Abdullah Abdul

Motivated professional with expertise in machine learning, bioinformatics, and backend development, seeking to leverage technical skills and collaborate on multidisciplinary projects that address complex challenges in healthcare, technology, and scientific research.

Nikaya Health Inc  Remote, California

Backend Engineer (Dec 2023 –Present, Volunteer)

• Developed and deployed data pipelines and APIs to support data workflows and integration.
• Utilized AWS infrastructure for data engineering and optimized data pipelines for scalability.
• Implemented robust practices for system documentation and deployment to ensure reliability.

• Streamlined bioinformatics projects by developing Python scripts for data processing and management, improving project efficiency by 30%.
• Designed machine learning models using RNA-seq data from GTEx and HPA to identify tissue specificity, achieving high accuracy in classification.
• Developed advanced predictive analytics models using RNA-seq data to support bioinformatics research.
• Conducted ETL processes to clean, transform, and prepare large datasets for machine learning applications, optimizing data workflows.
• Conducted statistical analyses using Z-scores and normal distribution to interpret results and validate machine learning outputs.
• Designed and maintained data pipelines for processing complex datasets, enabling real-time analysis.
• Implemented multiprocessing techniques to optimize machine learning models, reducing computational costs by 70% and significantly improving training efficiency
• Created clear documentation and visualizations to support data-informed decision-making across teams

• Designed and deployed secure REST APIs using Python Flask for Hyperledger Blockchain, enabling efficient and reliable interaction with distributed ledger systems.
• Automated blockchain data retrieval by integrating WebSocket connections with APIs, reducing manual intervention and enhancing system reliability.
• Configured, optimized, and maintained PostgreSQL databases, leveraging SQL queries for data extraction, transformation, and loading (ETL) to streamline workflows and enable complex analytics.
• Built Python-based tools for data preprocessing, improving the efficiency of analyzing large blockchain datasets.

• Developed and enforced robust authentication mechanisms using JWT, ensuring secure communication and data integrity.
• Collaborated on the development of blockchain-based APIs, ensuring secure data storage and seamless backend integration for aerospace applications.
• Maintained comprehensive authentication protocols to enhance data security and prevent unauthorized access.

Machine Learning/AI Mentor (Jun 2023 – Aug 2023, Full-Time)

• Facilitated two projects: Finding Novel Biomarker for Prostate and Colon Cancer using Machine Learning using RNA-Sequence dataset 
• Trained Students in Machine Learning, Python, and Bioinformatics
• Utilized and various tools in Machine Learning and Data Visualizations 
• Collaborated with other Teams, and provided one-to-one assistance

Bioinformatics Analyst (August 2021 – May 2023, Part-Time)

• Conducted research to identify novel biomarkers for Triple-Negative Breast Cancer using machine learning algorithms and RNA-seq data.
• Developed and optimized bioinformatics pipelines, reducing data processing time by 25%.
• Analyzed datasets with 60,000 genes and 100+ samples, extracting meaningful features for downstream analysis.
• Leveraged Python and R for data filtration, mining, and visualization, enhancing research efficiency.
• Collaborated with researchers to identify gene expressions, contributing to two publications.

Tutor / Teaching Assistant Aug 2016 – May 2018

• Tutored undergraduate students in STEM courses, including Chemistry, Biology, and Calculus, improving academic performance through personalized instruction

Public Health Researcher June 2015 – May 2017

• Led a study on diabetes risk among college students, utilizing statistical analysis and breath acetone measurements
• Collaborated with faculty and secured NIH funding through a grant proposal.

Lab Assistant June 2016 – Sept2016

• Performed DNA extraction and analysis, ensuring precise records for clinical research.

EDUCATION

Master of Science in Bioinformatics GPA: 4.0/4.0

Morgan State University Baltimore, MD

Bachelor of Science in Biology with Honors, Minor in Chemistry GPA: 3.7/4.0