex
Education

Air university
2016 - 2020Bachelor of science - bs computer science cgpa: 3.17, cs majors: 3.41Coursework: Data Science, Artificial Intelligence, Data Structures and Algorithms, Design and Analysis of Algorithms, Database Systems, Computer Communication and Networks, Full Stack Web Development, Game Design

University of essex
2023 - 2024Master of science - ms artificial intelligence distinction, cgpa: 4.0/4.0Coursework: Deep Learning, Machine Learning, Natural Language Engineering, Intelligent Systems and Robotics, Data Science and Decision Making, Big Data for Computational FinanceDissertation: VidInstructQA: Zero-Shot Multimodal Prompt-Guided Video Understanding and Question AnsweringDissertation Advisor: Dr. Luca Citi
Experience

Air university
Jan 2020 - Jul 2020Undergraduate teaching assistant- Assisted with planning the syllabus, organizing guest lectures, designing course and lab assignments, and collecting feedback for CS469: Data Science.

Fiverr
Jul 2020 - Sept 2021Machine learning engineer- Provided machine learning and application development services. Completed projects such as: Automated Test Checker and Feedback Generator, Resume Ranking System, and Soccer Score.

Neurog
Oct 2021 - May 2022Junior machine learning engineer- Collaborated with cross-functional teams to develop end-to-end data-driven solutions for NFT price prediction and multimodal in-bed pose estimation. Performed preprocessing, feature engineering, and analysis on different datasets.- Implemented automated data collection pipelines, including web scraping and API integrations for diverse data sources like OpenSea, social media platforms, integrating crypto and commodity prices from Binance and Yahoo Finance.- Created annotation tools on Tkinter and interactive web applications for Decentraland and Sandbox, presenting micro-feature information. Contributed to model development, achieving 68% accuracy in price prediction and 71% [email protected] performance in pose estimation. Show less

Air university
Jun 2022 - Mar 2023Research engineer- Led multiple research projects including Fake Job Classification, Sentiment Analysis of Covid Vaccine Opinions, and ECG Classification on PhysioNet.- Scraped and labeled 10,000+ tweets for sentiment analysis of the Pakistani public regarding Covid vaccines, fine-tuned BERT, and achieved a 95.62 F1 score. Analysis revealed 42% neutral, 41% positive, and 17% negative sentiments.- Designed a hybrid residual-inception network for ECG classification on a Kaggle PhysioNet dataset, achieving a third-best score of 50.87%. Show less

Illinois institute of technology
Jun 2023 - Jul 2023Data analyst- Designed and developed a dynamic Power BI dashboard to visualize and analyze facebook marketing data, providing actionable insights for decision-making.- Conducted data cleaning, transformation, and statistical analysis on large datasets to identify key trends and optimize marketing strategies.- Elevate Experiential Learning Program + Tuition Scholarship

Essex brain-computer interfaces and neural engineering lab
Jan 2024 - Jan 2025Graduate student researcher
Walmart
Jan 2025 - nowDigital associate
Licenses & Certifications
- View certificate

Machine learning
UdemyJun 2021 - View certificate

Deep learning
UdemyJun 2021 
Deep learning specialization
Deeplearning.aiOct 2024- View certificate

Power bi
UdemyFeb 2022 - View certificate
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Aws certified ai practitioner
Amazon web services (aws)Jan 2025
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