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Ahmad Ali

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Last updated: March 2026

Ahmad Ali

Philadelphia, PA · ahmad.ali4356@gmail.com ·linkedin.com/in/ahmadali · github.com/ahmadali

Professional Summary

Software engineer and biomedical scientist with dual graduate training in bioinformatics (Brandeis) and biomedical engineering (Johns Hopkins). Builds production data systems and full-stack applications for the restaurant industry. Published researcher in medical imaging and genomics. Studying for the patent bar examination with a focus on software and biotechnology IP.

Technical Skills

Languages: Python, TypeScript, JavaScript, R, SQL, Bash, C++, Objective-C, Java, Power BI DAX

Web & Backend: Node.js, Flask, FastAPI, Express, Drizzle ORM, REST APIs, Docker, Nginx, AWS Lambda

Data & Analytics: pandas, NumPy, SciPy, scikit-learn, matplotlib, seaborn, Plotly, D3.js, Power BI

Bioinformatics: Bioconductor, DESeq2, edgeR, limma, WGCNA, Biopython, SAMtools, BWA, BLAST, IGV, Cytoscape

Infrastructure: Git, Linux, Docker Compose, AWS (Lambda, S3), CI/CD, PostgreSQL, SQLite

Experience

Founder & Lead Engineer

2026 - Present

Zaffira LLC | Philadelphia, PA

  • Founded a technology consultancy building custom software products for the restaurant industry, including scheduling automation, financial dashboards, and operational reporting tools
  • Architecting a SaaS platform for multi-unit restaurant operators with automated data pipelines, real-time analytics, and management reporting
  • Designing system architecture across Python and TypeScript services with Docker, PostgreSQL, and AWS Lambda deployments

Data Analyst & Software Engineer

Oct 2021 - Present

IMAX Management / Keke's Breakfast Cafe | FL

  • Built an automated payroll scheduling system (Python, AWS Lambda) that parses ADP exports, calculates tip distributions, and generates compliance-ready reports
  • Developed a full-stack cash flow dashboard (TypeScript, Drizzle ORM, Docker, Nginx) integrating Restaurant365 API data with interactive financial visualizations
  • Created a management reporting web application (Flask, SQLite) with automated data collection pipelines and executive-level analytics
  • Designed Power BI dashboards for real-time tracking of sales, labor, and food cost metrics across multiple locations

Research Technician

Oct 2020 - Oct 2021

Metabolic Imaging Core, Harvard Medical School | Boston, MA

  • Developed Objective-C and Python analysis tools for CT and MRI image processing, including automated segmentation of shoulder and lumbar spine structures
  • Implemented Linux-based computational models for organ and tissue MRS spectroscopy correction
  • Performed MRI and CT imaging procedures on liver, spine, femur, marrow, and muscle for clinical research studies

Research Associate

Jun 2019 - Feb 2020

Temple University, Engineering Department | Philadelphia, PA

  • Tested electroblowing target materials to optimize nanofiber generation parameters for skin regeneration scaffolds
  • Improved nanofiber healing materials by enhancing density and structural thickness through iterative material testing

Education

MS in Applied Bioengineering

Johns Hopkins University | Baltimore, MD

2024 - Present

MS in Bioinformatics

Brandeis University | Waltham, MA

2021 - 2024

BS in Genetics and Developmental Biology

Pennsylvania State University | Abington, PA

2016 - 2019

Publications

Bunnell KM, Thaweethai T, Buckless C, Shinnick DJ, Torriani M, Foulkes AS, Bredella MA. “Body composition predictors of outcome in patients with COVID-19.” International Journal of Obesity 45, 2238-2243 (2021).

Bloomer SA, Brown KE, Kregel KC. “Renal Iron Accumulation and Oxidative Injury With Aging: Effects of Treatment With an Iron Chelator.” The Journals of Gerontology: Series A 75(4), 680-684 (2020).